STAT-415 Regression (3)

Regression uses data to study mathematical relations among two or more variables, with the purpose of understanding trends, identifying significant predictors, and forecasting. The course covers simple and multiple regression, the method of least squares, analysis of variance, model building, regression diagnostics, and prediction. Students estimate and test significance of regression slopes, evaluate the goodness of fit, build optimal models, verify regression assumptions, suggest remedies, and apply regression methods to real datasets using statistical software. AU Core Integrative Requirement: Capstone. Crosslist: STAT-615. Usually Offered: fall, spring, and summer. Prerequisite: STAT-302 or STAT-320.