Multiple Regression

Paul D. Allison - University of Pennsylvania, University of Pennsylvania, USA

April 2018 | 224 pages | SAGE Publications, Inc

Presenting topics in the form of questions and answers, this popular supplemental text offers a brief introduction on multiple regression on a conceptual level. Author Paul D. Allison answers the most essential questions (such as how to read and interpret multiple regression tables and how to critique multiple regression results) in the early chapters, and then tackles the less important ones (for instance, those arising from multicollinearity) in the later chapters. With this organization, readers can stop at the end of any chapter and still feel like they've already gotten the meat of the subject.

Available Formats

ISBN: 9780761985334	Paperback	Suggested Retail Price: $126.00	Bookstore Price: $100.80
ISBN: 9781544342719	Electronic Version	Suggested Retail Price: $78.00	Bookstore Price: $78.00

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What Is Multiple Regression?

How Do I Interpret Multiple Regression Results?

What Can Go Wrong with Multiple Regression?

How Do I Run a Multiple Regression?

How Does Bivariate Regression Work?

What Are the Assumptions of Multiple Regression?

What Can Be Done about Multicollinearity?

How Can Multiple Regression Handle Nonlinear Relationships?

How Is Multiple Regression Related to Other Statistical Techniques?

This book is an excellent reference for applied researchers. Particularly for those who wants to work with multi-variable prediction problem.

Dr Anshuman Sharma

International Business Administration, College of Applied Sciences, Ministry of Higher Education

May 26, 2015

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Allison gives a great basic understanding to the conceptual element of regression analysis.

Ms Megan Haak

Ed Policy Community Stds Dept, University of Wisconsin - Milwaukee

August 6, 2011

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This is a well written and accessible book on the core issues relating to using regression analysis. It is well laid out with unambiguous explanations about why proceedures are as they are. Something in there for both the newbie and those who think they already know it all. I will be recommending it to all of my students who take courses on regression.

Dr Alex Sutherland

Institute of Criminology, Cambridge University

January 26, 2011

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The accessible language and simple format is ideal for students with little mathematical background.

Professor Joe Grengs

College Of Arch Urban Planning, University of Michigan

December 14, 2010

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Allison's book presents relevant information on multiple regression at a level that is easily digestible for students.

Professor Dale Willits

Sociology Dept, University of New Mexico