Regression Models for Business Analytics. (3-0) 3 Credit Hours

Catalog description

Prerequisite: A grade of "C-" or better in one of the following: BAN 1023 , STA 1053 , or STA 3003 , or equivalent. This course introduces regression analysis with applications in business analytics. Topics include multiple linear regression, logistic regression, forecasting, model building and evaluation, and variable selection methods. Additional topics include diagnostics and validation of regression models, interpretation of analytical outcomes, and comparison of various regression approaches within business contexts. Students will apply statistical software to analyze real-world data sets and develop practical skills for data-driven decision making. (Formerly MS 3073. Credit cannot be earned for both MS 3073 and BAN 3073 . Formerly titled: "Business Intelligence and Analytics.") This course has Differential Tuition. Course Fee: DL01 $75.