Introductory Regression Analysis: with Computer Application for Business and Economics

by Allen L. Webster

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used.


Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation of software, while also demonstrating the logic, reasoning, and calculations that lie behind any statistical analysis. Furthermore, the text emphasizes the application of regression tools to real-life business concerns. This multilayered, yet pragmatic approach fully equips students to derive the benefit and meaning of a regression analysis.


This text is designed to serve in a second undergraduate course in statistics, focusing on regression and its component features. The material presented in this text will build from a foundation of the principles of data analysis. Although previous exposure to statistical concepts would prove helpful, all the material needed for an examination of regression analysis is presented here in a clear and complete form.

489 pages, Kindle Edition

First published August 1, 2012

About the author

Allen L. Webster currently teaches Business Statistics and Economics at Bradley University in Peoria, Illinois after many years at Eastern Kentucky University. He has also taught at the University of Kentucky in both statistics and economics. His Ph.D. is in Economics from Florida State University.