Regression Theory and Applications (formerly MATH 0211)

Regression is a popular statistical technique for making predictions and for modeling relationships between variables. In this course we will discuss the theory and practical applications of linear, log-linear, and logistic regression models. Topics include least squares estimation, coding for categorical predictors, analysis of variance, and model diagnostics. We will apply these concepts to real datasets using R, a statistical programming language. (MATH 0200 Concurr And (MATH 0116 Or STAT 0116) Or (MATH 0201 Or STAT 0201) Or PSYC 0201 Or ECON 0111) (Not open to students who have taken ECON 0211) 3 hrs lect./disc.