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VARIABLE SELECTION TECHNIQUES
APPENDIX A SMSAs in DATA SETB 1
15 predictor variables acceptable fit ANOVA table Appendix appropriate assumed model backward elimination beta weights Calculate California SMSAs Chapter coefficient of determination conclusions confidence intervals Cook's distance Data Set A.8 DataSet B.2 estimated coefficients F statistics forward selection given in eqn HC and NOX HOME identified indicator variable INDUS and METAL interval estimates land use variables least squares estimates Mortality and Pollution mortality rates observations original 15 predictor outliers pairwise correlations partial residual plots plot of WASTE Pollution Study prediction equation prediction interval previous exercise principal component regions regression analysis Repeat Exercise residual statistics response variable RETAIL and MISC ridge estimates ridge trace roots and latent scatterplots Section selection and backward single-variable regression model smallest latent roots Solid Waste Analysis solid waste production SQRTME standardized coefficient standardized estimates strong multicollinearities studentized residuals subsets suggest Theoretical tion TOTAL values variable selection variance inflation factors vectors of W’W