Multiple Linear Regression - Estimated Regression Equation
Sterftes[t] = + 9560.57142857143 + 960.314153439157M1[t] -474.578042328042M2[t] -79.7202380952388M3[t] -813.362433862435M4[t] -1014.12962962963M5[t] -1276.39682539683M6[t] -1100.03902116402M7[t] -1335.68121693122M8[t] -1585.19841269841M9[t] -1011.21560846561M10[t] -970.857804232804M11[t] -4.23280423280425t + 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
M1960.314153439157203.6179554.71631e-055e-06
M2-474.578042328042203.500867-2.33210.022120.01106
M3-79.7202380952388203.394873-0.39190.6961010.348051
M4-813.362433862435203.299989-4.00080.0001366.8e-05
M5-1014.12962962963203.216231-4.99043e-062e-06
M6-1276.39682539683203.143613-6.283200
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-4.232804232804251.506629-2.80950.0061870.003094


Multiple Linear Regression - Regression Statistics
Multiple R0.88076124618955
R-squared0.775740372789369
Adjusted R-squared0.743317294156507
F-TEST (value)23.9255618373981
F-TEST (DF numerator)12
F-TEST (DF denominator)83
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation405.884762262813
Sum Squared Residuals13673622.5396826


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11200810516.65277777771491.34722222225
291699077.5277777777891.4722222222215
387889468.15277777778-680.152777777779
484178730.27777777778-313.277777777776
582478525.27777777778-278.277777777776
681978258.77777777778-61.7777777777776
782368430.90277777778-194.902777777778
882538191.0277777777861.9722222222178
977337937.27777777778-204.277777777777
1083668507.02777777778-141.027777777779
1186268543.1527777777882.8472222222203
1288639509.77777777778-646.777777777778
131010210465.8591269841-363.859126984132
1484639026.73412698413-563.734126984127
1591149417.35912698413-303.359126984128
1685638679.48412698413-116.484126984127
1788728474.48412698413397.515873015872
1883018207.9841269841393.0158730158723
1983018380.10912698413-79.1091269841275
2082788140.23412698413137.765873015873
2177367886.48412698413-150.484126984128
2279738456.23412698413-483.234126984128
2382688492.35912698413-224.359126984127
2494769458.9841269841317.0158730158728
251110010415.0654761905684.93452380952
2689628975.94047619048-13.9404761904765
2791739366.56547619048-193.565476190477
2887388628.69047619048109.309523809524
2984598423.6904761904835.3095238095232
3080788157.19047619048-79.1904761904767
3184118329.3154761904881.6845238095236
3282918089.44047619048201.559523809524
3378107835.69047619048-25.6904761904767
3486168405.44047619048210.559523809524
3583128441.56547619048-129.565476190476
3696929408.19047619048283.809523809523
37991110364.2718253968-453.271825396830
3889158925.14682539683-10.1468253968256
3994529315.77182539683136.228174603174
4091128577.89682539683534.103174603175
4184728372.8968253968399.1031746031742
4282308106.39682539683123.603174603174
4383848278.52182539683105.478174603175
4486258038.64682539683586.353174603175
4582217784.89682539683436.103174603174
4686498354.64682539683294.353174603175
4786258390.77182539683234.228174603175
48104439357.396825396831085.60317460317
491035710313.478174603243.5218253968213
5085868874.35317460317-288.353174603174
5188929264.97817460317-372.978174603175
5283298527.10317460317-198.103174603174
5381018322.10317460317-221.103174603175
5479228055.60317460317-133.603174603175
5581208227.72817460317-107.728174603174
5678387987.85317460317-149.853174603174
5777357734.103174603170.896825396825363
5884068303.85317460317102.146825396826
5982098339.97817460317-130.978174603174
6094519306.60317460317144.396825396826
611004110262.6845238095-221.684523809528
6294118823.55952380952587.440476190477
63104059214.184523809521190.81547619048
6484678476.30952380952-9.30952380952334
6584648271.30952380952192.690476190476
6681028004.8095238095297.1904761904763
6776278176.93452380952-549.934523809524
6875137937.05952380952-424.059523809523
6975107683.30952380952-173.309523809524
7082918253.0595238095237.9404761904766
7180648289.18452380952-225.184523809523
7293839255.80952380952127.190476190477
73970610211.8908730159-505.890873015876
7485798772.76587301587-193.765873015872
7594749163.39087301587310.609126984127
7683188425.51587301587-107.515873015872
7782138220.51587301587-7.51587301587273
7880597954.01587301587104.984126984127
7991118126.14087301587984.859126984127
8077087886.26587301587-178.265873015872
8176807632.5158730158747.4841269841275
8280148202.26587301587-188.265873015872
8380078238.39087301587-231.390873015872
8487189205.01587301587-487.015873015872
85948610161.0972222222-675.097222222226
8691138721.97222222222391.027777777779
8790259112.59722222222-87.5972222222217
8884768374.72222222222101.277777777779
8979528169.72222222222-217.722222222222
9077597903.22222222222-144.222222222222
9178358075.34722222222-240.347222222221
9276007835.47222222222-235.472222222221
9376517581.7222222222269.2777777777785
9483198151.47222222222167.527777777779
9588128187.59722222222624.402777777779
9686309154.22222222222-524.222222222221


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.9870200141847270.02595997163054660.0129799858152733
170.993215475638390.01356904872322130.00678452436161064
180.9871333518408690.02573329631826230.0128666481591311
190.9767902721992460.04641945560150790.0232097278007540
200.9594030096638490.08119398067230240.0405969903361512
210.9354202044054380.1291595911891240.0645797955945622
220.920147365396060.1597052692078810.0798526346039403
230.8884825892708350.2230348214583310.111517410729165
240.9009655652563970.1980688694872060.0990344347436028
250.9058265065764990.1883469868470020.0941734934235012
260.8759877516938590.2480244966122830.124012248306141
270.8605860320196960.2788279359606070.139413967980304
280.8228777827474520.3542444345050960.177122217252548
290.767449765979030.4651004680419390.232550234020969
300.7124055184530480.5751889630939040.287594481546952
310.6500217084276160.6999565831447680.349978291572384
320.5786926518213520.8426146963572950.421307348178648
330.5126373851158930.9747252297682140.487362614884107
340.4848099847516590.9696199695033170.515190015248341
350.4323147136910710.8646294273821420.567685286308929
360.4170191033671060.8340382067342110.582980896632894
370.656858733725770.686282532548460.34314126627423
380.603283016180020.7934339676399590.396716983819979
390.5892885097674190.8214229804651620.410711490232581
400.5977951473916310.8044097052167380.402204852608369
410.5301899595042770.9396200809914460.469810040495723
420.4608798269553290.9217596539106580.539120173044671
430.394180475756210.788360951512420.60581952424379
440.4108588572669780.8217177145339560.589141142733022
450.3897490729268060.7794981458536120.610250927073194
460.3400589923204750.680117984640950.659941007679525
470.2847275397655280.5694550795310560.715272460234472
480.6277138923070930.7445722153858130.372286107692907
490.6649382710412870.6701234579174270.335061728958713
500.675602422558380.6487951548832410.324397577441620
510.7619573373239290.4760853253521410.238042662676070
520.7414211116603350.5171577766793290.258578888339665
530.7229456284072110.5541087431855780.277054371592789
540.6844361158012430.6311277683975140.315563884198757
550.6420586901257020.7158826197485960.357941309874298
560.6094835762807380.7810328474385230.390516423719262
570.5436813553372590.9126372893254820.456318644662741
580.4730491065436270.9460982130872540.526950893456373
590.4315820804518530.8631641609037070.568417919548146
600.3842567633777380.7685135267554760.615743236622262
610.3750225192685560.7500450385371130.624977480731444
620.3971446601651670.7942893203303340.602855339834833
630.7663055738847820.4673888522304360.233694426115218
640.7052513275415820.5894973449168360.294748672458418
650.665768192845120.668463614309760.33423180715488
660.6004336950298150.7991326099403690.399566304970185
670.7542783813596040.4914432372807910.245721618640396
680.7311383347314140.5377233305371720.268861665268586
690.6811621081073210.6376757837853570.318837891892679
700.5979369681615640.8041260636768730.402063031838436
710.6017243044882210.7965513910235580.398275695511779
720.6045650795246410.7908698409507170.395434920475359
730.5534950762812190.8930098474375630.446504923718781
740.5612801550858940.8774396898282130.438719844914106
750.4929241626094860.9858483252189710.507075837390514
760.401914899464650.80382979892930.59808510053535
770.2982534340515790.5965068681031590.70174656594842
780.2083212614708970.4166425229417940.791678738529103
790.7786635679125140.4426728641749710.221336432087486
800.6886517893577950.6226964212844090.311348210642205


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 level50.0769230769230769OK