3.24 Models: Exercise

Please discuss with your neighbor (or think about it at home)…

1. What is a model?
2. What is the relationship between a model and the data?
3. What do we do when we estimate a model?
4. What do we do when we predict values using a model?
5. What is the difference between associational and causal inference?
6. Please give examples for three assumptions that are quite commonly made in statistical analysis.

# load_packages_paul ####
  source("www/function_load_packages.R") # Load functions
  load_packages_paul() # load packages