This project explored a data set containing health information across 254 counties in Texas. The data set contained information about average number of poor mental health days per county and the correlations were found with percent population that was overweight.

In this project, a linear regression model, K-Nn model, and decision tree will be used to attempt to predict the average annual small particulate matter(pM2.5) in various locations within the United states excluding Alaska and Hawaii.

The three datasets used (play, game, and stadium) contain variables for the game code, home team code, visiting team code, offensive team code and points, defensive team code and points, stadium turf type, type of play, distance, down, and period. From these data sets, I sought to find any correlation to a teams success. How does period affect points scored and how does surface relate to the distance traveled?