STAT 870: Multiple Regression Analysis

Linear regression and related analysis of variance and covariance methods for models with two or more independent variables. Techniques for selecting and fitting models, interpreting parameter estimates, and checking for consistency with underlying assumptions. Partial and multiple correlation, dummy variables, covariance models, stepwise procedures, response surfaces estimation, and evaluation of residuals.
This course is a prerequisite for: STAT 875, STAT 974
Credit Hours: 3
Course Delivery: Classroom