xiii Note to the reader: This is a customized book for Old Dominion ...
xiii Note to the reader: This is a customized book for Old Dominion ...
xiii Note to the reader: This is a customized book for Old Dominion ...
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
REGRESSION 339Physical problemsChapter 06.00A Physical problem - general engineering 339Chapter 06.00B Physical problem - chemical engineeringChapter 06.00C Physical problem - civil engineering 343Chapter 06.00D Physical problem - computer engineeringChapter 06.00E Physical problem - electrical engineeringChapter 06.00F Physical problem - industrial engineeringChapter 06.00G Physical problem - mechanical engineering 346Chapter 06.01 Stat<strong>is</strong>tics background of regression analys<strong>is</strong> 351Review of stat<strong>is</strong>tical terminologies 351Elementary stat<strong>is</strong>tics 351A brief h<strong>is</strong><strong>to</strong>ry of regression 355Multiple-choice test 359Chapter 06.02 Introduction of regression analys<strong>is</strong> 359What <strong>is</strong> regression analys<strong>is</strong>? 359Compar<strong>is</strong>on of regression and correlation 360Uses of regression analys<strong>is</strong> 360Abuses of regression analys<strong>is</strong> 360Extrapolation 361Least squares methods 363Why minimize <strong>the</strong> sum of <strong>the</strong> square of <strong>the</strong> residuals? 363Multiple-choice testProblem set 365Chapter 06.03 Linear regression 366Why minimize <strong>the</strong> sum of <strong>the</strong> square of <strong>the</strong> residuals? 366Multiple-choice test 379Problem set 381Chapter 06.04 Nonlinear models <strong>for</strong> regression 383Nonlinear models using least squares 383Exponential model 383Growth model 387Polynomial models 389Linearization of data 393Exponential model 393Logarithmic functions 396Power functions 399Multiple-choice test 405Problem set 408Chapter 06.05 Adequacy of models <strong>for</strong> regression 411Quality of fitted model 411Plot <strong>the</strong> data and <strong>the</strong> regression model. 411Calculate <strong>the</strong> standard error of estimate. 412Calculate <strong>the</strong> coefficient of determination. 414xxi
Change language