Hey ATC, nice job with the stats.

Coupla questions if ya don't mind.
1. What kind of test statistics did this model produce, specifically sigificance level (allowing for small sample) and R-squared.
2. Could you improve the model by breaking the collective data into smaller individual parts? Could you perhaps add more variables? Qtr by qtr: scoring, rushing, passing, defence stats, sacks, picks, turnovers - those sorts of things.
3. You say in your earlier post, KC vs Eagles that you would add 7 points to your KC total as they are playing at home, but then later say that home ground advantage has been factored into the model. Could you clarify please? The reason i ask is if home ground advantage has been factored in then the KC/Eagles game would score:

KC: 30
Eagles:32
Rather than 37/32.

{Afterthought****...Looking at early betting markets, the Eagles are slight underdogs at +2. Using this model (30/32) taking the Eagles on the road with the points would be the way to go from a betting perspective....

I would think this is a more accurate reflection of the game at face value. I don't mean to seem critical, far from it. This is an excellent idea, your model intrigues me and i would love to hear more.
Thanks.

__________________
I like Bing Lee.