curve-fitting
APPLIED MATHEMATICSSE Computer Sceience and EngineeringM.C.Q.on Curve FittingMr. S.S. SalgareDepartment of MathematicsSanjay Ghodawat Group of Institutions,AtigreMr. S.S. Salgare Department of Mathematicsmake a LaTeX presentaion using beamer
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APPLIED MATHEMATICS
SE Computer Sceience and Engineering
M.C.Q.on Curve Fitting
Mr. S.S. Salgare
Department of Mathematics
Sanjay Ghodawat Group of Institutions,
Atigre
Mr. S.S. Salgare Department of Mathematics
make a LaTeX presentaion using beamer
M.C.Q. on Curve Fitting
1) The range of the correlation coefficient is?
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
1) The range of the correlation coefficient is?
A) (−1, 1)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
1) The range of the correlation coefficient is?
A) (−1, 1)
B) (0, 1)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
1) The range of the correlation coefficient is?
A) (−1, 1)
B) (0, 1)
C) [−1, 1]
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
1) The range of the correlation coefficient is?
A) (−1, 1)
B) (0, 1)
C) [−1, 1]
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
1) The range of the correlation coefficient is?
A) (−1, 1)
B) (0, 1)
C) [−1, 1]
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
2) For estimating value of variable X
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
2) For estimating value of variable X
A) Regression equation of Y on
X is used
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
2) For estimating value of variable X
A) Regression equation of Y on
X is used
B) Regression equation of X on
Y is used
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
2) For estimating value of variable X
A) Regression equation of Y on
X is used
B) Regression equation of X on
Y is used
C) Both regression equations of
Y on X and X on Y are used
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
2) For estimating value of variable X
A) Regression equation of Y on
X is used
B) Regression equation of X on
Y is used
C) Both regression equations of
Y on X and X on Y are used
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
2) For estimating value of variable X
A) Regression equation of Y on
X is used
B) Regression equation of X on
Y is used
C) Both regression equations of
Y on X and X on Y are used
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
3) Which of the following can not be the possible value of a
correlation coefficent?
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
3) Which of the following can not be the possible value of a
correlation coefficent?
A) r= 1.99
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
3) Which of the following can not be the possible value of a
correlation coefficent?
A) r= 1.99
B) r= 0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
3) Which of the following can not be the possible value of a
correlation coefficent?
A) r= 1.99
B) r= 0
C) r= - 0.73
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
3) Which of the following can not be the possible value of a
correlation coefficent?
A) r= 1.99
B) r= 0
C) r= - 0.73
D) r= - 1.0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
3) Which of the following can not be the possible value of a
correlation coefficent?
A) r= 1.99
B) r= 0
C) r= - 0.73
D) r= - 1.0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
4) Which of the following indicates a strong negative correlation?
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
4) Which of the following indicates a strong negative correlation?
A) r= - 0.846
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
4) Which of the following indicates a strong negative correlation?
A) r= - 0.846
B) r= - 0.793
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
4) Which of the following indicates a strong negative correlation?
A) r= - 0.846
B) r= - 0.793
C) r= 0.913
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
4) Which of the following indicates a strong negative correlation?
A) r= - 0.846
B) r= - 0.793
C) r= 0.913
D) r= 0.45
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
4) Which of the following indicates a strong negative correlation?
A) r= - 0.846
B) r= - 0.793
C) r= 0.913
D) r= 0.45
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
5) Which of the following indicates a negative correlation of lower
degree ?
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
5) Which of the following indicates a negative correlation of lower
degree ?
A) r= - 0.23
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
5) Which of the following indicates a negative correlation of lower
degree ?
A) r= - 0.23
B) r= - 0.58
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
5) Which of the following indicates a negative correlation of lower
degree ?
A) r= - 0.23
B) r= - 0.58
C) r= - 0.99
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
5) Which of the following indicates a negative correlation of lower
degree ?
A) r= - 0.23
B) r= - 0.58
C) r= - 0.99
D) r= - 0.09
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
5) Which of the following indicates a negative correlation of lower
degree ?
A) r= - 0.23
B) r= - 0.58
C) r= - 0.99
D) r= - 0.09
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
6) With the help of correlation coefficient one can study
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
6) With the help of correlation coefficient one can study
A) Relationship between any
two attributes
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
6) With the help of correlation coefficient one can study
A) Relationship between any
two attributes
B) Relationship between any
two Variables
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
6) With the help of correlation coefficient one can study
A) Relationship between any
two attributes
B) Relationship between any
two Variables
C) Relationship of more than
two variables
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
6) With the help of correlation coefficient one can study
A) Relationship between any
two attributes
B) Relationship between any
two Variables
C) Relationship of more than
two variables
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
6) With the help of correlation coefficient one can study
A) Relationship between any
two attributes
B) Relationship between any
two Variables
C) Relationship of more than
two variables
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
7) In a scatter diagram, all the points lie on a rising straight line
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
7) In a scatter diagram, all the points lie on a rising straight line
A) Perfect positive correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
7) In a scatter diagram, all the points lie on a rising straight line
A) Perfect positive correlation
B) Perfect negative correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
7) In a scatter diagram, all the points lie on a rising straight line
A) Perfect positive correlation
B) Perfect negative correlation
C) no correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
7) In a scatter diagram, all the points lie on a rising straight line
A) Perfect positive correlation
B) Perfect negative correlation
C) no correlation
D) None of the above
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
7) In a scatter diagram, all the points lie on a rising straight line
A) Perfect positive correlation
B) Perfect negative correlation
C) no correlation
D) None of the above
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
8) If equation of the line of regression of y on x is with positive
slope
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
8) If equation of the line of regression of y on x is with positive
slope
A) correlation coefficient is
positive
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
8) If equation of the line of regression of y on x is with positive
slope
A) correlation coefficient is
positive
B) correlation coefficient is
negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
8) If equation of the line of regression of y on x is with positive
slope
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) no correlation between x and
y
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
8) If equation of the line of regression of y on x is with positive
slope
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) no correlation between x and
y
D) none of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
8) If equation of the line of regression of y on x is with positive
slope
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) no correlation between x and
y
D) none of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
9) If equation of the line of regression of y on x is with negative
slope
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
9) If equation of the line of regression of y on x is with negative
slope
A) correlation coefficient is
positive
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
9) If equation of the line of regression of y on x is with negative
slope
A) correlation coefficient is
positive
B) correlation coefficient is
negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
9) If equation of the line of regression of y on x is with negative
slope
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) no correlation between x and
y
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
9) If equation of the line of regression of y on x is with negative
slope
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) no correlation between x and
y
D) none of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
9) If equation of the line of regression of y on x is with negative
slope
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) no correlation between x and
y
D) none of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
10) If the regression coefficient of X on Y and Y on X are -0.5 and
-0.5 respectivly then the correlation coefficent between X and Y is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
10) If the regression coefficient of X on Y and Y on X are -0.5 and
-0.5 respectivly then the correlation coefficent between X and Y is
A) 1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
10) If the regression coefficient of X on Y and Y on X are -0.5 and
-0.5 respectivly then the correlation coefficent between X and Y is
A) 1
B) 0.5
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
10) If the regression coefficient of X on Y and Y on X are -0.5 and
-0.5 respectivly then the correlation coefficent between X and Y is
A) 1
B) 0.5
C) - 0.5
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
10) If the regression coefficient of X on Y and Y on X are -0.5 and
-0.5 respectivly then the correlation coefficent between X and Y is
A) 1
B) 0.5
C) - 0.5
D) - 0.25
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
10) If the regression coefficient of X on Y and Y on X are -0.5 and
-0.5 respectivly then the correlation coefficent between X and Y is
A) 1
B) 0.5
C) - 0.5
D) - 0.25
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
11) If regression coefficients are negative then
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
11) If regression coefficients are negative then
A) correlation coefficient is
positive
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
11) If regression coefficients are negative then
A) correlation coefficient is
positive
B) correlation coefficient is
negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
11) If regression coefficients are negative then
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) correlation coefficient is
positive and negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
11) If regression coefficients are negative then
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) correlation coefficient is
positive and negative
D) none of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
11) If regression coefficients are negative then
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) correlation coefficient is
positive and negative
D) none of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
12) If regression coefficients are positive then
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
12) If regression coefficients are positive then
A) correlation coefficient is
positive
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
12) If regression coefficients are positive then
A) correlation coefficient is
positive
B) correlation coefficient is
negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
12) If regression coefficients are positive then
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) correlation coefficient is
positive and negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
12) If regression coefficients are positive then
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) correlation coefficient is
positive and negative
D) none of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
12) If regression coefficients are positive then
A) correlation coefficient is
positive
B) correlation coefficient is
negative
C) correlation coefficient is
positive and negative
D) none of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
13) The correlation measures the strength and direction of the non
linear relationship between two variables
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
13) The correlation measures the strength and direction of the non
linear relationship between two variables
A) Totally True
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
13) The correlation measures the strength and direction of the non
linear relationship between two variables
A) Totally True
B) Totally False
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
13) The correlation measures the strength and direction of the non
linear relationship between two variables
A) Totally True
B) Totally False
C) Partially true
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
13) The correlation measures the strength and direction of the non
linear relationship between two variables
A) Totally True
B) Totally False
C) Partially true
D) Partially False
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
13) The correlation measures the strength and direction of the non
linear relationship between two variables
A) Totally True
B) Totally False
C) Partially true
D) Partially False
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
14) Which of the following indicate negative correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
14) Which of the following indicate negative correlation
A) Number of accidents and number of motor vechicals in a city.
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
14) Which of the following indicate negative correlation
A) Number of accidents and number of motor vechicals in a city.
B) price and sale of the commodity
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
14) Which of the following indicate negative correlation
A) Number of accidents and number of motor vechicals in a city.
B) price and sale of the commodity
C) Rainfall and production of cars
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
14) Which of the following indicate negative correlation
A) Number of accidents and number of motor vechicals in a city.
B) price and sale of the commodity
C) Rainfall and production of cars
D) Advertising and sales
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
14) Which of the following indicate negative correlation
A) Number of accidents and number of motor vechicals in a city.
B) price and sale of the commodity
C) Rainfall and production of cars
D) Advertising and sales
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
15) Which of the following indicate positive correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
15) Which of the following indicate positive correlation
A) Both variables change in the
same direction
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
15) Which of the following indicate positive correlation
A) Both variables change in the
same direction
B) Both variables change in the
opposite direction
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
15) Which of the following indicate positive correlation
A) Both variables change in the
same direction
B) Both variables change in the
opposite direction
C) The graph is a horizontal
line
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
15) Which of the following indicate positive correlation
A) Both variables change in the
same direction
B) Both variables change in the
opposite direction
C) The graph is a horizontal
line
D) Sign of the correlation
coefficient is negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
15) Which of the following indicate positive correlation
A) Both variables change in the
same direction
B) Both variables change in the
opposite direction
C) The graph is a horizontal
line
D) Sign of the correlation
coefficient is negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
16) Which of the following indicate negative correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
16) Which of the following indicate negative correlation
A) Both variables change in the
same direction
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
16) Which of the following indicate negative correlation
A) Both variables change in the
same direction
B) Both variables change in the
opposite direction
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
16) Which of the following indicate negative correlation
A) Both variables change in the
same direction
B) Both variables change in the
opposite direction
C) The graph is a horizontal
line
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
16) Which of the following indicate negative correlation
A) Both variables change in the
same direction
B) Both variables change in the
opposite direction
C) The graph is a horizontal
line
D) Sign of the correlation
coefficient is negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
16) Which of the following indicate negative correlation
A) Both variables change in the
same direction
B) Both variables change in the
opposite direction
C) The graph is a horizontal
line
D) Sign of the correlation
coefficient is negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
17) Two variables X and Y are linearly related
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
17) Two variables X and Y are linearly related
A) If the value correlation
coefficient is 0 one
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
17) Two variables X and Y are linearly related
A) If the value correlation
coefficient is 0 one
B) If the value correlation
coefficient is 0.2
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
17) Two variables X and Y are linearly related
A) If the value correlation
coefficient is 0 one
B) If the value correlation
coefficient is 0.2
C) If the value correlation
coefficient is ±1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
17) Two variables X and Y are linearly related
A) If the value correlation
coefficient is 0 one
B) If the value correlation
coefficient is 0.2
C) If the value correlation
coefficient is ±1
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
17) Two variables X and Y are linearly related
A) If the value correlation
coefficient is 0 one
B) If the value correlation
coefficient is 0.2
C) If the value correlation
coefficient is ±1
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
18) Two variables X and Y are not linearly correlated
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
18) Two variables X and Y are not linearly correlated
A) If the value correlation
coefficient is 0 one
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
18) Two variables X and Y are not linearly correlated
A) If the value correlation
coefficient is 0 one
B) If the value correlation
coefficient is 0.2
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
18) Two variables X and Y are not linearly correlated
A) If the value correlation
coefficient is 0 one
B) If the value correlation
coefficient is 0.2
C) If the value correlation
coefficient is ±1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
18) Two variables X and Y are not linearly correlated
A) If the value correlation
coefficient is 0 one
B) If the value correlation
coefficient is 0.2
C) If the value correlation
coefficient is ±1
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
18) Two variables X and Y are not linearly correlated
A) If the value correlation
coefficient is 0 one
B) If the value correlation
coefficient is 0.2
C) If the value correlation
coefficient is ±1
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
19) In a scatter diagram, all the points are at random linearly
correlated
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
19) In a scatter diagram, all the points are at random linearly
correlated
A) Perfect positive correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
19) In a scatter diagram, all the points are at random linearly
correlated
A) Perfect positive correlation
B) Perfect negative correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
19) In a scatter diagram, all the points are at random linearly
correlated
A) Perfect positive correlation
B) Perfect negative correlation
C) No correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
19) In a scatter diagram, all the points are at random linearly
correlated
A) Perfect positive correlation
B) Perfect negative correlation
C) No correlation
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
19) In a scatter diagram, all the points are at random linearly
correlated
A) Perfect positive correlation
B) Perfect negative correlation
C) No correlation
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
20) In a scatter diagram, all the points lie on horizotal line
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
20) In a scatter diagram, all the points lie on horizotal line
A) Perfect positive correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
20) In a scatter diagram, all the points lie on horizotal line
A) Perfect positive correlation
B) Perfect negative correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
20) In a scatter diagram, all the points lie on horizotal line
A) Perfect positive correlation
B) Perfect negative correlation
C) No correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
20) In a scatter diagram, all the points lie on horizotal line
A) Perfect positive correlation
B) Perfect negative correlation
C) No correlation
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
20) In a scatter diagram, all the points lie on horizotal line
A) Perfect positive correlation
B) Perfect negative correlation
C) No correlation
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
21) If two variables X and Y are independent of each other then
they have
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
21) If two variables X and Y are independent of each other then
they have
A) Perfect positive correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
21) If two variables X and Y are independent of each other then
they have
A) Perfect positive correlation
B) Perfect negative correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
21) If two variables X and Y are independent of each other then
they have
A) Perfect positive correlation
B) Perfect negative correlation
C) No correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
21) If two variables X and Y are independent of each other then
they have
A) Perfect positive correlation
B) Perfect negative correlation
C) No correlation
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
21) If two variables X and Y are independent of each other then
they have
A) Perfect positive correlation
B) Perfect negative correlation
C) No correlation
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
22) The correlation coefficient r = ±1.23 will be
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
22) The correlation coefficient r = ±1.23 will be
A) Possible
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
22) The correlation coefficient r = ±1.23 will be
A) Possible
B) Some times possible
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
22) The correlation coefficient r = ±1.23 will be
A) Possible
B) Some times possible
C) Not possible
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
22) The correlation coefficient r = ±1.23 will be
A) Possible
B) Some times possible
C) Not possible
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
22) The correlation coefficient r = ±1.23 will be
A) Possible
B) Some times possible
C) Not possible
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
23) The coefficient of correlation will have value zero then
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
23) The coefficient of correlation will have value zero then
A) X increasing and Y also
increasing
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
23) The coefficient of correlation will have value zero then
A) X increasing and Y also
increasing
B) X decresing and Y also
decresing
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
23) The coefficient of correlation will have value zero then
A) X increasing and Y also
increasing
B) X decresing and Y also
decresing
C) X and Y be have randomly
Correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
23) The coefficient of correlation will have value zero then
A) X increasing and Y also
increasing
B) X decresing and Y also
decresing
C) X and Y be have randomly
Correlation
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
23) The coefficient of correlation will have value zero then
A) X increasing and Y also
increasing
B) X decresing and Y also
decresing
C) X and Y be have randomly
Correlation
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
24) If the value of coefficient of correlation coefficient is nearer to
zero then the two variables under study have
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
24) If the value of coefficient of correlation coefficient is nearer to
zero then the two variables under study have
A) Correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
24) If the value of coefficient of correlation coefficient is nearer to
zero then the two variables under study have
A) Correlation
B) No correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
24) If the value of coefficient of correlation coefficient is nearer to
zero then the two variables under study have
A) Correlation
B) No correlation
C) Correlation of lower degree
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
24) If the value of coefficient of correlation coefficient is nearer to
zero then the two variables under study have
A) Correlation
B) No correlation
C) Correlation of lower degree
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
24) If the value of coefficient of correlation coefficient is nearer to
zero then the two variables under study have
A) Correlation
B) No correlation
C) Correlation of lower degree
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
25) The value of coefficient of correlation can be positive, negative
and zero is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
25) The value of coefficient of correlation can be positive, negative
and zero is
A) Possible
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
25) The value of coefficient of correlation can be positive, negative
and zero is
A) Possible
B) Not possible
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
25) The value of coefficient of correlation can be positive, negative
and zero is
A) Possible
B) Not possible
C) Partially possible
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
25) The value of coefficient of correlation can be positive, negative
and zero is
A) Possible
B) Not possible
C) Partially possible
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
25) The value of coefficient of correlation can be positive, negative
and zero is
A) Possible
B) Not possible
C) Partially possible
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
26) A measure of the linear relationship between two variables is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
26) A measure of the linear relationship between two variables is
A) correlation coefficient
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
26) A measure of the linear relationship between two variables is
A) correlation coefficient
B) regression coefficient
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
26) A measure of the linear relationship between two variables is
A) correlation coefficient
B) regression coefficient
C) both I and II
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
26) A measure of the linear relationship between two variables is
A) correlation coefficient
B) regression coefficient
C) both I and II
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
26) A measure of the linear relationship between two variables is
A) correlation coefficient
B) regression coefficient
C) both I and II
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
27) The correlation measures the strength and direction of the
linear relationship between two variables
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
27) The correlation measures the strength and direction of the
linear relationship between two variables
A) Totally True
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
27) The correlation measures the strength and direction of the
linear relationship between two variables
A) Totally True
B) Totally False
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
27) The correlation measures the strength and direction of the
linear relationship between two variables
A) Totally True
B) Totally False
C) Partially true
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
27) The correlation measures the strength and direction of the
linear relationship between two variables
A) Totally True
B) Totally False
C) Partially true
D) Partially False
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
27) The correlation measures the strength and direction of the
linear relationship between two variables
A) Totally True
B) Totally False
C) Partially true
D) Partially False
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
28) Regression means
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
28) Regression means
A) A method of estimating the value of one variable when other is
known
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
28) Regression means
A) A method of estimating the value of one variable when other is
known
B) A method of estimating the value of one variable when other is
unknown
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
28) Regression means
A) A method of estimating the value of one variable when other is
known
B) A method of estimating the value of one variable when other is
unknown
C) First two options are true
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
28) Regression means
A) A method of estimating the value of one variable when other is
known
B) A method of estimating the value of one variable when other is
unknown
C) First two options are true
D) Partially False
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
28) Regression means
A) A method of estimating the value of one variable when other is
known
B) A method of estimating the value of one variable when other is
unknown
C) First two options are true
D) Partially False
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
29) The law y = ax 2 + bx converted to linear form as
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
29) The law y = ax 2 + bx converted to linear form as
A) Y = ax + b where Y = x y
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
29) The law y = ax 2 + bx converted to linear form as
A) Y = ax + b where Y = x y
B) Y = aX + b where Y = log y, X = log x
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
29) The law y = ax 2 + bx converted to linear form as
A) Y = ax + b where Y = x y
B) Y = aX + b where Y = log y, X = log x
C) Y = ax + b where Y = y x
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
29) The law y = ax 2 + bx converted to linear form as
A) Y = ax + b where Y = x y
B) Y = aX + b where Y = log y, X = log x
C) Y = ax + b where Y = y x
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
29) The law y = ax 2 + bx converted to linear form as
A) Y = ax + b where Y = x y
B) Y = aX + b where Y = log y, X = log x
C) Y = ax + b where Y = y x
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
30) The principal of least squares state that
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
30) The principal of least squares state that
A) The sum of square of all
points from curve is
minimum
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
30) The principal of least squares state that
A) The sum of square of all
points from curve is
minimum
B) The sum of square of all
points from curve is
maximum
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
30) The principal of least squares state that
A) The sum of square of all
points from curve is
minimum
B) The sum of square of all
points from curve is
maximum
C) The sum of square root of
all points from curve is
minimum
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
30) The principal of least squares state that
A) The sum of square of all
points from curve is
minimum
B) The sum of square of all
points from curve is
maximum
C) The sum of square root of
all points from curve is
minimum
D) The sum of square root of
all points from curve is
maximum
Mr. S.S. Salgare Department of Mathematics
make a LaTeX presentaion using beamer
M.C.Q. on Curve Fitting
30) The principal of least squares state that
A) The sum of square of all
points from curve is
minimum
B) The sum of square of all
points from curve is
maximum
C) The sum of square root of
all points from curve is
minimum
D) The sum of square root of
all points from curve is
maximum
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
31) To fit the straight line y = mx + c to n observations, the
normal equations are
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
31) To fit the straight line y = mx + c to n observations, the
normal equations are
A) ∑ y = n ∑ x + ∑ cm
∑ xy = c
∑ x 2 + c ∑ x
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
31) To fit the straight line y = mx + c to n observations, the
normal equations are
A) ∑ y = n ∑ x + ∑ cm
∑ xy = c
∑ x 2 + c ∑ x
B) ∑ y = m ∑ x + nc
∑ xy = m
∑ x 2 + c ∑ x
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
31) To fit the straight line y = mx + c to n observations, the
normal equations are
A) ∑ y = n ∑ x + ∑ cm
∑ xy = c
∑ x 2 + c ∑ x
B) ∑ y = m ∑ x + nc
∑ xy = m
∑ x 2 + c ∑ x
C) ∑ y = c ∑ x + m ∑ n
∑ xy = c
∑ x 2 + m ∑ x
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
31) To fit the straight line y = mx + c to n observations, the
normal equations are
A) ∑ y = n ∑ x + ∑ cm
∑ xy = c
∑ x 2 + c ∑ x
B) ∑ y = m ∑ x + nc
∑ xy = m
∑ x 2 + c ∑ x
C) ∑ y = c ∑ x + m ∑ n
∑ xy = c
∑ x 2 + m ∑ x
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
31) To fit the straight line y = mx + c to n observations, the
normal equations are
A) ∑ y = n ∑ x + ∑ cm
∑ xy = c
∑ x 2 + c ∑ x
B) ∑ y = m ∑ x + nc
∑ xy = m
∑ x 2 + c ∑ x
C) ∑ y = c ∑ x + m ∑ n
∑ xy = c
∑ x 2 + m ∑ x
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
32) To fit y = ab x by least squares method, normal equations are:
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
32) To fit y = ab x by least squares method, normal equations are:
A) ∑ Y = nA + B ∑ x
∑ xY = A
∑ x + B
∑ x 2 ,
Y = log y, A =
log a, B log b
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
32) To fit y = ab x by least squares method, normal equations are:
A) ∑ Y = nA + B ∑ x
∑ xY = A
∑ x + B
∑ x 2 ,
log a, B log b
Y = log y, A =
log a, B log b
B) ∑ Y = nB + A ∑ x
∑ xY = B
∑ x + A
∑ x 2 ,
Y = log y, A =
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
32) To fit y = ab x by least squares method, normal equations are:
A) ∑ Y = nA + B ∑ ∑ ∑
x
∑ xY = A x + B x 2 ,
Y = log y, A =
log a, B log b
B) ∑ Y = nB + A ∑ ∑ ∑
x
∑ xY = B x + A x 2 ,
Y = log y, A =
log a, B log b
C) ∑ Y = nA + B ∑ x 2
∑ xY = A
∑ x + B
∑ x 2 ,
where Y = log y, A =
log a, B log b
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
32) To fit y = ab x by least squares method, normal equations are:
A) ∑ Y = nA + B ∑ ∑ ∑
x
∑ xY = A x + B x 2 ,
Y = log y, A =
log a, B log b
B) ∑ Y = nB + A ∑ ∑ ∑
x
∑ xY = B x + A x 2 ,
Y = log y, A =
log a, B log b
C) ∑ Y = nA + B ∑ x 2
∑ xY = A
∑ x + B
∑ x 2 ,
where Y = log y, A =
log a, B log b
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
32) To fit y = ab x by least squares method, normal equations are:
A) ∑ Y = nA + B ∑ ∑ ∑
x
∑ xY = A x + B x 2 ,
Y = log y, A =
log a, B log b
B) ∑ Y = nB + A ∑ ∑ ∑
x
∑ xY = B x + A x 2 ,
Y = log y, A =
log a, B log b
C) ∑ Y = nA + B ∑ x 2
∑ xY = A
∑ x + B
∑ x 2 ,
where Y = log y, A =
log a, B log b
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
33) Given
x 0 1 2
y 0 1.1 2.1
then the straight line of best fit y = a + bx then a = · · · and
b = · · ·
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
33) Given
x 0 1 2
y 0 1.1 2.1
then the straight line of best fit y = a + bx then a = · · · and
b = · · ·
A) a = 1.0167, b = 0.05
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
33) Given
x 0 1 2
y 0 1.1 2.1
then the straight line of best fit y = a + bx then a = · · · and
b = · · ·
A) a = 1.0167, b = 0.05
B) a = 0.0167, b = 1.05
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
33) Given
x 0 1 2
y 0 1.1 2.1
then the straight line of best fit y = a + bx then a = · · · and
b = · · ·
A) a = 1.0167, b = 0.05
B) a = 0.0167, b = 1.05
C) a = 0.0167, b = 0.05
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
33) Given
x 0 1 2
y 0 1.1 2.1
then the straight line of best fit y = a + bx then a = · · · and
b = · · ·
A) a = 1.0167, b = 0.05
B) a = 0.0167, b = 1.05
C) a = 0.0167, b = 0.05
D) a = 1.0167, b = 1.05
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
33) Given
x 0 1 2
y 0 1.1 2.1
then the straight line of best fit y = a + bx then a = · · · and
b = · · ·
A) a = 1.0167, b = 0.05
B) a = 0.0167, b = 1.05
C) a = 0.0167, b = 0.05
D) a = 1.0167, b = 1.05
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
34) If r = 1, the regression coefficeents are:
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
34) If r = 1, the regression coefficeents are:
A) 1, 1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
34) If r = 1, the regression coefficeents are:
A) 1, 1
B) −1, −1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
34) If r = 1, the regression coefficeents are:
A) 1, 1
B) −1, −1
C) 1, 1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
34) If r = 1, the regression coefficeents are:
A) 1, 1
B) −1, −1
C) 1, 1
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
34) If r = 1, the regression coefficeents are:
A) 1, 1
B) −1, −1
C) 1, 1
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
35) The equations of regression line are y = 0.5x + a and
x = 0.4y + b then the correlation coefficient is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
35) The equations of regression line are y = 0.5x + a and
x = 0.4y + b then the correlation coefficient is
A) √ 0.2
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
35) The equations of regression line are y = 0.5x + a and
x = 0.4y + b then the correlation coefficient is
A) √ 0.2
B) 0.45
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
35) The equations of regression line are y = 0.5x + a and
x = 0.4y + b then the correlation coefficient is
A) √ 0.2
B) 0.45
C) − √ 0.2
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
35) The equations of regression line are y = 0.5x + a and
x = 0.4y + b then the correlation coefficient is
A) √ 0.2
B) 0.45
C) − √ 0.2
D) 0.63
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
35) The equations of regression line are y = 0.5x + a and
x = 0.4y + b then the correlation coefficient is
A) √ 0.2
B) 0.45
C) − √ 0.2
D) 0.63
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
36) If the correlation coefficient is zero, the two regression lines are
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
36) If the correlation coefficient is zero, the two regression lines are
A) Parallel
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
36) If the correlation coefficient is zero, the two regression lines are
A) Parallel
B) Perpendicular
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
36) If the correlation coefficient is zero, the two regression lines are
A) Parallel
B) Perpendicular
C) coincident
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
36) If the correlation coefficient is zero, the two regression lines are
A) Parallel
B) Perpendicular
C) coincident
D) inclined at 45 0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
36) If the correlation coefficient is zero, the two regression lines are
A) Parallel
B) Perpendicular
C) coincident
D) inclined at 45 0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
37) Ifr 1 and r 2 are two regression coefficients, then sign of r 1 and
r 2 depends on
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
37) Ifr 1 and r 2 are two regression coefficients, then sign of r 1 and
r 2 depends on
A) Lines of regression
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
37) Ifr 1 and r 2 are two regression coefficients, then sign of r 1 and
r 2 depends on
A) Lines of regression
B) correlation coefficient
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
37) Ifr 1 and r 2 are two regression coefficients, then sign of r 1 and
r 2 depends on
A) Lines of regression
B) correlation coefficient
C) coincident lines
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
37) Ifr 1 and r 2 are two regression coefficients, then sign of r 1 and
r 2 depends on
A) Lines of regression
B) correlation coefficient
C) coincident lines
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
37) Ifr 1 and r 2 are two regression coefficients, then sign of r 1 and
r 2 depends on
A) Lines of regression
B) correlation coefficient
C) coincident lines
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
38) If y = x + 1 and x = 3y − 7 are the two lines of regression the
values of ¯x, ȳ, r is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
38) If y = x + 1 and x = 3y − 7 are the two lines of regression the
values of ¯x, ȳ, r is
A) 2. 3, 3
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
38) If y = x + 1 and x = 3y − 7 are the two lines of regression the
values of ¯x, ȳ, r is
A) 2. 3, 3
B) 2, 3, 1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
38) If y = x + 1 and x = 3y − 7 are the two lines of regression the
values of ¯x, ȳ, r is
A) 2. 3, 3
B) 2, 3, 1
C) 2, 3, √ 3
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
38) If y = x + 1 and x = 3y − 7 are the two lines of regression the
values of ¯x, ȳ, r is
A) 2. 3, 3
B) 2, 3, 1
C) 2, 3, √ 3
D) √ 3, 3, √ 3
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
38) If y = x + 1 and x = 3y − 7 are the two lines of regression the
values of ¯x, ȳ, r is
A) 2. 3, 3
B) 2, 3, 1
C) 2, 3, √ 3
D) √ 3, 3, √ 3
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
39) If the regression lines are perpendicular to each other, the
value of coefficient of correlation is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
39) If the regression lines are perpendicular to each other, the
value of coefficient of correlation is
A) 0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
39) If the regression lines are perpendicular to each other, the
value of coefficient of correlation is
A) 0
B) 1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
39) If the regression lines are perpendicular to each other, the
value of coefficient of correlation is
A) 0
B) 1
C) -1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
39) If the regression lines are perpendicular to each other, the
value of coefficient of correlation is
A) 0
B) 1
C) -1
D) 0.56
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
39) If the regression lines are perpendicular to each other, the
value of coefficient of correlation is
A) 0
B) 1
C) -1
D) 0.56
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
40) The minimum value of correlation coefficient is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
40) The minimum value of correlation coefficient is
A) 0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
40) The minimum value of correlation coefficient is
A) 0
B) 1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
40) The minimum value of correlation coefficient is
A) 0
B) 1
C) -1
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
40) The minimum value of correlation coefficient is
A) 0
B) 1
C) -1
D) 0.56
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
40) The minimum value of correlation coefficient is
A) 0
B) 1
C) -1
D) 0.56
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
41) The point of intersection of the two regression lines is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
41) The point of intersection of the two regression lines is
A) (¯x, 0)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
41) The point of intersection of the two regression lines is
A) (¯x, 0)
B) (0, ȳ)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
41) The point of intersection of the two regression lines is
A) (¯x, 0)
B) (0, ȳ)
C) (0, 0)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
41) The point of intersection of the two regression lines is
A) (¯x, 0)
B) (0, ȳ)
C) (0, 0)
D) (¯x, ȳ)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
41) The point of intersection of the two regression lines is
A) (¯x, 0)
B) (0, ȳ)
C) (0, 0)
D) (¯x, ȳ)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
42) The equation of the line of regression of y on x is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
42) The equation of the line of regression of y on x is
A) (y − ȳ) = b xy (x − ¯x)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
42) The equation of the line of regression of y on x is
A) (y − ȳ) = b xy (x − ¯x)
B) (ȳ − y) = b yx (¯x − x)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
42) The equation of the line of regression of y on x is
A) (y − ȳ) = b xy (x − ¯x)
B) (ȳ − y) = b yx (¯x − x)
C) (x − ¯x) = b xy (y − ȳ)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
42) The equation of the line of regression of y on x is
A) (y − ȳ) = b xy (x − ¯x)
B) (ȳ − y) = b yx (¯x − x)
C) (x − ¯x) = b xy (y − ȳ)
D) (x − ¯x) = b yx (y − ȳ)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
42) The equation of the line of regression of y on x is
A) (y − ȳ) = b xy (x − ¯x)
B) (ȳ − y) = b yx (¯x − x)
C) (x − ¯x) = b xy (y − ȳ)
D) (x − ¯x) = b yx (y − ȳ)
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
43) Correlation coefficient is · · · mean between regression
coefficient
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
43) Correlation coefficient is · · · mean between regression
coefficient
A) Arithmetic
A.M.= x 1 + x 2 + · · · + x n
n
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
43) Correlation coefficient is · · · mean between regression
coefficient
A) Arithmetic
A.M.= x 1 + x 2 + · · · + x n
n
B) Harmonic
n
H,M.=
1
x 1
+ 1 x 2
+ · · · + 1 x n
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
43) Correlation coefficient is · · · mean between regression
coefficient
A) Arithmetic
A.M.= x 1 + x 2 + · · · + x n
n
B) Harmonic
n
H,M.=
1
x 1
+ 1 x 2
+ · · · + 1 x n
C) Geometric
G.M.=(x 1 .x 2 . · · · x n ) 1 n
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
43) Correlation coefficient is · · · mean between regression
coefficient
A) Arithmetic
A.M.= x 1 + x 2 + · · · + x n
n
B) Harmonic
n
H,M.=
1
x 1
+ 1 x 2
+ · · · + 1 x n
C) Geometric
G.M.=(x 1 .x 2 . · · · x n ) 1 n
D) None of These
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
43) Correlation coefficient is · · · mean between regression
coefficient
A) Arithmetic
A.M.= x 1 + x 2 + · · · + x n
n
B) Harmonic
n
H,M.=
1
x 1
+ 1 x 2
+ · · · + 1 x n
C) Geometric
G.M.=(x 1 .x 2 . · · · x n ) 1 n
D) None of These
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
44) When the variables are independent the two lines of regression
are
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
44) When the variables are independent the two lines of regression
are
A) parallel
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
44) When the variables are independent the two lines of regression
are
A) parallel
B) Perpendicular
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
44) When the variables are independent the two lines of regression
are
A) parallel
B) Perpendicular
C) coincident
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
44) When the variables are independent the two lines of regression
are
A) parallel
B) Perpendicular
C) coincident
D) inclined at 45 0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
44) When the variables are independent the two lines of regression
are
A) parallel
B) Perpendicular
C) coincident
D) inclined at 45 0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
45) Arithmetic mean of the coefficient of regressions . . . than the
coefficient of correlation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
45) Arithmetic mean of the coefficient of regressions . . . than the
coefficient of correlation
A) Grater
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
45) Arithmetic mean of the coefficient of regressions . . . than the
coefficient of correlation
A) Grater
B) Less
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
45) Arithmetic mean of the coefficient of regressions . . . than the
coefficient of correlation
A) Grater
B) Less
C) Equal
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
45) Arithmetic mean of the coefficient of regressions . . . than the
coefficient of correlation
A) Grater
B) Less
C) Equal
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
45) Arithmetic mean of the coefficient of regressions . . . than the
coefficient of correlation
A) Grater
B) Less
C) Equal
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
46) If one of the regression coefficient is greater than unity, then
other must be
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
46) If one of the regression coefficient is greater than unity, then
other must be
A) Equal to unity
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
46) If one of the regression coefficient is greater than unity, then
other must be
A) Equal to unity
B) Grater then unity
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
46) If one of the regression coefficient is greater than unity, then
other must be
A) Equal to unity
B) Grater then unity
C) less then unity
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
46) If one of the regression coefficient is greater than unity, then
other must be
A) Equal to unity
B) Grater then unity
C) less then unity
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
46) If one of the regression coefficient is greater than unity, then
other must be
A) Equal to unity
B) Grater then unity
C) less then unity
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
47) The correlation between volume and pressure of the perfect
gas is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
47) The correlation between volume and pressure of the perfect
gas is
A) Positive
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
47) The correlation between volume and pressure of the perfect
gas is
A) Positive
B) Negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
47) The correlation between volume and pressure of the perfect
gas is
A) Positive
B) Negative
C) 0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
47) The correlation between volume and pressure of the perfect
gas is
A) Positive
B) Negative
C) 0
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
47) The correlation between volume and pressure of the perfect
gas is
A) Positive
B) Negative
C) 0
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
48) The correlation between income and expenditure is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
48) The correlation between income and expenditure is
A) Positive
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
48) The correlation between income and expenditure is
A) Positive
B) Negative
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
48) The correlation between income and expenditure is
A) Positive
B) Negative
C) 0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
48) The correlation between income and expenditure is
A) Positive
B) Negative
C) 0
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
48) The correlation between income and expenditure is
A) Positive
B) Negative
C) 0
D) None of these
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
49) Which of the following indicates a strong positive correlation?
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
49) Which of the following indicates a strong positive correlation?
A) r = 0
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
49) Which of the following indicates a strong positive correlation?
A) r = 0
B) r = −0.793
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
49) Which of the following indicates a strong positive correlation?
A) r = 0
B) r = −0.793
C) r = 0.913
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
49) Which of the following indicates a strong positive correlation?
A) r = 0
B) r = −0.793
C) r = 0.913
D) r = 0.45
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
49) Which of the following indicates a strong positive correlation?
A) r = 0
B) r = −0.793
C) r = 0.913
D) r = 0.45
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
50) If two regression coefficient are -0.1 and -0.9, the value of r is
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
50) If two regression coefficient are -0.1 and -0.9, the value of r is
A) 0.3
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
50) If two regression coefficient are -0.1 and -0.9, the value of r is
A) 0.3
B) -0.3
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
50) If two regression coefficient are -0.1 and -0.9, the value of r is
A) 0.3
B) -0.3
C) 0.5
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
50) If two regression coefficient are -0.1 and -0.9, the value of r is
A) 0.3
B) -0.3
C) 0.5
D) 0.5
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
50) If two regression coefficient are -0.1 and -0.9, the value of r is
A) 0.3
B) -0.3
C) 0.5
D) 0.5
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
51) Which method gives a unique set of values to the constants in
the equation of the fitting curves?
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
51) Which method gives a unique set of values to the constants in
the equation of the fitting curves?
A) Horners method
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
51) Which method gives a unique set of values to the constants in
the equation of the fitting curves?
A) Horners method
B) Method of least squares
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
51) Which method gives a unique set of values to the constants in
the equation of the fitting curves?
A) Horners method
B) Method of least squares
C) Interpolation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
51) Which method gives a unique set of values to the constants in
the equation of the fitting curves?
A) Horners method
B) Method of least squares
C) Interpolation
D) Newtons Method
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
51) Which method gives a unique set of values to the constants in
the equation of the fitting curves?
A) Horners method
B) Method of least squares
C) Interpolation
D) Newtons Method
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
52) The line obtained by the method of least square is known as
the line of . . .
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
52) The line obtained by the method of least square is known as
the line of . . .
A) straight line
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
52) The line obtained by the method of least square is known as
the line of . . .
A) straight line
B) Interpolation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
52) The line obtained by the method of least square is known as
the line of . . .
A) straight line
B) Interpolation
C) best fit
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
52) The line obtained by the method of least square is known as
the line of . . .
A) straight line
B) Interpolation
C) best fit
D) polynomial equation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
52) The line obtained by the method of least square is known as
the line of . . .
A) straight line
B) Interpolation
C) best fit
D) polynomial equation
Mr. S.S. Salgare Department of Mathematics
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M.C.Q. on Curve Fitting
Thank You !
Mr. S.S. Salgare Department of Mathematics
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