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