STAT 6620 - Applied Linear Models

An advanced course in applied statistics. Linear models will be used to treat a wide range of regression and analysis of variance methods. Topics include: matrix review; multiple, curvilinear, nonlinear, and stepwise regression; correlation; residual analysis; model building; use of the regression computer packages at WMU; use of indicator variables for analysis of variance and covariance models.

Prerequisites/Corequisites: Prerequisites: MATH 2300, STAT 3640, (5600 or 4600) or equivalent.

Credits 3 hrs.

Notes:
Open to Graduate Students Only.