Applied regression analysis and other multivariable methods. [Some multivariable examples -- Variable classification and the choice of analysis -- Basic statistics : a review -- Introduction to regression analysis -- Straight-line regression analysis -- THe correlation coefficient and its relationship to straight-line regression analysis -- The analysis of variance table and its relationship to regression analysis -- Comparing two straight-line regression models -- Polynomial regression -- Multiple regression analysis -- Correlations: Multiple, partial and multiple-partial -- Summary of methods for testing hypotheses in multiple regression -- Dummy variables in regression -- Analysis of covariance and other methods for adjusting continuous

[1st edition, 1st printing] ; xv, 556 pages : illustrations ; 25 cm ; ISBN: 0878721398; 9780878721399 LCCN: 77-22327 ; LC: QA278; Dewey: 519.5/3; NLM: QA 278.2 ; OCLC: 3072125 ; beige and brown boards ; no dustjacket ; Contents: Some multivariable examples -- Variable classification and the choice of analysis -- Basic statistics : a review -- Introduction to regression analysis -- Straight-line regression analysis -- THe correlation coefficient and its relationship to straight-line regression analysis -- The analysis of variance table and its relationship to regression analysis -- Comparing two straight-line regression models -- Polynomial regression -- Multiple regression analysis -- Correlations: Multiple, partial and multiple-partial -- Summary of methods for testing hypotheses in multiple regression -- Dummy variables in regression -- Analysis of covariance and other methods for adjusting continuous data -- Selecting the best regression equation -- Residual analysis, transformations and weighted least squares -- One-way analysis of variance -- Randomized blocks: special case of two-way anova -- Two-way anova with equal cell numbers -- Two-way anova with unequal cell numbers -- Factor analysis -- Two-group discriminant analysis -- Analysis of categorical data -- References -- Tables -- Matrices and their relationaship to regression analysis -- Solutions to exercises ; name on front endpaper ; VG. …