240 Pages

Leo H. Kahane Providence College, USA

Paperback 11-28-2007 ISBN: 9781412951265 $63.00

Using a friendly, nontechnical approach, the Second Edition of Regression Basics introduces readers to thefundamentals of regression. Accessible to anyone with an introductory statistics background, this book builds from a simpletwo-variable model to a model of greater complexity. Author Leo H. Kahane weaves four engaging examples throughoutthe text to illustrate not only the techniques of regression but also how this empirical tool can be applied in creative ways toconsider 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 thepast 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 importantfor 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 frombaseball 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 thenew examples woven through the book.

• Illustrates examples using software programs: Appendix B now includes screenshots to further aid readers working withMicrosoft Excel® and SPSS.

Intended Audience

This is an ideal core or supplemental text for advanced undergraduate and graduate courses such as Regression andCorrelation, Sociological Research Methods, Quantitative Research Methods, and Statistical Methods in the fields ofeconomics, public policy, political science, sociology, public affairs, urban planning, education, and geography.

TABLE OF CONTENTS

Preface1. An Introduction to the Linear Regression Model

Regression BasicsSecond Edition

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2. The Least-Squares Estimation Method: Fitting Lines to Data3. Model Performance And Evaluation4. Multiple Regression Analysis5. Non-Linear and Logarithmic Models, Dummy and Interaction6. Time Variables and Panel Data: A Simple Introduction7. Some Common Problems In Regression Analysis8. Where To Go From Here

Appendix A: Data Sets Used In ExamplesAppendix B: Instructions for Using Excel and SPSSAppendix C: t TableAppendix D: Answers To ProblemsGlossaryReferences

Regression BasicsSecond Edition

For more information about this title, please visit sagepub.com

To order, create a SAGE account at sagepub.com/myaccount, or contact Customer Service at (800) 818-7243 or (805) 499-9774.

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