Graphical Displays for Alternate Regression Fits
Regression is probably the single most widely used technique of data analysis. Multiple linear regression, where y is fitted by Σc j x j , is its most widely used special case. Techniques of robust regression, where fitting is to be effective in a more or less wide variety of uncomfortable circumstances, including the too-frequent occurence of large deviations, have been explored over the last few decades. Attention may also be needed to: (a) variability that depends systematically upon y and the x’s; (b) re-expression (transformation) of either y or one or more x’s; (c) data that can be divided into two or more portions, each of which can be much better fitted separately than together.
KeywordsCovariance Resid Haas
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