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 11-20-2012, 04:23 AM #26 Czech Your Math Registered User     Join Date: Jan 2006 Location: bohemia Country: Posts: 4,845 vCash: 500 I added a variable (Xc), along the lines of what barney suggested, to capture the "concentration effect" of the top ~1-3 teams in GF. Xc is defined as the % of players in the top 1N who were on the top 0.1N teams in GF. More recently, variables which measure expansion (% of new teams in past 1 or 2 seasons) and the effect of non-Canadians on the top 1N scoring average. 1968-2012 ========= R^2 = .691 SEy = 2.48 (avg. Y = 89.9) Coeff: value, t-score B0 = 81.4, 65 Bn = (0.39), 17 Bh= (6.45), 7 Bi= 7.56, 9 Bg = (0.15), 1.4 Bp =2.47, 20 Bf = 420, 24 Ba = (118), 10 Bt = 1.93, 4 Bc = (9.66), 8 Be = 40.3, 19 Y: avg. simple adjusted points (gms, GPG, A/G) of top 1N players (N=number of teams) B0: Y-intercept (constant) Xn: Number of teams Xh: Fraction of new teams vs. previous season Xi: Fraction of new teams vs. two seasons previous Xg: League GPG Xp: PP opportunities/game Xf: Standard deviation of teams' GF, divided by avg. team GF Xa: Standard deviation of teams' GA, divided by avg. team GA Xt: Excess above avg. GF of top 0.2N teams in GF, divided by std dev of team GF Xc: Ratio of players in top 1N which were on teams in the top 0.1N in GF Xe: Fractional increase in avg. of top 1N due to non-Canadian players One important factor that may still be missing is the presence/absence of some of the very top Canadian players (i.e., Gretzky and/or Lemieux). It will probably take a lot of trial and error to determine how to best define the proper variable to capture this causality. Last edited by Czech Your Math; 02-24-2013 at 11:10 AM..