STAT 353

Applied Regression Analysis

Units: 1.5, Hours: 3-0

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

Prerequisites: 256 or 261, and one of MATH 110, 133, 211, 233A; or permission of the department.

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