Multiple Linear Regression - Estimated Regression Equation
Sterftes[t] = + 9560.57142857143 + 960.314153439156M1[t] -474.578042328042M2[t] -79.720238095238M3[t] -813.362433862434M4[t] -1014.12962962963M5[t] -1276.39682539682M6[t] -1100.03902116402M7[t] -1335.68121693122M8[t] -1585.19841269841M9[t] -1011.21560846561M10[t] -970.857804232804M11[t] -4.23280423280424t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9560.57142857143164.96036257.956800
M1960.314153439156203.6179554.71631e-055e-06
M2-474.578042328042203.500867-2.33210.022120.01106
M3-79.720238095238203.394873-0.39190.6961010.348051
M4-813.362433862434203.299989-4.00080.0001366.8e-05
M5-1014.12962962963203.216231-4.99043e-062e-06
M6-1276.39682539682203.143613-6.283200
M7-1100.03902116402203.082147-5.41671e-060
M8-1335.68121693122203.031842-6.578700
M9-1585.19841269841202.992708-7.809100
M10-1011.21560846561202.96475-4.98223e-062e-06
M11-970.857804232804202.947974-4.78387e-064e-06
t-4.232804232804241.506629-2.80950.0061870.003094


Multiple Linear Regression - Regression Statistics
Multiple R0.88076124618955
R-squared0.77574037278937
Adjusted R-squared0.743317294156507
F-TEST (value)23.9255618373982
F-TEST (DF numerator)12
F-TEST (DF denominator)83
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation405.884762262812
Sum Squared Residuals13673622.5396826


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11200810516.65277777781491.34722222224
291699077.5277777777891.4722222222211
387889468.15277777778-680.152777777779
484178730.27777777778-313.277777777778
582478525.27777777778-278.277777777778
681978258.77777777778-61.7777777777784
782368430.90277777778-194.902777777778
882538191.0277777777861.9722222222228
977337937.27777777778-204.277777777778
1083668507.02777777778-141.027777777778
1186268543.1527777777882.8472222222216
1288639509.77777777778-646.777777777778
131010210465.8591269841-363.85912698413
1484639026.73412698413-563.734126984127
1591149417.35912698413-303.359126984127
1685638679.48412698413-116.484126984127
1788728474.48412698413397.515873015873
1883018207.9841269841393.0158730158728
1983018380.10912698413-79.1091269841272
2082788140.23412698413137.765873015873
2177367886.48412698413-150.484126984127
2279738456.23412698413-483.234126984127
2382688492.35912698413-224.359126984127
2494769458.9841269841317.0158730158734
251110010415.0654761905684.934523809521
2689628975.94047619048-13.9404761904762
2791739366.56547619048-193.565476190476
2887388628.69047619048109.309523809524
2984598423.6904761904835.3095238095236
3080788157.19047619048-79.1904761904763
3184118329.3154761904881.6845238095237
3282918089.44047619048201.559523809523
3378107835.69047619048-25.6904761904763
3486168405.44047619048210.559523809524
3583128441.56547619048-129.565476190476
3696929408.19047619048283.809523809524
37991110364.2718253968-453.271825396828
3889158925.14682539683-10.1468253968253
3994529315.77182539683136.228174603175
4091128577.89682539683534.103174603174
4184728372.8968253968399.1031746031745
4282308106.39682539683123.603174603175
4383848278.52182539683105.478174603175
4486258038.64682539683586.353174603174
4582217784.89682539683436.103174603175
4686498354.64682539683294.353174603175
4786258390.77182539683234.228174603175
48104439357.396825396831085.60317460318
491035710313.478174603243.5218253968229
5085868874.35317460317-288.353174603175
5188929264.97817460317-372.978174603174
5283298527.10317460317-198.103174603175
5381018322.10317460317-221.103174603174
5479228055.60317460317-133.603174603174
5581208227.72817460317-107.728174603174
5678387987.85317460317-149.853174603175
5777357734.103174603170.896825396825444
5884068303.85317460317102.146825396825
5982098339.97817460317-130.978174603174
6094519306.60317460317144.396825396826
611004110262.6845238095-221.684523809526
6294118823.55952380952587.440476190476
63104059214.184523809521190.81547619048
6484678476.30952380952-9.3095238095236
6584648271.30952380952192.690476190476
6681028004.8095238095297.1904761904765
6776278176.93452380952-549.934523809524
6875137937.05952380952-424.059523809524
6975107683.30952380952-173.309523809524
7082918253.0595238095237.9404761904763
7180648289.18452380952-225.184523809524
7293839255.80952380952127.190476190477
73970610211.8908730159-505.890873015875
7485798772.76587301587-193.765873015873
7594749163.39087301587310.609126984127
7683188425.51587301587-107.515873015873
7782138220.51587301587-7.51587301587285
7880597954.01587301587104.984126984127
7991118126.14087301587984.859126984127
8077087886.26587301587-178.265873015873
8176807632.5158730158747.4841269841272
8280148202.26587301587-188.265873015873
8380078238.39087301587-231.390873015873
8487189205.01587301587-487.015873015873
85948610161.0972222222-675.097222222224
8691138721.97222222222391.027777777778
8790259112.59722222222-87.5972222222218
8884768374.72222222222101.277777777778
8979528169.72222222222-217.722222222222
9077597903.22222222222-144.222222222222
9178358075.34722222222-240.347222222222
9276007835.47222222222-235.472222222222
9376517581.7222222222269.2777777777781
9483198151.47222222222167.527777777778
9588128187.59722222222624.402777777778
9686309154.22222222222-524.222222222222


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.9870200141847270.02595997163054640.0129799858152732
170.993215475638390.01356904872322190.00678452436161094
180.987133351840870.02573329631826190.0128666481591310
190.9767902721992470.04641945560150530.0232097278007527
200.9594030096638490.08119398067230250.0405969903361513
210.9354202044054380.1291595911891240.0645797955945622
220.9201473653960580.1597052692078840.079852634603942
230.8884825892708370.2230348214583260.111517410729163
240.90096556525640.1980688694872010.0990344347436005
250.90582650657650.1883469868470010.0941734934235006
260.8759877516938590.2480244966122830.124012248306141
270.8605860320196940.2788279359606110.139413967980306
280.8228777827474510.3542444345050980.177122217252549
290.7674497659790280.4651004680419430.232550234020972
300.712405518453040.575188963093920.28759448154696
310.6500217084276140.6999565831447720.349978291572386
320.5786926518213560.8426146963572890.421307348178644
330.512637385115890.974725229768220.48736261488411
340.4848099847516640.9696199695033280.515190015248336
350.4323147136910890.8646294273821780.567685286308911
360.4170191033670960.8340382067341910.582980896632905
370.6568587337257690.6862825325484620.343141266274231
380.603283016180020.793433967639960.39671698381998
390.5892885097674150.821422980465170.410711490232585
400.5977951473916310.8044097052167380.402204852608369
410.5301899595042820.9396200809914360.469810040495718
420.4608798269553280.9217596539106550.539120173044672
430.3941804757562000.7883609515124010.6058195242438
440.4108588572669930.8217177145339860.589141142733007
450.3897490729268090.7794981458536180.610250927073191
460.3400589923204770.6801179846409540.659941007679523
470.2847275397655350.5694550795310690.715272460234465
480.6277138923070950.7445722153858090.372286107692905
490.6649382710412860.6701234579174280.335061728958714
500.6756024225583810.6487951548832380.324397577441619
510.7619573373239320.4760853253521360.238042662676068
520.7414211116603410.5171577766793180.258578888339659
530.722945628407210.554108743185580.27705437159279
540.6844361158012450.631127768397510.315563884198755
550.6420586901257120.7158826197485760.357941309874288
560.6094835762807450.781032847438510.390516423719255
570.5436813553372610.9126372893254790.456318644662739
580.4730491065436280.9460982130872560.526950893456372
590.4315820804518670.8631641609037340.568417919548133
600.3842567633777330.7685135267554660.615743236622267
610.3750225192685600.7500450385371210.62497748073144
620.3971446601651530.7942893203303070.602855339834847
630.7663055738847790.4673888522304430.233694426115221
640.7052513275415830.5894973449168340.294748672458417
650.6657681928451190.6684636143097620.334231807154881
660.6004336950298140.7991326099403720.399566304970186
670.7542783813596070.4914432372807860.245721618640393
680.7311383347314160.5377233305371690.268861665268584
690.681162108107320.637675783785360.31883789189268
700.5979369681615660.8041260636768690.402063031838434
710.6017243044882230.7965513910235530.398275695511777
720.6045650795246540.7908698409506920.395434920475346
730.553495076281210.893009847437580.44650492371879
740.5612801550858870.8774396898282260.438719844914113
750.4929241626094830.9858483252189660.507075837390517
760.4019148994646480.8038297989292960.598085100535352
770.2982534340515730.5965068681031470.701746565948427
780.2083212614708870.4166425229417730.791678738529113
790.778663567912520.442672864174960.22133643208748
800.6886517893577940.6226964212844120.311348210642206


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level40.0615384615384615NOK
10% type I error level50.076923076923077OK