Regression basics

• Main Author: Kahane, Leo H. (Author)
• Format: Book
• Published: Los Angeles Sage Publications 2008
• Edition: Second Edition
• Subjects: Regression analysis
• Online Access: Click Here to View Status and Holdings.
• Physical Description: ix, 226 pages illustrations 23 cm
• Bibliography: Includes bibliographical references (page 220-221) and index
• ISBN: 9781412951265; 1412951267

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 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 As a problem that frequently arises, this issue is important for those new to regression analysis to understand. • Includes up-to-date Chapter 7 is expanded to include recent developments in regression. • Uses a diverse selection of 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 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 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.