Multiple Linear Regression
Multiple Linear Regression
Multiple Linear Regression
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Here is an example of how it works, based on a question from R-help. We would like to fit amodel that looks like> set.seed(1)( ) 2 2πY = α + β sin360 x − γ + ɛ.> x y acc.nls summary(acc.nls)Formula: y ~ a + b * (sin((2 * pi * x/360) - c))^2Parameters:Estimate Std. Error t value Pr(>|t|)a 0.95884 0.23097 4.151 4.92e-05 ***b 2.22868 0.37114 6.005 9.07e-09 ***c 3.04343 0.08434 36.084 < 2e-16 ***---Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1Residual standard error: 1.865 on 197 degrees of freedomNumber of iterations to convergence: 3Achieved convergence tolerance: 6.554e-0831