R - Linear Models

This two-day-training covers the most important models in statistics: ANOVA and Regression. 

Beginning with a short recap of hypothesis test students will work through many demonstrations and excercises practicing all relevant R-functions in the context of linear models. Students will learn how to compare two or more group-means and analyze the effect of continuous variables on a response. The training does n ot only cover the statistical basics but all needed R-functions to specify, validate and interpret linear models.

All scripts and packages used during this training are available free of charge.

Content

• Hypothesis Testing
• Compairing Means (ANOVA)
  • Model Specification
  • Model Interpretation
  • Residual Diagnostics and Assumptions
• Simple Linear Regression
• Multiple Linear Regression
  • Model Specification
  • Model Interpretation
  • Residual Diagnostics and Assumptions

Requirements:

Students should have a basic understanding of how to work with R. This is covered by our training Explorative Data Analysis with R.