SDS 4130
Linear Statistical Models
Theory and practice of linear regression, analysis of variance (ANOVA) and their extensions, including testing, estimation, confidence interval procedures, modeling, regression diagnostics and plots, polynomial regression, collinearity and confounding, model selection, geometry of least squares, etc. The theory will be approached mainly from the frequentist perspective and use of the computer (mostly R) to analyze data will be emphasized. Prerequisite: Please see eligibility rules. If SDS 3030 (Math/SDS 3211) is taken, SDS 4010 (Math/SDS 493) is not required.
Prerequisites & course information
Credit 3 units. ArtSci IQ: NSM Typical periods offered: Fall, Spring
Sources
- Course catalogue โ2026โ2027