Please complete before the next class.

Make sure that you’ve completed all previous HW first.

In class, we did this exercise. Solutions are here.

We talked through chapter 17 of the notes “Econometric Notation” and the multiple regression model.

For the exam, you should be able to:

  1. Explain the difference between FPP’s notation (\(y = mx + b\)) and the econometric notation (\(y = \beta_0 + \beta_1x + u\)).
  2. Interpret the slope coefficient \(m\) or \(\beta_1\). A one-unit increase in \(x\) leads to a \(m\) or \(\beta_1\) unit increase in \(y\), on average.
  3. Explain how to use the multiple regression model to draw causal inferences. Control for confounding variables!

Computing Assignment 2

We’ve (finally) covered the material you need for Computing Assignment 2. It’s officially due April 22, but I recommend doing it soon.

Final Exam

I posted a practice quiz for probability and inference that you can take to prepare for the final. It draws upon a large bank of questions, so you can take it multiple times and get practice and feedback. (The regression material is also included on the Final, but is not covered on the practice quiz.)

Creative Commons License
Carlisle Rainey