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Mar 14, 2025
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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 and STAT 3640.
Credits: 3 hours
Notes: Open to Graduate students only.
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