Fr. 240.00

Regression Basics - A Students Guide to Quantitative Methods and Statistical Analysis

English · Hardback

Shipping usually within 3 to 5 weeks

Description

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Using an accessible, non-technical approach, the third edition of Regression Basics introduces readers to the fundamentals of statistical regression. Accessible to anyone with an introductory statistics background, the book draws on engaging examples using real-world data and software programs.


List of contents










1. Introduction 2. An Introduction to the Linear Regression Model 3. The Least Squares Estimation Method 4. Model Performance and Evaluation 5. The Multiple Regression Model 6. Nonlinear and Logarithmic Models and Dummy and Interaction Variables 7.Time Series and Panel Data: An Introduction 8. Some Common Problems in Regression Analysis 9. Where to Go from Here Appendix A: t Table


About the author










Leo H. Kahane is the Michael A. Ruane Distinguished Chair in Economics at Providence College in Rhode Island, USA. He earned his BA degree in economics at the University of California, Berkeley, and his PhD degree in economics at Columbia University. He is the author/editor of multiple books, various book chapters, and dozens of peer-reviewed journal articles. He is also the founding editor of the Journal of Sports Economics.


Summary

Using an accessible, non-technical approach, the third edition of Regression Basics introduces readers to the fundamentals of statistical regression. Accessible to anyone with an introductory statistics background, the book draws on engaging examples using real-world data and software programs.

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