Understanding regression analysis : an introductory guide

著者

• Schroeder, Larry D.
• Sjoquist, David L.
• Stephan, Paula E.

書誌事項

Understanding regression analysis : an introductory guide

Larry D. Schroeder, David L. Sjoquist, Paula E. Stephan

（Sage publications series, . Quantitative applications in the social sciences ; 57）

Sage, c2017

2nd ed

• : [pbk]

注記

Includes bibliographical references (p. 98-99) and index

内容説明・目次

内容説明

Understanding Regression Analysis: An Introductory Guide 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.

目次

Series Editor's Introduction Preface Acknowledgments About the Authors 1. Linear Regression Introduction Hypothesized Relationships A Numerical Example Estimating a Linear Relationship Least Squares Regression Examples The Linear Correlation Coefficient The Coefficient of Determination Regression and Correlation Summary 2. Multiple Linear Regression Introduction Estimating Regression Coefficients Standardized Coefficients Associated Statistics Examples Summary 3. Hypothesis Testing Introduction Concepts Underlying Hypothesis Testing The Standard Error of the Regression Coefficient The Student's t Distribution Left-Tail Tests Two-Tail Tests Confidence Intervals F Statistic What Tests of Significance Can and Cannot Do Summary 4. Extensions to the Multiple Regression Model Introduction Types of Data Dummy Variables Interaction Variables Transformations Prediction Examples Summary 5. Problems and Issues Associated With Regression Introduction Specification of the Model Variables Used in Regression Equations and Measurement of Variables Violations of Assumptions Regarding Residual Errors Additional Topics Conclusions Appendix A: Derivation of a and b Appendix B: Critical Values for Student's t Distribution Appendix C: Regression Output From SAS, Stata, SPSS, R, and EXCEL Appendix D: Suggested Textbooks References Index

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BB23038025
• ISBN:
  • 9781506332888
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Los Angeles
• ページ数/冊数: xv, 104 p.
• 大きさ: 22 cm
• 分類:
  • LCC : HA31.3
  • DC23 : 300/.1/519536
• 件名:
  • LCSH : Regression analysis
  • LCSH : Social sciences -- Statistical methods
• 親書誌ID:
  • BA71788007