— Statistical Methods for Research I
Focus on linear statistical models. Emphasis on concepts, method and data analysis. Topics include simple and multiple linear regression, polynomial regression, diagnostics, model selection, factorial designs and analysis of covariance. Use of professional level software.
Topics
- simple and multiple linear regression
- polynomial regression
- diagnostics
- model selection
- factorial designs and analysis of covariance
Topics explicitly listed in official catalogue description
Prerequisites & course information
Course Description: Focus on linear statistical models. Emphasis on concepts, method and data analysis. Topics include simple and multiple linear regression, polynomial regression, diagnostics, model selection, factorial designs and analysis of covariance. Use of professional level software. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027