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:

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

Schedules:
Summer Fall Spring

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