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- catalog abstract "Although many people have PCs with software capable of performing regression techniques, only a few know how to capitalize on the flexibility and wide application of regression analysis. This book shows readers how to get the most from regression by providing a friendly, non-technical introduction to the subject. Accessible to anyone with only an introductory statistics background, the book begins with the simplest, two-variable linear model and gradually builds towards models of more complexity, such as multivariate regression. Kahane uses three engaging examples to illustrate regression concepts. These examples show the creative way in which regression analysis can be used to determine why some professional sports players earn higher salaries than others, the factors that affect voting patterns in presidential elections, and how to determine the factors that explain differences in abortion rates. Data for these examples are provided in an Appendix so that readers can have tangible, hands-on experience in performing linear regression analysis.".
- catalog contributor b12259793.
- catalog created "c2001.".
- catalog date "2001".
- catalog date "c2001.".
- catalog dateCopyrighted "c2001.".
- catalog description "Although many people have PCs with software capable of performing regression techniques, only a few know how to capitalize on the flexibility and wide application of regression analysis. This book shows readers how to get the most from regression by providing a friendly, non-technical introduction to the subject. Accessible to anyone with only an introductory statistics background, the book begins with the simplest, two-variable linear model and gradually builds towards models of more complexity, such as multivariate regression. Kahane uses three engaging examples to illustrate regression concepts. These examples show the creative way in which regression analysis can be used to determine why some professional sports players earn higher salaries than others, the factors that affect voting patterns in presidential elections, and how to determine the factors that explain differences in abortion rates. Data for these examples are provided in an Appendix so that readers can have tangible, hands-on experience in performing linear regression analysis.".
- catalog description "An Introduction to the Linear Regression Model -- The Least-Squares Estimation Method: Fitting Lines to Data -- Model Performance and Evaluation -- Multiple Regression Analysis -- Nonlinear, Dummy, Interaction, and Time Variables -- Some Common Problems in Regression Analysis -- Data Sets Used in Examples -- Instructions for Using Excel and SPSS.".
- catalog description "Includes bibliographical references (p. 197-198) and index.".
- catalog extent "xi, 202 p. :".
- catalog identifier "0761919589 (cloth : acid-free paper)".
- catalog identifier "0761924132 (pbk. : acid-free paper)".
- catalog issued "2001".
- catalog issued "c2001.".
- catalog language "eng".
- catalog publisher "Thousand Oaks, [Calif.] : Sage Publications,".
- catalog subject "519.5/36 21".
- catalog subject "QA 278.2 K12r 2001".
- catalog subject "QA278.2 .K34 2001".
- catalog subject "Regression Analysis.".
- catalog subject "Regression analysis.".
- catalog tableOfContents "An Introduction to the Linear Regression Model -- The Least-Squares Estimation Method: Fitting Lines to Data -- Model Performance and Evaluation -- Multiple Regression Analysis -- Nonlinear, Dummy, Interaction, and Time Variables -- Some Common Problems in Regression Analysis -- Data Sets Used in Examples -- Instructions for Using Excel and SPSS.".
- catalog title "Regression basics / Leo H. Kahane.".
- catalog type "text".