STA 363 - Advanced Regression (1)

Following a second regression course, this class will begin with a review of multiple linear regression, but now using R. New topics will include probability distributions, likelihoods, differentiating binary vs binomial logistic regression, and poisson regression including its variants. The class of generalized linear models will then be presented which unifies all past modeling approaches. All methods are presented using realistic case studies. Conducting and communicating the modeling process including exploratory data analysis, model exploration and selection, and inferences are all emphasized. Prerequisite(s): STA 201, STA 202, and DSC 223. Alternate years.