Exercise

Linear regression on the United States

A linear regression is a model that lets us examine how one variable changes with respect to another by fitting a best fit line. It is done with the lm() function in R.

Here, you'll fit a linear regression to just the percentage of "yes" votes from the United States.

Instructions

100 XP

Print the US_by_year data to the console.
Using just the US data in US_by_year, use lm() to run a linear regression predicting percent_yes from year. Save this to a variable US_fit.
Summarize US_fit using the summary() function.