Around this time last year, I uploaded two of my term papers to this blog, as I believed they might be of interest to my readers. Today, as a bit of a Christmas present, I’m back to do it again.
This paper looks at which factors best predicted state-level turnout during the 2016 presidential election, with some fun variables and some serious variables. Since it was for a statistics class, the word count fell on the shorter side.
The requirements of the assignment were to:
- Independently gather and organize data, readying it for statistical analysis
- Build, test, and compare different multiple linear regression models
I do most of my statistical work in R, so the code (and relevant output) is at the very bottom of the document, if you want to poke around for yourself.
First Past the Poll 