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Multiple Regression
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Multiple Regression
A Primer



© 1998 | 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.
 
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

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

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

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

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
April 13, 2010

Sample Materials & Chapters

Preface

Chapter 1

Chapter 3

Data Set


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ISBN: 9780761985334