Multiple Linear Regression - Estimated Regression Equation
Postition[t] = -0.603703743713651 + 0.162678684314451starters[t] + 0.310458030411594last[t] + 0.0103730047865599since[t] + 0.352921408894487number[t] + 0.0209951325099079t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.6037037437136511.61545-0.37370.7094470.354723
starters0.1626786843144510.140571.15730.250030.125015
last0.3104580304115940.0913083.40010.0009830.000491
since0.01037300478655990.0068511.51410.1332910.066646
number0.3529214088944870.0832414.23985.1e-052.6e-05
t0.02099513250990790.0145211.44590.1514690.075735


Multiple Linear Regression - Regression Statistics
Multiple R0.596037812000243
R-squared0.355261073334037
Adjusted R-squared0.321680920903518
F-TEST (value)10.5794955537832
F-TEST (DF numerator)5
F-TEST (DF denominator)96
p-value4.12188936316227e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.5663951111926
Sum Squared Residuals1221.04071255729


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112.58608659631325-1.58608659631325
222.87459788844895-0.874597888448954
332.585613482850170.414386517149833
443.022739412310580.977260587689424
556.27766207778926-1.27766207778926
665.807733415017990.19226658498201
774.692794063841032.30720593615897
885.601728549766172.39827145023383
916.85091974253752-5.85091974253752
1025.83202664102896-3.83202664102896
1136.75133413174066-3.75133413174066
1243.382821034214250.617178965785751
1356.94340326045559-1.94340326045559
1465.500847733454750.499152266545252
1573.092885022849483.90711497715052
1684.278317148581763.72168285141824
1796.000709937508092.99929006249191
18109.170618769524960.829381230475045
19114.236601138909236.76339886109077
20126.199515756599755.80048424340025
2112.5354361465428-1.5354361465428
2224.74195321539373-2.74195321539373
2336.44262863541029-3.44262863541029
2446.94393531226336-2.94393531226336
2553.626315879333091.37368412066691
2664.077627549161491.92237245083851
2776.92199395282730.0780060471727008
2884.131933537641183.86806646235882
2997.658482671512881.34151732848712
3014.12855416650439-3.12855416650439
3125.50645583264948-3.50645583264948
3235.68596011496775-2.68596011496775
3346.10906684844643-2.10906684844643
3457.59725883166225-2.59725883166225
3569.6409755228205-3.64097552282049
3677.61388553657713-0.613885536577132
3783.880135306696364.11986469330364
3898.97348665564150.0265133443584941
39108.51612733721241.48387266278759
40117.523510828111113.47648917188889
41127.182871895269274.81712810473073
421310.90189056955382.09810943044621
43148.346835775028565.65316422497144
4416.65764616608414-5.65764616608414
4524.04295547293288-2.04295547293288
4633.63841816304238-0.638418163042382
4747.57266780775133-3.57266780775133
4855.93854139790914-0.93854139790914
4964.352467276418321.64753272358168
5078.68688580342273-1.68688580342273
5187.554788306833490.445211693166514
5297.444580568313281.55541943168672
53105.477380101578254.52261989842175
54118.867137454551372.13286254544864
551211.24295684326580.757043156734213
56137.676697243374715.32330275662529
5716.48265363556183-5.48265363556183
5827.29538970216315-5.29538970216315
59310.1274403823691-7.12744038236909
60411.1840325210131-7.18403252101313
61511.2272235147357-6.22722351473571
6266.3073189227228-0.307318922722801
6376.756760575643080.243239424356923
6489.8246428323162-1.8246428323162
65910.2958745559114-1.29587455591143
66108.926901421753161.07309857824684
67117.666442430378583.33355756962142
681213.662470067175-1.66247006717504
69138.992728195527674.00727180447233
70149.183576841969154.81642315803085
71158.730820699341026.26917930065898
721615.45627853974430.543721460255657
731710.54868967119136.4513103288087
741810.89342991690937.10657008309068
751912.15438715415756.84561284584252
7615.86399702821714-4.86399702821714
7725.13668596445518-3.13668596445517
7834.97364184266552-1.97364184266552
7946.72909636462483-2.72909636462483
8057.83900337884123-2.83900337884123
8168.83383598106881-2.83383598106881
8277.76778924878036-0.767789248780358
83810.1743074865859-2.17430748658589
8496.230987897914342.76901210208566
85107.337248720935582.66275127906442
86117.558245022400083.44175497759992
87127.353708881464184.64629111853582
881310.05836942622142.94163057377856
8915.03509158526759-4.03509158526759
9027.70360977459563-5.70360977459563
9136.41421373368612-3.41421373368612
9246.038852719482-2.038852719482
93510.81306213102-5.81306213101999
9469.4201896631272-3.42018966312719
9577.5806185779923-0.580618577992299
9686.883455169253361.11654483074664
97911.6335403756362-2.63354037563623
98108.342647277954421.65735272204558
99117.43996649215763.5600335078424
100129.893565658977842.10643434102216
1011311.09391563826331.90608436173669
1021411.60389184738112.39610815261891


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
91.57180728852578e-473.14361457705156e-471
103.93870366397687e-637.87740732795375e-631
111.14380453574025e-782.28760907148051e-781
123.98484071634166e-957.96968143268332e-951
131.8843187198294e-1073.7686374396588e-1071
146.89424775519183e-1211.37884955103837e-1201
151.49761744202907e-1382.99523488405813e-1381
162.43609504946008e-1554.87219009892016e-1551
172.76359697851623e-1645.52719395703245e-1641
186.088111807342e-1831.2176223614684e-1821
194.38423432809635e-2018.7684686561927e-2011
209.87002194058952e-2171.9740043881179e-2161
210.1748690828926520.3497381657853050.825130917107348
220.2879957833199530.5759915666399060.712004216680047
230.3065390797434960.6130781594869930.693460920256504
240.2806677168496430.5613354336992860.719332283150357
250.2217281971300220.4434563942600440.778271802869978
260.1779943356809610.3559886713619220.822005664319039
270.1345850971192840.2691701942385670.865414902880716
280.12270325959940.2454065191988010.8772967404006
290.09651804572408180.1930360914481640.903481954275918
300.1572618066482170.3145236132964340.842738193351783
310.1681878135990710.3363756271981420.83181218640093
320.152158456481830.304316912963660.84784154351817
330.1232477469364770.2464954938729540.876752253063523
340.1011217618799260.2022435237598530.898878238120074
350.0840776949875670.1681553899751340.915922305012433
360.06296069133439090.1259213826687820.93703930866561
370.06949827916845380.1389965583369080.930501720831546
380.05552945662265440.1110589132453090.944470543377346
390.04570176382317320.09140352764634630.954298236176827
400.049359328307570.098718656615140.95064067169243
410.06917937258372960.1383587451674590.93082062741627
420.06470120061543450.1294024012308690.935298799384566
430.0989568643872950.197913728774590.901043135612705
440.1773301615103360.3546603230206710.822669838489664
450.1638298379871420.3276596759742840.836170162012858
460.1345108442199370.2690216884398740.865489155780063
470.1332693964134410.2665387928268810.86673060358656
480.1043688193672020.2087376387344050.895631180632798
490.08762093806220890.1752418761244180.912379061937791
500.06873673239833120.1374734647966620.931263267601669
510.05173469965754930.1034693993150990.94826530034245
520.04096529073060160.08193058146120320.959034709269398
530.05547249529388510.110944990587770.944527504706115
540.05074585045857620.1014917009171520.949254149541424
550.04730959417034880.09461918834069750.95269040582965
560.1914619680158550.382923936031710.808538031984145
570.2290520365787880.4581040731575750.770947963421212
580.25756417566020.5151283513203990.7424358243398
590.3639453523782960.7278907047565920.636054647621704
600.4210590686629650.842118137325930.578940931337035
610.5505994455035280.8988011089929440.449400554496472
620.5064108940483080.9871782119033850.493589105951692
630.4667109016807130.9334218033614270.533289098319287
640.4511024201482150.902204840296430.548897579851785
650.4555680054323820.9111360108647630.544431994567618
660.4369551244245030.8739102488490070.563044875575497
670.4196356338513680.8392712677027350.580364366148632
680.4827147423964440.9654294847928890.517285257603556
690.4699485255711840.9398970511423680.530051474428816
700.4624432151531120.9248864303062240.537556784846888
710.4808544742600060.9617089485200120.519145525739994
720.5375018473493350.924996305301330.462498152650665
730.5417755102862850.9164489794274310.458224489713715
740.5708881631489550.858223673702090.429111836851045
7511.22027020086253e-3016.10135100431266e-302
7613.21008248997008e-2801.60504124498504e-280
7718.01781461923734e-2684.00890730961867e-268
7815.71301031733854e-2732.85650515866927e-273
7912.83413109987659e-2591.41706554993829e-259
8012.98652411702093e-2321.49326205851047e-232
8113.22908405731299e-2171.6145420286565e-217
8218.06074562615027e-2074.03037281307513e-207
8314.40941413512038e-1862.20470706756019e-186
8411.87549703198455e-1779.37748515992274e-178
8513.0669965342982e-1551.5334982671491e-155
8611.62951554010327e-1458.14757770051634e-146
8714.4441042194752e-1392.2220521097376e-139
8811.25965073606402e-1176.29825368032009e-118
8913.94837735300578e-1051.97418867650289e-105
9011.29366600790676e-876.4683300395338e-88
9115.33125328368102e-732.66562664184051e-73
9213.07142248092887e-611.53571124046443e-61
9311.79752503440215e-468.98762517201076e-47


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level310.364705882352941NOK
5% type I error level310.364705882352941NOK
10% type I error level350.411764705882353NOK