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MATH325 - Linear Regression I

 

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 first course in linear regression students will be exposed to some of the fundamental tools of linear regression. The emphasis will be on using and interpreting linear models. In addition to analyzing given linear models, students will analyze data and create linear regression models as a means to assess and evaluate the extent to which individual or sets of predictor variables influence a particular response. Furthermore, students will use models to forecast outcomes associated with various response variables. Applications from a number of different areas will be examined. (Prerequisites: MATH220 and MATH302)

 

Prerequisites

Corequisites

N/A

Schedule of Classes

Registration Dates Course Dates Session
05/28/18 - 11/02/18 11/05/18 - 12/30/18 Fall 2018 Session I - 8 Week session
08/27/18 - 02/01/19 02/04/19 - 03/31/19 Winter 2019 Session I - 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: McGraw-Hill
Author: Kutner
Unit Cost: $128.76
Electronic ISBN: 9781259283086
Electronic Unit Cost: $35.00