Applied Regression Analysis in Business

Catalog description

Multiple regression as related to the analysis of business problems. Includes both explanatory and predictive use of regression models. Topics include statistical inference (intervals and hypothesis tests), model assumptions, model building, and model evaluation. Prerequisites: ISA 225 with a grade of C or better, or SLM 275 with a C or better.