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# mas project notes - Regression Analysis: Win % versus PPG,...

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Regression Analysis: Win % versus PPG, RPG, SPG, BPG, A/TO, FG%, FT% The regression equation is Win % = - 5.80 - 0.0166 PPG + 0.0425 RPG + 0.0012 SPG + 0.0384 BPG + 0.323 A/TO + 9.49 FG% + 1.51 FT% Predictor Coef SE Coef T P Constant -5.798 1.114 -5.21 0.000 PPG -0.016641 0.006943 -2.40 0.025 RPG 0.04254 0.01543 2.76 0.012 SPG 0.00119 0.02586 0.05 0.964 BPG 0.03845 0.04092 0.94 0.358 A/TO 0.3233 0.1712 1.89 0.072 FG% 9.494 1.836 5.17 0.000 FT% 1.5117 0.8989 1.68 0.107 S = 0.102521 R-Sq = 69.1% R-Sq(adj) = 59.3% Analysis of Variance Source DF SS MS F P Regression 7 0.51733 0.07390 7.03 0.000 Residual Error 22 0.23123 0.01051 Total 29 0.74856 Source DF Seq SS PPG 1 0.06201 RPG 1 0.00085 SPG 1 0.00012 BPG 1 0.00066 A/TO 1 0.17186 FG% 1 0.25211 FT% 1 0.02973 Unusual Observations Obs PPG Win % Fit SE Fit Residual St Resid 5 99 0.2680 0.4812 0.0319 -0.2132 -2.19R 14 99 0.6340 0.4203 0.0587 0.2137 2.54R R denotes an observation with a large standardized residual. Durbin-Watson statistic = 2.11911

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## This note was uploaded on 01/18/2012 for the course MAS 284 taught by Professor Mrs.nicholadies during the Spring '10 term at Syracuse.

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mas project notes - Regression Analysis: Win % versus PPG,...

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