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Applied Statistical Regression I
Angewandte statistische Regression I
Last Updated: 2026-02-05 16:14:52
Abstract
Simple and multiple regression models, with emphasis on practical aspects and interpretation of results, analysis of residuals and model selection.
Objective
Understanding the multiple linear regression model and its importance for modelling and prediction. Practice of regression analyses using the statistical software R and correct interpretation of results. Model critique by analysis of residuals. Strategies for model selection.
General Information
- Language
- German
- Levels
- WBZ
- Frequency
- Every two years
Examination
- Type
- ungraded semester performance
Registration & Places
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Angewandte statistische Regression I |
|
18 h semesterly |
| exercise | Angewandte statistische Regression I |
|
18 h semesterly |