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Inhaltsangabe
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.
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Über die Autorin bzw. den Autor
Leo Kahane is a Professor of Economics at California State University, East Bay. He earned his B.A. degree in Economics from the University of California, Berkeley and his Ph.D. in Economics from Columbia University. He has authored numerous book chapters and published articles in economics journals. He is also the founder and editor of the Journal of Sports Economics. He and his wife Cathy live in Oakland, California with their two sons, Jacob and Matthew Zoe.
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Regression Basics
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Regression Basics
Verlag:
Sage Pubns, Thousand Oaks, California, U.S.A., 2001
ISBN 10: 0761924132
ISBN 13: 9780761924135
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