Regression Analysis


Extensive study of regression modeling. Multiple regression, weighted least squares, logistic regression, log-linear models, analysis of variance, model diagnostics and selection. Emphasis on applications. Examples drawn from a variety of fields. Prerequisite: 100-level Statistical Science course or Statistical Science 230 or Statistical Science 240L. Interested students with a different background should discuss and seek instructor consent. 

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