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Book Description

The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. This book covers essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The book provides a non-theoretical treatment that is accessible to readers with even a limited statistical background. This book describes exactly how regression models are developed and evaluated. The data used in the book are the kind of data managers are faced with in the real world. The book provides instructions and screen shots for using Microsoft Excel to build business/economic regression models. Upon completion, the reader will be able to interpret the output of the regression models and evaluate the models for accuracy and shortcomings.

Table of Contents

  1. Cover
  2. Title
  3. Copyright
  4. Abstract
  5. Contents
  6. Chapter 1: Background Issues for Regression Analysis
  7. Chapter 2: Introduction to Regression Analysis
  8. Chapter 3: The Ordinary Least Squares (OLS) Regression Model
  9. Chapter 4: Evaluation of Ordinary Least Squares (OLS) Regression Models
  10. Chapter 5: Point and Interval Estimates From a Regression Model
  11. Chapter 6: Multiple Linear Regression
  12. Chapter 7: A Market Share Multiple Regression Model
  13. Chapter 8: Qualitative Events and Seasonality in Multiple Regression Models
  14. Chapter 9: Nonlinear Regression Models
  15. Chapter 10: Abercrombie & Fitch and Jewelry Sales Regression Case Studies
  16. Chapter 11: The Formal Ordinary Least Squares (OLS) Regression Model
  17. Appendix: Some Statistical Background
  18. Index
  19. Adpage
  20. Backcover
18.226.172.214