MSAN 601

Linear Regression Analysis

An introduction to regression and its practical applications. Topics include multiple linear regression models, generalized linear models, and penalized regression techniques. Special attention will be given to model selection, diagnostics, estimation, and prediction using R software.

Restriction: Restricted to Graduate level; Restricted to Analytics Majors
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