Wrapping it up
That was a lot of material! Congrats on reaching the end of Chapter 3!
In this chapter, we learned about the links between regression, observational data, and causal models. We started with a review of linear regression. After that, we discussed the concept of statistical control and demonstrated how it can lead us astray. We analyzed selected recommendations regarding statistical control and reviewed them from a causal perspective. Finally, we examined the links between linear regression and SCMs.
A solid understanding of the links between observational data, regression, and statistical control will help us move freely in the world of much more complex models, which we’ll start introducing in Part 2, Causal Inference.
We’re now ready to take a more detailed look at the graphical aspect of causal models. See you in the next chapter!
