Multiple regression : a primer

Author(s)

• Allison, Paul David

Bibliographic Information

Multiple regression : a primer

Paul D. Allison

（The Pine Forge Press series in research methods and statistics）

Pine Forge Press, c1999

• : pbk

Note

Includes bibliographical references (p. [195]-196)and index

Description and Table of Contents

Description

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.

Table of Contents

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?

by "Nielsen BookData"

Details

• NCID: BA42812265
• ISBN:
  • 9780761985334
• LCCN: 98040066
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Thousand Oaks, Calif.
• Pages/Volumes: xviii, 202 p.
• Size: 23 cm
• Classification:
  • LCC : QA278.2
  • DC21 : 519.5/36
  • NDC9 : 417
• Subject Headings:
  • LCSH : Regression analysis
• Parent Bibliography ID:
  • BA26655268