Applied Regression and Modeling: A Computer Integrated Approach

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.

Dr. Amar Sahay is engaged in teaching, research, consulting, and training. He has taught/teaching at several Utah institutions, including the University of Utah, Salt Lake Community College, Weber State University, and Westminster College. He has a BS in production engineering (Birla Institute of Technology, India), an MS in industrial engineering and a PhD in mechanical engineering (both from University of Utah). Amar is a certified Six Sigma Master Black Belt and holds an expert level certification in lean manufacturing/lean management. Amar is a senior member of the Institute of Industrial Engineers and the American Society for Quality (ASQ), and a member of Alpha Pi Mu, the national industrial engineering honor society.