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February 10, 2005
Basketball Data - III
(I am working at getting the spacing right before I add the pictures and text.). log close log: T:\170\class3.log log type: text closed on: 10 Feb 2005, 12:24:21 ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ log: T:\170\class3.log log type: text opened on: 10 Feb 2005, 11:49:49 . regress diff at diff1 Source | SS df MS Number of obs = 16 -------------+------------------------------ F( 2, 13) = 11.82 Model | 781.717037 2 390.858518 Prob > F = 0.0012 Residual | 430.032963 13 33.0794587 R-squared = 0.6451 -------------+------------------------------ Adj R-squared = 0.5905 Total | 1211.75 15 80.7833333 Root MSE = 5.7515 ------------------------------------------------------------------------------ diff | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- at | -9.663939 2.927789 -3.30 0.006 -15.98904 -3.338835 diff1 | .5075395 .1758791 2.89 0.013 .1275758 .8875031 _cons | 5.514436 2.322087 2.37 0.034 .4978725 10.531 ------------------------------------------------------------------------------ . regress diff at Source | SS df MS Number of obs = 16 -------------+------------------------------ F( 1, 14) = 10.05 Model | 506.25 1 506.25 Prob > F = 0.0068 Residual | 705.5 14 50.3928571 R-squared = 0.4178 -------------+------------------------------ Adj R-squared = 0.3762 Total | 1211.75 15 80.7833333 Root MSE = 7.0988 ------------------------------------------------------------------------------ diff | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- at | -11.25 3.549396 -3.17 0.007 -18.8627 -3.637302 _cons | 8.75 2.509802 3.49 0.004 3.36701 14.13299 ------------------------------------------------------------------------------ . regress diff Source | SS df MS Number of obs = 16 -------------+------------------------------ F( 0, 15) = 0.00 Model | 0 0 . Prob > F = . Residual | 1211.75 15 80.7833333 R-squared = 0.0000 -------------+------------------------------ Adj R-squared = 0.0000 Total | 1211.75 15 80.7833333 Root MSE = 8.988 ------------------------------------------------------------------------------ diff | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- _cons | 3.125 2.246989 1.39 0.185 -1.664343 7.914343 ------------------------------------------------------------------------------ . regress diff at diff1 nc1 Source | SS df MS Number of obs = 16 -------------+------------------------------ F( 3, 12) = 8.15 Model | 812.972324 3 270.990775 Prob > F = 0.0032 Residual | 398.777676 12 33.231473 R-squared = 0.6709 -------------+------------------------------ Adj R-squared = 0.5886 Total | 1211.75 15 80.7833333 Root MSE = 5.7647 ------------------------------------------------------------------------------ diff | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- at | -9.956003 2.949921 -3.38 0.006 -16.38333 -3.528677 diff1 | .6272934 .2152286 2.91 0.013 .1583505 1.096236 nc1 | -.2132144 .2198516 -0.97 0.351 -.6922298 .265801 _cons | 13.73266 8.787856 1.56 0.144 -5.414432 32.87975 ------------------------------------------------------------------------------ . regress diff at nc1 opp1 Source | SS df MS Number of obs = 16 -------------+------------------------------ F( 3, 12) = 8.15 Model | 812.972324 3 270.990775 Prob > F = 0.0032 Residual | 398.777676 12 33.231473 R-squared = 0.6709 -------------+------------------------------ Adj R-squared = 0.5886 Total | 1211.75 15 80.7833333 Root MSE = 5.7647 ------------------------------------------------------------------------------ diff | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- at | -9.956003 2.949921 -3.38 0.006 -16.38333 -3.528677 nc1 | .414079 .2009048 2.06 0.062 -.0236549 .851813 opp1 | -.6272934 .2152286 -2.91 0.013 -1.096236 -.1583505 _cons | 13.73266 8.787856 1.56 0.144 -5.414432 32.87975 ------------------------------------------------------------------------------
Posted by bparke at February 10, 2005 10:37 PM