Normal Linear Regression Dependent variable: Days Lost Independent variables: Strikes Student t(18) Prob. Days Lost = 5724.09390 + 4046.01081 * Strikes 1.57 0.1342 Variance = 12131377544.000000 Normal Linear Regression Dependent variable: Days Lost Independent variables: Strikes Strikers Student t(17) Prob. Days Lost = 9915.56280 - 804.53157 * Strikes 0.31 0.7599 + 18.95866 * Strikers 3.19 0.0053 Variance = 8029763266.000000 Normal Linear Regression Dependent variable: Days Lost Independent variables: Strikers Student t(18) Prob. Days Lost = -644.39849 + 17.87753 * Strikers 3.81 0.0013 Variance = 7626680002.000000 Observed Fitted Residual 1 0.00000 -429.86813 429.86811 2 2735.00007 6113.30776 -3378.30781 3 1132.00004 8115.59097 -6983.59121 4 24411.00060 42458.32544 -18047.32580 5 196227.00500 269073.88513 -72846.88138 6 8202.00030 58887.77466 -50685.77661 7 26523.00060 58852.02075 -32329.02111 8 412709.01013 253377.42688 159331.59875 9 35541.00122 56760.34888 -21219.34924 10 47330.00122 26600.95568 20729.04748 11 55083.00122 90799.16653 -35716.16724 12 62909.00122 132793.48938 -69884.49075 13 12550.00030 161790.84875 -149240.85657 14 8717.00030 31445.76623 -22728.76720 15 90759.00247 123050.22903 -32291.22814 16 50665.00122 108211.87747 -57546.87817 17 147636.00500 95000.38528 52635.62622 18 332065.01013 123407.77591 208657.22375 19 167683.00500 19968.39318 147714.61438 20 13595.00030 30194.34045 -16599.34142 Normal Linear Regression Dependent variable: Days Lost Independent variables: Strikers Offensive Student t(17) Prob. Days Lost = 42443.12622 + 25.20525 * Strikers 4.51 0.0003 - 11404.31280 * Offensive 2.06 0.0548 Variance = 8029763266.000000 Observed Fitted Residual 1 0.00000 31341.27795 -31341.27892 2 2735.00007 -5050.85195 7785.85171 3 1132.00004 31985.07482 -30853.07580 4 24411.00060 574.17971 23836.82092 5 196227.00500 274458.72888 -78231.72513 6 8202.00030 23737.80529 -15535.80547 7 26523.00060 92113.27591 -65590.27982 8 412709.01013 263732.82263 148976.19250 9 35541.00122 -24878.87658 60419.87622 10 47330.00122 -21782.88439 69112.88528 11 55083.00122 57324.87622 -2241.87519 12 62909.00122 127936.33060 -65027.33130 13 12550.00030 111797.68997 -99247.69388 14 8717.00030 19260.68029 -10543.68047 15 90759.00247 159816.72375 -69057.72513 16 50665.00122 116087.73685 -65422.73755 17 147636.00500 131673.98938 15962.01592 18 332065.01013 160320.81750 171744.19250 19 167683.00500 71504.78372 96178.22122 20 13595.00030 74517.87747 -60922.87817 Normal Linear Regression Dependent variable: Days Lost Independent variables: Strikers Offensive Defensive Student t(16) Prob. Days Lost = 21519.40295 + 23.88693 * Strikers 4.17 0.0007 - 12579.06573 * Offensive 2.23 0.0405 + 2723.81257 * Defensive 1.01 0.3254 Variance = 6447951554.000000 Normal Linear Regression Dependent variable: Days Lost Independent variables: Strikers Offensive Student t(17) Prob. Days Lost = 42443.12622 + 25.20525 * Strikers 4.51 0.0003 - 11404.31280 * Offensive 2.06 0.0548 Variance = 6459080386.000000 Normal Linear Regression Dependent variable: Days Lost Independent variables: Strikers Offensive Length Student t(16) Prob. Days Lost = -13191.10235 + 16.73219 * Strikers 4.44 0.0004 - 9791.53545 * Offensive 2.88 0.0109 + 371.75324 * Length 5.41 0.0001 Variance = 2425723744.000000 Observed Fitted Residual 1 0.00000 -15718.53790 15718.53741 2 2735.00007 -42069.14380 44804.14185 3 1132.00004 -17140.33752 18272.33654 4 24411.00060 -22311.28283 46722.28247 5 196227.00500 174040.25500 22186.75060 6 8202.00030 15370.78936 -7168.78945 7 26523.00060 77060.56497 -50537.56567 8 412709.01013 352787.04138 59921.96997 9 35541.00122 39642.09497 -4101.09414 10 47330.00122 10431.67999 36898.32153 11 55083.00122 107566.34622 -52483.34692 12 62909.00122 109449.12747 -46540.12817 13 12550.00030 82054.76028 -69504.76419 14 8717.00030 -11794.02813 20511.02795 15 90759.00247 167005.95813 -76246.95950 16 50665.00122 67734.85403 -17069.85314 17 147636.00500 86231.38528 61404.62622 18 332065.01013 270688.01013 61377.00122 19 167683.00500 206847.86438 -39164.86255 20 13595.00030 38594.67310 -24999.67345 Normal Linear Regression Dependent variable: D L Independent variables: Strikers Offensive Length Student t(16) Prob. D L = -131.91108 + 0.16732 * Strikers 4.44 0.0004 - 97.91531 * Offensive 2.88 0.0109 + 3.71753 * Length 5.41 0.0001 Variance = 242572.411255 Observed Fitted Residual 1 0.00000 -157.18541 157.18540 2 27.35000 -420.69131 448.04130 3 11.32000 -171.40336 182.72336 4 244.11000 -223.11256 467.22254 5 1962.27006 1740.40177 221.86829 6 82.02000 153.70813 -71.68815 7 265.23002 770.60561 -505.37563 8 4127.08999 3527.86995 599.22023 9 355.41001 396.42140 -41.01139 10 473.30000 104.31726 368.98274 11 550.83003 1075.66361 -524.83367 12 629.09004 1094.49125 -465.40127 13 125.50000 820.54756 -695.04759 14 87.17000 -117.94016 205.11016 15 907.59004 1670.05948 -762.46953 16 506.65000 677.34828 -170.69832 17 1476.36002 862.31362 614.04640 18 3320.64997 2706.88020 613.76979 19 1676.82999 2068.47883 -391.64895 20 135.95000 385.94663 -249.99665 Normal Linear Regression Dependent variable: Strikes Independent variables: Strikes-1 1 observations with missing value code. Student t(17) Prob. Strikes = 8.68050 + 0.57641 * Strikes-1 2.96 0.0088 Variance = 59.619245 Observed Fitted Residual 1 3.00000 2 7.00000 10.40973 -3.40973 3 13.00000 12.71537 0.28463 4 21.00000 16.17383 4.82618 5 23.00000 20.78510 2.21490 6 30.00000 21.93792 8.06208 7 20.00000 25.97279 -5.97279 8 36.00000 20.20869 15.79131 9 34.00000 29.43124 4.56876 10 22.00000 28.27842 -6.27842 11 25.00000 21.36151 3.63849 12 33.00000 23.09074 9.90926 13 20.00000 27.70202 -7.70201 14 11.00000 20.20869 -9.20869 15 19.00000 15.02101 3.97899 16 20.00000 19.63228 0.36772 17 25.00000 20.20869 4.79131 18 19.00000 23.09074 -4.09074 19 6.00000 19.63228 -13.63228 20 4.00000 12.13896 -8.13896 Normal Linear Regression Dependent variable: Strikes Independent variables: Strikes-1 Strikes-2 2 observations with missing value code. Student t(15) Prob. Strikes = 11.54606 + 0.61083 * Strikes-1 2.32 0.0351 - 0.16112 * Strikes-2 0.64 0.5348 Variance = 64.798701