Overview

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. Regression Basics equips readers with the knowledge and ability to perform and interpret the results of basic linear regression analysis by providing a friendly, non-technical introduction to the subject. Writing in a fun and engaging style, Leo Kahane begins with the simplest, two-variable linear model and gradually builds towards models of more complexity, such as multivariate regression. He uses three engaging examples to illustrate a 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; how to determine the factors that explain the difference in abortion rates across the US; The 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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9780761919582

Table of Contents

Reviews

Kahane is to be congratulated for compressing such comprehensive coverage into so few pages. -- THE STATISTICIAN . . . does a great job explaining technical concepts in a straightforward and non-technical manner. . . can give students from any discipline a head start to understanding the technical details of regression procedures . . . -- Jerry Welkenhuysen-Gybels Regression Basics fills an important place in the statistical textbook. . . it explains many complicated statistical concepts in a very straightforward and non-jargon-filled manner. A very refreshing and quite enjoyable read. -- Lynn Sorsoli This book makes a breakthrough in terms of teaching regression analysis through real world examples that progress in complexity. -- William C. Birdsall

Kahane is to be congratulated for compressing such comprehensive coverage into so few pages. -- THE STATISTICIAN . . . does a great job explaining technical concepts in a straightforward and non-technical manner. . . can give students from any discipline a head start to understanding the technical details of regression procedures . . . -- Jerry Welkenhuysen-Gybels Regression Basics fills an important place in the statistical textbook. . . it explains many complicated statistical concepts in a very straightforward and non-jargon-filled manner. A very refreshing and quite enjoyable read. -- Lynn Sorsoli This book makes a breakthrough in terms of teaching regression analysis through real world examples that progress in complexity. -- William C. Birdsall

This book makes a breakthrough in terms of teaching regression analysis through real world examples that progress in complexity. -- William C. Birdsall Regression Basics fills an important place in the statistical textbook... it explains many complicated statistical concepts in a very straightforward and non-jargon-filled manner. A very refreshing and quite enjoyable read. -- Lynn Sorsoli Kahane is to be congratulated for compressing such comprehensive coverage into so few pages. -- THE STATISTICIAN ... does a great job explaining technical concepts in a straightforward and non-technical manner... can give students from any discipline a head start to understanding the technical details of regression procedures ... -- Jerry Welkenhuysen-Gybels

Author Information

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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