STAT 353

Applied Regression Analysis

Units: 1.5

Hours: 3-0-0

An outline of linear regression theory with applications; multiple linear regression, polynomial regression, model adequacy checking, variable transformation, variable selection, indicator variable, diagnostics for leverage and influential observations, multicollinearity problem, model selection, stepwise regression, prediction and inference


Undergraduate course in Statistics offered by the Department of Mathematics and Statistics in the Faculty of Science.

Summer 2019 Fall 2019 Spring 2020

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

Before these dates the class schedule will show "No classes were found that meet your search criteria". If this message is shown after these dates, the course is not scheduled for the selected term.