Applied regression analysis

analysis of variance ANOVA Source df b₁ B₁X b₂ calculations Chapter Coefficients and Confidence column Confidence Limits Constant term contours correlation matrix Decoded B Coefficient degrees of freedom deviation of residuals estimation space example F value Figure fitted equation follows freedom Determinant value given independent variables lack of fit least squares estimate linear regression method multiple regression nonlinear normal equations Observed Y Predicted obtained orthogonal polynomials Overall F Total parameters Partial Correlation Coefficients plot Predicted Y Residual prediction equation problem procedure pure error regression analysis regression equation Residual Analysis Residual Normal Deviate response mean Degrees Response variable sample space shown Source df SS Square of Partials SS MS F ẞ₁ ẞo Standard deviation Standard Error Statistical sum of squares Tableau term in prediction Total corrected transformations variance table vector X₁ X₂ Y₁ Y₂ Z₁ zero