Carry out the suggestion in Modeling Issue 2. That is, use a weighted sum of squared prediction errors, where the weight on any game played k weeks ago is 0.95k . You can assume that the ratings are...

Carry out the suggestion in Modeling Issue 2. That is, use a weighted sum of squared prediction errors, where the weight on any game played k weeks ago is 0.95k . You can assume that the ratings are being made right after the final regular games of the season (in week 17), so for these final games, k = 0. Discuss how the ratings change when early-season games are discounted heavily.