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Business Information Systems
This project consisted of collecting a plethora of statistics collected by the PGA Tour from the 2020 season with the goal of building a multiple linear regression model to predict the amount of money a player would earn in mind. Several research questions answered were whether driving distance significantly contributed to the amount of money earned as well as whether putting was a significant predictor variable. The purpose of the project was to be better equipped to answer questions asked by students when teaching in the golf industry. It was found that the 4 most significant predictors of money earned on the PGA Tour were in order as follows: Events played, Strokes Gained Total, Putts Per Round, and Strokes Gained Tee to Green.
Carleton, Skylar, "A Multiple Linear Regression Model to Predict Money Earned on the PGA Tour" (2021). Honors Theses. 3483.
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