Re: Predicting Wins and Losses From a Single Player Stat
- --- In APBR_analysis@y..., "thedawgsareout" <kpelton08@h...> wrote:
> The Seattle perspective:in
> that Payton is a rather consistent scorer. I don't believe he was
> single-digits more than once or twice this season, but his peakagainst
> scoring is not as high as many players. He was only over 30 a
> handful of times, with a real outlier in his 43-point effort
> the Clippers.Yup. Lowest was 11 points (twice), highest was 32 (3 times) rexcept
for that outlier. GP's standard deviation in scoring was 5.427
points, which is pretty low.
looking at a number of extraneous variables, such as the combination
> of teammates and the team's success.multiple regression on win/loss might help--put minutes played or
margin of victory/loss as first predictor and then the stat of
interest such as points scored as second predictor and see what you
get. But I'm not sure how to carry it out properly since the
predictor variables are likely to be correlated, which tends to
invalidate the result. Anybody have any ideas?
>Any chance of turning it into a
> guest column at SonicsCentral?I dunno. If you get a draft of a guest column within the next week,
then I guess you'll know....