Apr 23, 2024  
2018-2019 Graduate Bulletin 
    
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2018-2019 Graduate Bulletin [ARCHIVED CATALOG]

STAT 5120 - Regression Analysis


Credit Hours 3
Prerequisite: Inferential and descriptive statistics at the level of STAT 3250 or STAT 5050 .  Prior exposure to statistical software and familiarity with basic matrix algebra is assumed.
Description: Simple and multiple least squares regression. Curvilinear and piecewise models. Inferences for parameters. Diagnostic, remedial, and goodness of fit measures. Model building techniques including best subsets, stepwise
regression, cross-validation, ridge, lasso, and PCR. Categorical predictors and ANCOVA. Basic logistic regression. Appropriate statistical software used throughout.