This is a reasonable way to go about doing statistical analysis:
Quote:
Originally Posted by V
I would try something like taking a random list of players, maybe 10% of the league over 4 years, and then I would give each of them a subjective gritty rank. Then I would create a table consisting of each of those players gritty score and every single variable that I thought contributed to grittiness. Then I would run a multiple regression model and refine it until it provided a statistically significant result with an acceptable correlation. Then I would use the model to predict the gritty score of all other players in the league. Then I would try to correlate a team's aggregate gritty score to its winning percentage. Then maybe I would be comfortable at least sharing my findings, even if it's total bunk.
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This, on the other hand, is just wanking with numbers:
Quote:
Originally Posted by ricardodw
Yelle 2005-6, first year stats were kept, 72 games 101 hits 56 blocked shots 42 take aways and only 18 Give aways.
Personification of a gritty player and totally born out by the stats.
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Verbum sap.