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STAT 4230/6230

Applied Regression Analysis
Credit Hours:
3 hours

Applied methods in regression analysis with implementation in R. Topics include linear regression with mathematical examination of model assumptions and inferential procedures; multiple regression and model building, including collinearity, variable selection and inferential procedures; ANOVA as regression analysis; analysis of covariance; diagnostic checking techniques; generalized linear models, including logistic regression.

Undergraduate Prerequisite: (STAT 4210 or STAT 4110H) and (MATH 2250 or MATH 2250E) and (STAT 2010 or STAT 2360-2360L)
Graduate Prerequisite: STAT 6210 or STAT 6310 or STAT 6315 or permission of department
Semester Offered:

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