The authors have provided beginners with a background to the frequently-used technique of linear regression. It is not intended to be a substitute for a course or textbook in statistics, but rather a stop-gap for students who encounter empirical work before undertaking a statistics course. It provid
Understanding Regression Analysis: An Introductory Guide
β Scribed by Larry D. Schroeder; David L. Sjoquist; Paula E. Stephan
- Publisher
- SAGE Publications, Incorporated
- Year
- 2016
- Tongue
- English
- Leaves
- 122
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Understanding Regression Analysis: An Introductory Guide by Larry D. Schroeder, David L. Sjoquist, and Paula E. Stephan presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are estimated, interpreted, and used in a variety of settings within the social sciences, business, law, and public policy. Packed with applied examples and using few equations, the book walks readers through elementary material using a verbal, intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. The Second Edition features updated examples and new references to modern software output.
β¦ Table of Contents
UNDERSTAND INGREGRESSION ANALYSIS- FRONT COVER
UNDERSTAND INGREGRESSION ANALYSIS
COPYRIGHT
CONTENTS
SERIES EDITORβS INTRODUCTION
PREFACE
ACKNOWLEDGMENTS
ABOUT THE AUTHORS
CHAPTER 1- LINEAR REGRESSION
CHAPTER 2- MULTIPLE LINEAR REGRESSION
CHAPTER 3- HYPOTHESIS TESTING
CHAPTER 4- EXTENSIONS TO THE MULTIPLE REGRESSION MODEL
CHAPTER 5- PROBLEMS AND ISSUES ASSOCIATED WITH REGRESSION
APPENDIX A: DERIVATION OF A AND B
APPENDIX B: CRITICAL VALUES FOR STUDENTβS T DISTRIBUTION
APPENDIX C: REGRESSION OUTPUT FROM SAS, STATA, SPSS, R, AND EXCEL
APPENDIX D: SUGGESTED TEXTBOOKS
REFERENCES
INDEX
π SIMILAR VOLUMES
The authors have provided beginners with a background to the frequently-used technique of linear regression. It is not intended to be a substitute for a course or textbook in statistics, but rather a stop-gap for students who encounter empirical work before undertaking a statistics course. It provid
<p>The authors have provided beginners with a background to the frequently-used technique of linear regression. It is not intended to be a substitute for a course or textbook in statistics, but rather a stop-gap for students who encounter empirical work before undertaking a statistics course. It pro
By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Chapters discuss: -descript