BMGT 836
Applied Regression Models
An introduction to regression models used in business research. Topics include: simple and multiple regression, diagnostics for checking model adequacy, transformations, polynomial models, indicator variables, multicollinearity, variable selection, times series data, generalized linear models, implementation using statistical software, and application to research questions.
Topics
- simple and multiple regression
- diagnostics for checking model adequacy
- transformations
- polynomial models
- indicator variables
- multicollinearity
- variable selection
- times series data
- generalized linear models
- implementation using statistical software
- and application to research questions
Topics explicitly listed in official catalogue description
Prerequisites & course information
Recommended: It is assumed that the student has taken a first course in statistics and is familiar with the content of such course including interval estimation and hypothesis testing.
Sources
- Course catalogue ↗2026-2027