3 Interpreting regression and causality

Multiple linear regression does not, by default, tell us anything about causality. But with the right data and careful interpretation we might be able to learn some causal relationships.

Joshua Loftus


Link Type Description
html pdf Slides Causality and interpreting regression
Rmd Notebook Regression coefficients and causality

To be updated


Required reading

Supplemental reading

Rerum cognoscere causas


Fortunate, who can know the causes of things

Slides, notebooks, exercises

[Slides] for first causality video (PDF)

Slides for second causality video

Slides for logistic regression video

Notebook from seminar


Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".


For attribution, please cite this work as

Loftus (2021, Oct. 9). machine learning 4 data science: 3 Interpreting regression and causality. Retrieved from http://ml4ds.com/weeks/03-causality/

BibTeX citation

  author = {Loftus, Joshua},
  title = {machine learning 4 data science: 3 Interpreting regression and causality},
  url = {http://ml4ds.com/weeks/03-causality/},
  year = {2021}