Regression Basics: A Student’s Guide to Quantitative Methods and Statistical Analysis

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Leo H. Kahane

Regression Basics

A Student’s Guide to Quantitative Methods and Statistical Analysis

Leo H. Kahane

$284

Hardback

Forthcoming
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English

Routledge
01 October 2024

Social research & statistics; Psychological methodology; Politics & government; Economic statistics; Probability & statistics

"Using an accessible, nontechnical approach, the third edition of Regression Basics introduces readers to the fundamentals of statistical regression. Accessible to anyone with an introductory statistics background, the book draws on engaging examples using real-world data and software programs SPSS®, Stata®, and R to illustrate the key concepts of the least squares regression methodology.

The book emphasizes the intuition of regression methodology and provides a hands-on approach, as well as helpful end-of-chapter summaries and questions to consolidate learning. This new edition has been substantially revised and enhanced, with features including the following:

Fully updated to show procedures in R, SPSS®, and Stata®

Color images and substantially revised visual presentation A suite of online resources including data sets, software instructions, and PowerPoint slides for instructors New and updated examples throughout Expanded material to help students overcome ""math anxiety"" Expanded material on multicollinearity, heteroskedasticity, and robust standard errors

This well-paced book is ideal for advanced undergraduate and graduate students focusing on quantitative methods, research design, and statistical regression in the social and behavioral sciences, political science, and economics."

By: Leo H. Kahane
Imprint: Routledge
Country of Publication: United Kingdom
Edition: 3rd edition
Dimensions: Height: 229mm, Width: 152mm,
ISBN: 9781032392479
ISBN 10: 1032392479
Pages: 216
Publication Date: 01 October 2024
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Forthcoming

1. Introduction 2. An Introduction to the Linear Regression Model 3. The Least Squares Estimation Method 4. Model Performance and Evaluation 5. The Multiple Regression Model 6. Nonlinear and Logarithmic Models and Dummy and Interaction Variables 7.Time Series and Panel Data: An Introduction 8. Some Common Problems in Regression Analysis 9. Where to Go from Here Appendix A: t Table

Leo H. Kahane is the Michael A. Ruane Distinguished Chair in Economics at Providence College in Rhode Island, USA. He earned his BA degree in economics at the University of California, Berkeley, and his PhD degree in economics at Columbia University. He is the author/editor of multiple books, various book chapters, and dozens of peer-reviewed journal articles. He is also the founding editor of the Journal of Sports Economics.