STAT 231 Applied Regression Analysis
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STAT 231 Applied Regression Analysis:
The program reviews simple linear regression and provides an intro to multiple regression with priority on the theory of limited squares estimation, model interpretation, and residual analysis. Within the context of the multiple regression context, the following topics will be discussed throughout the program which includes; transformations of variables model selection techniques, interactions, ANOVA multicollinearity, and influence diagnostics. The other topics covered include the Box-Cox transformations, logistic and Poisson regression, and weighted regression. The program also includes the computer lab sections about interactive data analysis utilizing statistical software.
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