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Applied Regression Analysis for Business and Economics is designed for a one-semester course in regression analysis. This text is primarily intended for business and economics undergraduates or MBAs. The goal of the text is to present regression techniques in a way that avoids unnecessary mathematical rigor. The emphasis is on understanding the assumptions of the regression model. knowing how to validate a selected model for these assumptions. knowing when and how regression might be useful in a business setting. and understanding computer output from commonly encountered statistical packages. The text utilizes the statistical packages of SAS and MINITAB. Other statistical packages containing regression procedures could also be used with little effort. Brief introductions to both MINITAB and SAS are presented in Appendix D.
Actual data drawn from various sources are used throughout the book in the examples and exercises. When data are simulated. an attempt has been made to provide realistic data and situations in which these data might occur. In this way the relevance of the techniques being presented is highlighted for students.
To use the text. little mathematical expertise is necessary beyond basic college algebra. Calculus is only used in Chapter 3 to derive the equations for the least squares estimates of the simple regression coefficients. If desired. this derivation using calculus could be excluded without loss of continuity. No knowledge of linear algebra is assumed in the text. Appendix C does provide a summary of matrices and matrix operations and a brief introduction to the use of matrices in presenting the least squares method for the interested reader. An introductory (or first semester) course in statistics is assumed. Chapter 2 does. however. contain a brief review of most of the concepts covered in an introductory statistics course.

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