Season: 2006-2007 *** FT%: Pearson's product-moment correlation data: away.stat and home.stat t = 16.0611, df = 87, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.8006922 0.9092597 sample estimates: cor 0.864752 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.090081 -0.040532 0.005189 0.033706 0.097105 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.13679 0.03949 3.464 0.000828 *** home.stat 0.82564 0.05141 16.061 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.04669 on 87 degrees of freedom Multiple R-Squared: 0.7478, Adjusted R-squared: 0.7449 F-statistic: 258 on 1 and 87 DF, p-value: < 2.2e-16 *** 2FG%: Pearson's product-moment correlation data: away.stat and home.stat t = 14.2968, df = 275, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.5797220 0.7157401 sample estimates: cor 0.6529647 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.130978 -0.024960 -0.000899 0.023662 0.109058 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.14710 0.01841 7.989 3.75e-14 *** home.stat 0.62262 0.04355 14.297 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.03983 on 275 degrees of freedom Multiple R-Squared: 0.4264, Adjusted R-squared: 0.4243 F-statistic: 204.4 on 1 and 275 DF, p-value: < 2.2e-16 *** 3FG%: Pearson's product-moment correlation data: away.stat and home.stat t = 1.1732, df = 5, p-value = 0.2936 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.4436942 0.9020551 sample estimates: cor 0.4645993 Call: lm(formula = away.stat ~ home.stat) Residuals: 1 2 3 4 5 6 7 -0.042617 0.095051 -0.032737 0.022405 -0.040637 -0.008410 0.006945 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.1959 0.1815 1.079 0.330 home.stat 0.5254 0.4479 1.173 0.294 Residual standard error: 0.05328 on 5 degrees of freedom Multiple R-Squared: 0.2159, Adjusted R-squared: 0.05902 F-statistic: 1.376 on 1 and 5 DF, p-value: 0.2936 *** eFG%: Pearson's product-moment correlation data: away.stat and home.stat t = 12.6845, df = 289, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.5187069 0.6671298 sample estimates: cor 0.5980212 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.1654452 -0.0259028 0.0002049 0.0250558 0.1169648 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.16809 0.02037 8.252 5.59e-15 *** home.stat 0.58871 0.04641 12.684 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.04188 on 289 degrees of freedom Multiple R-Squared: 0.3576, Adjusted R-squared: 0.3554 F-statistic: 160.9 on 1 and 289 DF, p-value: < 2.2e-16 *** OR%: Pearson's product-moment correlation data: away.stat and home.stat t = 41.3482, df = 362, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.888628 0.924867 sample estimates: cor 0.9084395 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.043960 -0.008254 -0.001136 0.007286 0.068518 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.004859 0.001291 3.765 0.000194 *** home.stat 0.864814 0.020915 41.348 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01389 on 362 degrees of freedom Multiple R-Squared: 0.8253, Adjusted R-squared: 0.8248 F-statistic: 1710 on 1 and 362 DF, p-value: < 2.2e-16 *** DR%: Pearson's product-moment correlation data: away.stat and home.stat t = 42.7942, df = 364, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.894590 0.928884 sample estimates: cor 0.9133424 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.058078 -0.013312 -0.001117 0.010887 0.069578 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.011108 0.002874 3.865 0.000132 *** home.stat 0.899594 0.021021 42.794 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.02065 on 364 degrees of freedom Multiple R-Squared: 0.8342, Adjusted R-squared: 0.8337 F-statistic: 1831 on 1 and 364 DF, p-value: < 2.2e-16 *** TO/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 16.9941, df = 373, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.5994252 0.7140939 sample estimates: cor 0.6605952 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0482040 -0.0071743 -0.0009078 0.0075178 0.0441380 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.015754 0.002045 7.702 1.22e-13 *** home.stat 0.709081 0.041725 16.994 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01232 on 373 degrees of freedom Multiple R-Squared: 0.4364, Adjusted R-squared: 0.4349 F-statistic: 288.8 on 1 and 373 DF, p-value: < 2.2e-16 *** Fouled/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 34.1365, df = 373, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.8434299 0.8929258 sample estimates: cor 0.8703592 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0526104 -0.0082731 -0.0004584 0.0074911 0.0536495 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.008585 0.001747 4.915 1.33e-06 *** home.stat 0.852998 0.024988 34.137 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01433 on 373 degrees of freedom Multiple R-Squared: 0.7575, Adjusted R-squared: 0.7569 F-statistic: 1165 on 1 and 373 DF, p-value: < 2.2e-16 *** Steal/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 14.5761, df = 379, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.5308425 0.6600695 sample estimates: cor 0.5993468 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0303747 -0.0056218 -0.0001689 0.0044502 0.0451014 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.0110698 0.0009916 11.16 <2e-16 *** home.stat 0.5353891 0.0367306 14.58 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.008084 on 379 degrees of freedom Multiple R-Squared: 0.3592, Adjusted R-squared: 0.3575 F-statistic: 212.5 on 1 and 379 DF, p-value: < 2.2e-16 *** Foul/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 30.9935, df = 379, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.8157370 0.8730014 sample estimates: cor 0.8468052 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.051648 -0.009343 -0.001802 0.007354 0.077563 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.014489 0.002218 6.532 2.10e-10 *** home.stat 0.824297 0.026596 30.993 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01609 on 379 degrees of freedom Multiple R-Squared: 0.7171, Adjusted R-squared: 0.7163 F-statistic: 960.6 on 1 and 379 DF, p-value: < 2.2e-16 Season: 2007-2008 *** FT%: Pearson's product-moment correlation data: away.stat and home.stat t = 14.0762, df = 86, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.7582363 0.8890194 sample estimates: cor 0.8350647 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.119961 -0.023767 0.007337 0.024739 0.139478 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.16806 0.04318 3.892 0.000196 *** home.stat 0.78381 0.05568 14.076 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.04956 on 86 degrees of freedom Multiple R-Squared: 0.6973, Adjusted R-squared: 0.6938 F-statistic: 198.1 on 1 and 86 DF, p-value: < 2.2e-16 *** 2FG%: Pearson's product-moment correlation data: away.stat and home.stat t = 14.0666, df = 263, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.5805804 0.7189710 sample estimates: cor 0.655239 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.1505651 -0.0238796 0.0009819 0.0260914 0.0957685 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.11951 0.02129 5.614 5.02e-08 *** home.stat 0.68766 0.04889 14.067 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.04135 on 263 degrees of freedom Multiple R-Squared: 0.4293, Adjusted R-squared: 0.4272 F-statistic: 197.9 on 1 and 263 DF, p-value: < 2.2e-16 *** 3FG%: Pearson's product-moment correlation data: away.stat and home.stat t = 1.322, df = 75, p-value = 0.1902 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.07563708 0.36262111 sample estimates: cor 0.1508981 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -1.160e-01 -2.898e-02 -7.927e-05 2.710e-02 1.165e-01 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.31932 0.04312 7.406 1.6e-10 *** home.stat 0.14856 0.11238 1.322 0.190 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.04523 on 75 degrees of freedom Multiple R-Squared: 0.02277, Adjusted R-squared: 0.009741 F-statistic: 1.748 on 1 and 75 DF, p-value: 0.1902 *** eFG%: Pearson's product-moment correlation data: away.stat and home.stat t = 12.9664, df = 281, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.5332826 0.6799288 sample estimates: cor 0.6118365 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.157321 -0.025529 -0.002003 0.024122 0.110494 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.15412 0.02229 6.913 3.19e-11 *** home.stat 0.63324 0.04884 12.966 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.04219 on 281 degrees of freedom Multiple R-Squared: 0.3743, Adjusted R-squared: 0.3721 F-statistic: 168.1 on 1 and 281 DF, p-value: < 2.2e-16 *** OR%: Pearson's product-moment correlation data: away.stat and home.stat t = 38.6801, df = 367, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.8739800 0.9145393 sample estimates: cor 0.896115 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0731355 -0.0074912 -0.0008547 0.0075957 0.0881315 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.003822 0.001361 2.808 0.00525 ** home.stat 0.854213 0.022084 38.680 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01483 on 367 degrees of freedom Multiple R-Squared: 0.803, Adjusted R-squared: 0.8025 F-statistic: 1496 on 1 and 367 DF, p-value: < 2.2e-16 *** DR%: Pearson's product-moment correlation data: away.stat and home.stat t = 49.4691, df = 364, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.9183383 0.9451299 sample estimates: cor 0.9330153 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0655703 -0.0108496 0.0001412 0.0096310 0.0511069 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.010431 0.002516 4.146 4.21e-05 *** home.stat 0.909009 0.018375 49.469 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01752 on 364 degrees of freedom Multiple R-Squared: 0.8705, Adjusted R-squared: 0.8702 F-statistic: 2447 on 1 and 364 DF, p-value: < 2.2e-16 *** TO/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 17.7094, df = 375, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.6158343 0.7263517 sample estimates: cor 0.6748595 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0356337 -0.0066143 -0.0003815 0.0072897 0.0629951 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.015884 0.001824 8.709 <2e-16 *** home.stat 0.685904 0.038731 17.709 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01191 on 375 degrees of freedom Multiple R-Squared: 0.4554, Adjusted R-squared: 0.454 F-statistic: 313.6 on 1 and 375 DF, p-value: < 2.2e-16 *** Fouled/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 31.8955, df = 375, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.8250165 0.8798314 sample estimates: cor 0.8547902 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.041178 -0.009566 -0.001722 0.008879 0.066329 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.010544 0.001754 6.011 4.38e-09 *** home.stat 0.824916 0.025863 31.896 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01494 on 375 degrees of freedom Multiple R-Squared: 0.7307, Adjusted R-squared: 0.7299 F-statistic: 1017 on 1 and 375 DF, p-value: < 2.2e-16 *** Steal/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 14.0036, df = 375, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.515489 0.648596 sample estimates: cor 0.5859814 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0315337 -0.0053129 -0.0007486 0.0049777 0.0398776 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.009670 0.001097 8.816 <2e-16 *** home.stat 0.576079 0.041138 14.004 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.008513 on 375 degrees of freedom Multiple R-Squared: 0.3434, Adjusted R-squared: 0.3416 F-statistic: 196.1 on 1 and 375 DF, p-value: < 2.2e-16 *** Foul/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 32.2713, df = 375, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.8281921 0.8820765 sample estimates: cor 0.8574677 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0426674 -0.0080119 -0.0006951 0.0068350 0.0555990 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.012274 0.002087 5.881 9.02e-09 *** home.stat 0.839565 0.026016 32.271 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01452 on 375 degrees of freedom Multiple R-Squared: 0.7353, Adjusted R-squared: 0.7345 F-statistic: 1041 on 1 and 375 DF, p-value: < 2.2e-16 Season: 2008-2009 *** FT%: Pearson's product-moment correlation data: away.stat and home.stat t = 12.4036, df = 77, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.7263665 0.8788377 sample estimates: cor 0.8163631 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.1828136 -0.0254832 -0.0004206 0.0240902 0.1131160 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.08555 0.05703 1.50 0.138 home.stat 0.89291 0.07199 12.40 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.04847 on 77 degrees of freedom Multiple R-Squared: 0.6664, Adjusted R-squared: 0.6621 F-statistic: 153.8 on 1 and 77 DF, p-value: < 2.2e-16 *** 2FG%: Pearson's product-moment correlation data: away.stat and home.stat t = 12.4033, df = 254, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.5315995 0.6851813 sample estimates: cor 0.6141726 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.140505 -0.022519 0.001626 0.026429 0.136909 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.13711 0.02287 5.994 7e-09 *** home.stat 0.64552 0.05204 12.403 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.04248 on 254 degrees of freedom Multiple R-Squared: 0.3772, Adjusted R-squared: 0.3748 F-statistic: 153.8 on 1 and 254 DF, p-value: < 2.2e-16 *** 3FG%: Pearson's product-moment correlation data: away.stat and home.stat t = 2.994, df = 66, p-value = 0.003872 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.1170258 0.5397279 sample estimates: cor 0.3458023 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.086186 -0.031797 -0.001308 0.027885 0.134106 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.23233 0.04974 4.671 1.52e-05 *** home.stat 0.38416 0.12831 2.994 0.00387 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.04572 on 66 degrees of freedom Multiple R-Squared: 0.1196, Adjusted R-squared: 0.1062 F-statistic: 8.964 on 1 and 66 DF, p-value: 0.003872 *** eFG%: Pearson's product-moment correlation data: away.stat and home.stat t = 10.6996, df = 278, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.4514380 0.6181654 sample estimates: cor 0.5400794 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.1382963 -0.0234476 0.0004092 0.0242643 0.1151600 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.20749 0.02233 9.292 <2e-16 *** home.stat 0.51730 0.04835 10.700 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.04002 on 278 degrees of freedom Multiple R-Squared: 0.2917, Adjusted R-squared: 0.2891 F-statistic: 114.5 on 1 and 278 DF, p-value: < 2.2e-16 *** OR%: Pearson's product-moment correlation data: away.stat and home.stat t = 40.3505, df = 360, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.8843623 0.9220181 sample estimates: cor 0.9049465 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0450891 -0.0080182 -0.0009758 0.0069768 0.0835944 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.006492 0.001264 5.134 4.64e-07 *** home.stat 0.799765 0.019820 40.350 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.0142 on 360 degrees of freedom Multiple R-Squared: 0.8189, Adjusted R-squared: 0.8184 F-statistic: 1628 on 1 and 360 DF, p-value: < 2.2e-16 *** DR%: Pearson's product-moment correlation data: away.stat and home.stat t = 38.9263, df = 360, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.8770943 0.9170126 sample estimates: cor 0.8989028 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0987303 -0.0134516 -0.0006809 0.0128304 0.0896491 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.010966 0.003176 3.453 0.00062 *** home.stat 0.889270 0.022845 38.926 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.02237 on 360 degrees of freedom Multiple R-Squared: 0.808, Adjusted R-squared: 0.8075 F-statistic: 1515 on 1 and 360 DF, p-value: < 2.2e-16 *** TO/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 17.3857, df = 372, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.6095185 0.7219316 sample estimates: cor 0.6695412 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -3.955e-02 -6.794e-03 3.219e-05 6.477e-03 5.341e-02 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.014995 0.001849 8.11 7.43e-15 *** home.stat 0.689009 0.039631 17.39 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01187 on 372 degrees of freedom Multiple R-Squared: 0.4483, Adjusted R-squared: 0.4468 F-statistic: 302.3 on 1 and 372 DF, p-value: < 2.2e-16 *** Fouled/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 31.8922, df = 372, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.8259519 0.8806766 sample estimates: cor 0.8556886 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0587325 -0.0091765 -0.0008986 0.0099716 0.0505171 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.007278 0.001823 3.992 7.9e-05 *** home.stat 0.857906 0.026900 31.892 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01536 on 372 degrees of freedom Multiple R-Squared: 0.7322, Adjusted R-squared: 0.7315 F-statistic: 1017 on 1 and 372 DF, p-value: < 2.2e-16 *** Steal/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 13.0969, df = 374, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.4872337 0.6263535 sample estimates: cor 0.5607384 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.0228647 -0.0057122 -0.0004933 0.0038559 0.0673128 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.009455 0.001224 7.726 1.03e-13 *** home.stat 0.596120 0.045516 13.097 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.009499 on 374 degrees of freedom Multiple R-Squared: 0.3144, Adjusted R-squared: 0.3126 F-statistic: 171.5 on 1 and 374 DF, p-value: < 2.2e-16 *** Foul/Poss: Pearson's product-moment correlation data: away.stat and home.stat t = 25.5796, df = 374, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.7576721 0.8317207 sample estimates: cor 0.7976834 Call: lm(formula = away.stat ~ home.stat) Residuals: Min 1Q Median 3Q Max -0.061842 -0.009466 -0.001291 0.007869 0.133685 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.014708 0.002614 5.628 3.59e-08 *** home.stat 0.823482 0.032193 25.580 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.01894 on 374 degrees of freedom Multiple R-Squared: 0.6363, Adjusted R-squared: 0.6353 F-statistic: 654.3 on 1 and 374 DF, p-value: < 2.2e-16