STA 432 - Applied Regression Analysis (4)

Matrix approach to regression models, least square estimation, correlation, multiple regression, transformation of variables, analysis of residuals, multicollinearity and auto-correlation. Use of computer packages for applied problems.

Prerequisite(s): C or better in STA 326 or STA 341 and MAT 208 or consent of instructor
Component(s): 4 lecture/problem-solving.
When Offered: F, odd years