Applied regression analysisWiley, 1966 - 407 pages |
Contents
CHAPTER PAGE | 1 |
THE MATRIX APPROACH TO LINEAR REGRESSION | 44 |
THE EXAMINATION OF RESIDUALS | 86 |
Copyright | |
12 other sections not shown
Common terms and phrases
analysis of variance ANOVA Source df b₁ B₁X b₂ calculations Chapter Coefficients and Confidence column confidence interval Confidence Limits Constant Term correlation matrix Decoded B Coefficient degrees of freedom deviation of residuals estimate of o² estimation space example F value Figure fitted equation freedom Determinant value given independent variables lack of fit least squares estimate linear regression method nonlinear normal equations Observed Y Predicted obtained orthogonal orthogonal polynomials Overall F Total parameters Partial Correlation Coefficients plot polynomials Predicted Y Residual prediction equation procedure pure error regression analysis regression equation Residual Analysis Residual Normal Deviate response mean Degrees response Std Response variable shown Source df SS Source of Variation Square of Partials SS MS F ẞ₁ ẞo Standard deviation sum of squares Term in Prediction Total corrected transformations variance table vector X₁ Y₁ Y₂ Z₁ zero σ²