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MATH431 - Linear Regression II


Linear regression models are widely used in business administration, economics, engineering, and the social, health, and biological sciences. Successful applications of these models require a sound understanding of both the underlying theory and the practical problems that are encountered in using the models in real-life situations. In this second linear regression course, students will focus on validating and creating linear models as a means to investigate the nature of the relationship between sets of predictor variables and a particular response variable. The emphasis will be on validating the utility and appropriateness of models used in a number of divergent application areas. Validation of regression model building assumptions will also be explored. Diagnostics and remedial measures, including transformations, will be examined. Specialized regression techniques will also be presented. (Prerequisite: MATH325)





Schedule of Classes

Registration Dates Course Dates Session
09/24/18 - 03/01/19 03/04/19 - 04/28/19 Winter 2019 Session D - 8 Week session
12/31/18 - 05/31/19 06/03/19 - 07/28/19 Spring 2019 Session D - 8 Week session

Course Materials

Previous Syllabi

Book Title: Applied Linear Regression Models, 4th ed. - the VitalSource e-book is provided inside the classroom
ISBN: 9781308043524
Publication Info: VS-McGraw-Hill
Author: Kutner
Unit Cost: $128.76
Electronic ISBN: 9781259283086
Electronic Unit Cost: $35.00