Share
Multiple Regression
A Primer
- Paul D. Allison - University of Pennsylvania, University of Pennsylvania, USA
Courses:
Regression & Correlation
Regression & Correlation
December 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?
The accessible language and simple format is ideal for students with little mathematical background.
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.
Sociology Dept, University of New Mexico
April 13, 2010
Easy to read. A good primer
Education Dept, North Carolina State University
January 25, 2010