BRM 9204: Regression Analysis

3 Credit Hours
Prerequisite: Admission into the PhD in Business Administration or Post-Master’s Certificate in Business Research Methods
Concurrent: BRM 9201
This course develops skills in utilizing multiple regression analysis focusing on ordinary least squares regression and logistic regression. The course will cover various topics in regression ranging from assumptions to interpretation, advanced diagnostics such as multicollinearity, serial correlation and heteroscedasticity, endogeneity, two-stage analysis, panel data analysis, and interaction effects. Issues unique to logistic regression will also be covered. Students will use actual data to perform the empirical analysis and interpret the results.