Larry D. Schroeder & David L. Sjoquist 
Understanding Regression Analysis [EPUB ebook] 
An Introductory Guide

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.

Tabla de materias

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

Sobre el autor

Stephan′s research interests focus on the careers of scientists and engineers and the process by which knowledge moves across institutional boundaries in the economy. Stephan currently serves on the National Research Council Board on Higher Education and Workforce. She served on the National Advisory General Medical Sciences Council, National Institutes of Health, 2005-2009 and served on the Advisory Committee of the Social, Behavioral, and Economics Program, National Science Foundation, 2001-2008. She was a member of the European Commission High-Level Expert Group that authored the report ‘Frontier Research: The European Challenge.’ She has served on a number of National Research Council committees including the committee on Dimensions, Causes, and Implications of Recent Trends in the Careers of Life Scientists, Committee on Methods of Forecasting Demand and Supply of Doctoral Scientists and Engineers, and the Committee on Policy Implications of International Graduate Students and Postdoctoral Scholars in the United States. Her research has been supported by the Alfred P. Sloan Foundation, the Andrew W. Mellow Foundation, and the National Science Foundation. Dr. Stephan graduated from Grinnell College (Phi Beta Kappa) with a B.A. in Economics and earned both her M.A. and Ph.D. in Economics from the University of Michigan. She has been a visiting scholar at Katholeike Universiteit Leuven, Belgium, spring 2005, a Wertheim Fellow, Harvard University, February 2007, and an ICER fellow, Turin, Italy, fall 2009, spring 2011, and fall 2011. She has also been a visiting scholar at the Department of Economics, Cognetti de Martiis, University of Torino, spring 2011 and fall 2011.

Stephan is a research associate, National Bureau of Economic Research.

Stephan has published numerous articles in journals such as The American Economic Review, Science, The Journal of Economic Literature, Economic Inquiry, The International Economic Review and Social Studies of Science. She co-wrote, with Sharon Levin, Striking the Mother Lode in Science (Oxford University Press, 1992).