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by Mary Beal, Barry P. Keating, J. Holton Wilson
Regression Analysis
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Title
Copyright
Abstract
Contents
Chapter 1: Background Issues for Regression Analysis
Chapter 2: Introduction to Regression Analysis
Chapter 3: The Ordinary Least Squares (OLS) Regression Model
Chapter 4: Evaluation of Ordinary Least Squares (OLS) Regression Models
Chapter 5: Point and Interval Estimates From a Regression Model
Chapter 6: Multiple Linear Regression
Chapter 7: A Market Share Multiple Regression Model
Chapter 8: Qualitative Events and Seasonality in Multiple Regression Models
Chapter 9: Nonlinear Regression Models
Chapter 10: Abercrombie & Fitch and Jewelry Sales Regression Case Studies
Chapter 11: The Formal Ordinary Least Squares (OLS) Regression Model
Appendix: Some Statistical Background
Index
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Chapter 1: Background Issues for Regression Analysis
Contents
Chapter 1
Background Issues for Regression Analysis
Chapter 2
Introduction to Regression Analysis
Chapter 3
The Ordinary Least Squares (OLS) Regression Model
Chapter 4
Evaluation of Ordinary Least Squares (OLS) Regression Models
Chapter 5
Point and Interval Estimates From a Regression Model
Chapter 6
Multiple Linear Regression
Chapter 7
A Market Share Multiple Regression Model
Chapter 8
Qualitative Events and Seasonality in Multiple Regression Models
Chapter 9
Nonlinear Regression Models
Chapter 10
Abercrombie & Fitch and Jewelry Sales Regression Case Studies
Chapter 11
The Formal Ordinary Least Squares (OLS) Regression Model
Appendix
Some Statistical Background
Index
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