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.