Applied Regression Models

Catalog description

Prerequisite(s): A grade of B or better in MTH/STA 347 or departmental approval. An applied data analysis course focused on regression. A review of simple linear regression will progress into using more than one predictor variable to predict another. Topics will include model checking, variable selection methods, dummy variables, and diagnostic measures. Instruction will include the use of a statistical programming language.