STAT 5310 - Applied Regression Analysis

Credits: 3 Class: 3 Lab: 0
Prerequisite(s): B or higher in STAT 5301 or departmental approval.
This course covers the theory and applications of linear regression models and generalized linear models. Topics include simple linear regression model, polynomial regression model, multiple linear regression model, logistic regression model, variable selection, model diagnostics, and variable transformation. Computational techniques in R or SAS or other appropriate packages are emphasized.