Linear regression models, also known as linear models, are essential tools in various fields due to their simplicity and ease of interpretation. This workshop offers a comprehensive introduction to both simple and multiple linear regression.

What you'll learn:

  • Fundamentals of regression models and their assumptions
  • How to interpret coefficients and conduct significance testing
  • Exploring interactions between variables and using dummy variables
  • Model-checking techniques, including residual plots and collinearity diagnostics
  • Methods for model selection

Hands-on experience: We'll demonstrate the analysis using R. Participants with basic programming knowledge are encouraged to bring a laptop for hands-on practice. No prior experience? No problem! You'll still gain a solid understanding of the concepts.