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STAT 6620 - Applied Linear ModelsAn 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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