STAT 4120 - Applied Linear Models

Effective Start Date: 03/24/2021
Linear regression models, inferences in regression analysis, model validation, selection of independent variables, multicollinearity, influential observations, auto-correlation in time series data, polynomial regression, and nonlinear regression. Conceptual discussion in lectures is supplemented with hands-on practice in applied data-analysis tasks using SAS or R statistical software.

Requisites: Students must have completed STAT 3120 and one of MATH 3350, MATH 3351, or APMA 3080

Credits: 3