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Regression Basics, by Leo H. Kahane
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Using a friendly, nontechnical approach, the Second Edition of Regression Basics introduces readers to the fundamentals of regression. Accessible to anyone with an introductory statistics background, this book builds from a simple two-variable model to a model of greater complexity. Author Leo H. Kahane weaves four engaging examples throughout the text to illustrate not only the techniques of regression but also how this empirical tool can be applied in creative ways to consider a broad array of topics.
New to the Second Edition
• Offers greater coverage of simple panel-data estimation: Because the availability of panel data has increased over the past decade, this new edition includes coverage of estimation with multiple cross-sections of data across time.
• Provides an introductory discussion of omitted variables bias: As a problem that frequently arises, this issue is important for those new to regression analysis to understand.
• Includes up-to-date advances: Chapter 7 is expanded to include recent developments in regression.
• Uses a diverse selection of examples: Engaging examples illustrate the wide application of regression analysis from baseball salaries to presidential voting to British crime rates to U.S. abortion rates and more.
• Includes more end-of-chapter problems: This edition offers new questions at the end of chapters that are based on the new examples woven through the book.
• Illustrates examples using software programs: Appendix B now includes screenshots to further aid readers working with Microsoft Excel� and SPSS.
Intended Audience
This is an ideal core or supplemental text for advanced undergraduate and graduate courses such as Regression and Correlation, Sociological Research Methods, Quantitative Research Methods, and Statistical Methods in the fields of economics, public policy, political science, sociology, public affairs, urban planning, education, and geography.
- Sales Rank: #1137193 in Books
- Brand: Brand: SAGE Publications, Inc
- Published on: 2007-11-28
- Original language: English
- Number of items: 1
- Dimensions: 8.94" h x .54" w x 6.16" l, .70 pounds
- Binding: Paperback
- 240 pages
- Used Book in Good Condition
Review
"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)". . . 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)"Kahane is to be congratulated for compressing such comprehensive�coverage into so few pages." (THE STATISTICIAN)
About the Author
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.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Does an okay job
By BookMan
This book was recommended as a supplement to the primary (and completely useless) text assigned for a course on statistics that I just endured. While Regression Basics is not a big book, the examples are presented well and it does a good job explaining the concepts it covers. Had this book been used as the primary text my course, I would have been much happier. In rating this book, I hesitated between giving it 3 or 4 stars: I decided that 3 stars is sufficient - while the book does do a good job of explaining some things, I still had to refer to other sources to gain a full understanding of the material.
2 of 2 people found the following review helpful.
Learn regression analysis the easy way
By Fred Rispoli
Regression Basics by Leo Kahane is a well written introduction to regression anlysis. The book is easy to read and can be used by any student or researcher who has successfully completed an introductory statistics course. I found the four examples referred to throughout the book diverse and entertaining. I especially like the chapter explaining model performance and evaluation which describes the regression statistics given by most statistics software. The book is ideal for say a 1-credit independent study course, a supplement for a course in Regression and Correlation, or perhaps a supplement for a Statistical Methods course. Another plus is that the book contains exercises and the data sets used in the examples are also given in the appendix.
2 of 2 people found the following review helpful.
Not so good for an Econometrics newbie
By A. J. Greep
I bought this book as a supplement to my primary Econometrics text book last semester, and I'm glad it was just a supplement. Very brief and rather dry, this book lays out the basics of the discipline, but does it entirely too quickly for a beginner. For a more advanced Econometrics student it may be enough, and it will certainly be a useful resource to check back on as my studies progress; I just wish it had been more thorough for my current purposes.
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