Part 1: Prerequisite to Regression Analysis

This section covers the foundational concepts necessary before delving into regression analysis, followed by a discussion on simple regression.

Part 2: Multiple Regression Analysis with Applications

This part explores multiple regression techniques and their practical applications, providing examples with complete computer analysis and instructions used in modeling and analyzing these problems.

Part 3: Regression and Modeling

Includes second order models, nonlinear regression, and interaction models in regressions, emphasizing detailed analysis and interpretation of computer results.

This book aims to help readers appreciate the power of computers in applying regression models. Understanding computer results is critical for implementing regression and modeling in real-world situations.

It is written for juniors, seniors, and graduate students in business, MBAs, professional MBAs, and working professionals 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 this book to be a valuable resource.