- English
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- Available on iOS & Android
eBook - ePub
About this book
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.
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Yes, you can access Multiple Regression by Paul D. Allison in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Series
- Title Page
- Copyright Page
- Acknowledgements
- Acknowledgements
- Contents
- Series Foreword
- Preface
- 1. What Is Multiple Regression?
- 2. How Do I Interpret Multiple Regression Results?
- 3. What Can Go Wrong With Multiple Regression?
- 4. How Do I Run a Multiple Regression?
- 5. How Does Bivariate Regression Work?
- 6. What Are the Assumptions of Multiple Regression?
- 7. What Can Be Done About Multicollinearity?
- 8. How Can Multiple Regression Handle Nonlinear Relationships?
- 9. How Is Multiple Regression Related to Other Statistical Techniques?
- Answers to Questions to Think About
- References
- Index