You've got your data and you have a basic understanding of how a model works, but how do you know how to identify the right data? How can you distinguish treasure from trash when it comes to building a sports model?
This episode will explore Correlation and how it helps us identify variables that are predictive in our models.
Books Mentioned in This Episode:
Picking NFL Winners - https://amzn.to/2ymX4Zt
Sharper - https://amzn.to/36rREJl
Spreadsheet Used in This Episode:
Excel Version : https://drive.google.com/file/d/1_NoXoG4G_Y6_gw1arkeX9LVFCgM59dCi
Google Sheets Version : https://docs.google.com/spreadsheets/d/1hccZdNKpovHU5J_ijVuvAHZsmhPdlBdyuFLbUfZLTAE