Book description
The book is divided into three parts – (1) prerequisite to regression analysis followed by a discussion on simple regression, (2) multiple regression analysis with applications, and (3) regression and modeling including the second order models, nonlinear regression, and interaction models in regressions. All these sections provide examples with complete computer analysis and instructions commonly used in modeling and analyzing these problems. The book deals with detailed analysis and interpretation of computer results. This will help readers to appreciate the power of computer in applying regression models. The readers will find that the understanding of computer results is critical to implementing regression and modeling in real world situation. The book is written for juniors, seniors and graduate students in business, MBAs, professional MBAs, and working people in business and industry. Managers, practitioners, professionals, quality professionals, quality engineers, and anyone involved in data analysis, business analytics, and quality and six sigma will find the book to be a valuable resource.
Table of contents
- Cover
- Title
- Copyright
- Preface
- Acknowledgments
- Computer Software Integration, Computer Instructions, and Data Files
- Chapter 1. Introduction to Regression and Correlation Analysis
- Chapter 2. Regression, Covariance, and Coefficient of Correlation
- Chapter 3. Illustration of Least Squares Regression Method
- Chapter 4. Regression Analysis Using a Computer
- Chapter 5. Multiple Regression: Computer Analysis
- Chapter 6. Model Building and Computer Analysis
- Chapter 7. Models with Qualitative Independent (Dummy) Variables, Interaction Models, All Subset and Stepwise Regression Models with Computer Analysis
- Chapter 8. Notes on Implementation of Regression Models
- Bibliography
- Index
- Adpage
Product information
- Title: Applied Regression and Modeling
- Author(s):
- Release date: June 2016
- Publisher(s): Business Expert Press
- ISBN: 9781631573309
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