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95 percent confidence appropriate approximate column conclusion confidence interval confidence limits Cook's distance correlation data set decision rule degrees of freedom denoted error sum error terms error variance estimated regression coefficients estimated regression function estimated standard deviation explanatory variables family confidence coefficient Figure fitted regression function fitted values follows Hence least squares estimates likelihood function linear regression function linear regression model logistic regression logistic regression model lowess maximum likelihood estimates mean response MINITAB multicollinearity nonlinear regression normal distribution normal probability plot observations ordinary least squares outlying P-value percent confidence interval prediction interval probability distribution Problem procedure random variables reduced model Refer regression analysis regression model 2.1 residual plot response function response variable sampling distribution scatter plot set in Appendix simple linear regression SSTO standard deviation subset sum of squares Table test statistic Toluca Company example transformed variance-covariance matrix vector weighted least squares