Visualizing Linear Regression with Shiny

For my econometrics course this semester, I have been using R to help students visualize linear regression models. Running a regression in R is quite simple, as is intepretting the results, with a little bit of training. However, I emphasize that I want students to understand what is happening “inside the black box” of regression. I discourage blindly trusting R’s opaquely simple input and output, and get students to learn what R is doing under the hood, even if they will never have to manually estimate the model themselves.

Econometrics Lecture Slides on GitHub

This semester, I am posting my lecture slides for my Econometrics class on GitHub. While I usually post my lecture slides for my courses on my website or link to my Dropbox, those are the final PDF documents. On GitHub, I am posting both the final PDFs as well as the source .rmd files. I am primarily doing this for my econometrics students, who will be learning R and R Markdown for their assignments (which is how I write my slides), but this is also open to anyone.