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


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

Fall 2017 Spring 2018 Summer 2018

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