Created on Mon Dec 6 19:05:32 2021
@author: Ben Lanoue This program will use linear regression to calculate James Robinson's rushing yards. This will be a single attribute supervised model consisting of rush attempts as the input and the rushing yards as the output. This program will utilize Andrew Ng's lecture model and theory. The model will make it so for a given amount of rush attempts, there is a calculated amount of rushing yards. Univariate linear regression This program will also use panda's dataframe to read the data as a csv file