Regression Analysis

Undergraduate

Simple and multiple linear regression and correlation, measures of model adequacy, residual analysis, weighted least squares, polynomial regression, indicator variables, variable selection and model building, multicollinearity, time series, additional topics. Use of SAS, Maple or other statistical packages. Course Format: Lectures, 3 hours per week; lab/tutorial, 1 hour per week. Prerequisite(s): STAT (MATH) 1P11 or 1P12; STAT 2P82 (MATH) or permission of the instructor Course Notes: This course has been approved by VEE (Validation by Education Experience) Administration Committee of the Society of Actuaries. To receive VEE credit, candidates will need a minimum grade of 70 percent. Exclusions: Completion of this course will replace previously assigned grade and credit obtained in MATH 3P82.