Challenge #103: Just another game?

[PhilipMannering]

There is evidence supporting the fact the fact that the Superbowl is less predictable. I used a linear regression model, but I wouldn't mind knowing which models I should use under which circumstances. Solution attached,

Spoiler

[Ilías]

Fly Eagles Fly!

[Ilías]

Since the Patriots have no defense to speak of I just went with the offensive variables. Even the predicted score would not have been enough for the Pats.

Fly Eagles Fly!

[JosephSerpis]

Challenge Completed

[EstherB47]

Standard predictive analysis here. While I'd love to be snarky and claim that I only used offensive stats because the Pats have no defense, the real reason is in the p-values. They were statistically significant.

I explored whether removing some "outlier" games had any impact - and they resulted in worse p-values, so I went with all of the data excepting the superbowl games for modelling.

Oh, and FLY EAGLES FLY. Though I am actually a Giants fan 😉  

[MMehdi]

Challenge #103 resolved

Spoiler

I used the Association analysis tool to select 3 predictor variables.
Based in the difference between :
-  The predicted scored points VS actual points  in regular season matches
-  The predicted scored points VS actual points  in Super Bowl matches

I found that the predictions were pretty accurate for regular matches but not for Super Bowl ones, I guess it is because of the whole motivation and adrenaline levels behind those special games !




Workflow (#103)

[SeanAdams]

Used a few different kinds of predictive models - linear regression seemed to do best.

[jasperlch]

Solution attached. Thanks!

[LordNeilLord]

I don't use predictive tools at all so this was a bit of a struggle for me but I got there in the end

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