Multiple Linear Regression - Estimated Regression Equation
Maandelijkse_sterftes[t] = + 9560.57142857143 + 960.314153439153M1[t] -474.578042328042M2[t] -79.7202380952381M3[t] -813.362433862434M4[t] -1014.12962962963M5[t] -1276.39682539683M6[t] -1100.03902116402M7[t] -1335.68121693122M8[t] -1585.19841269841M9[t] -1011.21560846561M10[t] -970.857804232804M11[t] -4.23280423280423t + 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
M1960.314153439153203.6179554.71631e-055e-06
M2-474.578042328042203.500867-2.33210.022120.01106
M3-79.7202380952381203.394873-0.39190.6961010.348051
M4-813.362433862434203.299989-4.00080.0001366.8e-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-4.232804232804231.506629-2.80950.0061870.003094


Multiple Linear Regression - Regression Statistics
Multiple R0.880761246189551
R-squared0.775740372789371
Adjusted R-squared0.743317294156509
F-TEST (value)23.9255618373984
F-TEST (DF numerator)12
F-TEST (DF denominator)83
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation405.884762262811
Sum Squared Residuals13673622.5396825


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11200810516.65277777781491.34722222222
291699077.5277777777891.4722222222213
387889468.15277777778-680.152777777778
484178730.27777777778-313.277777777778
582478525.27777777778-278.277777777778
681978258.77777777778-61.7777777777779
782368430.90277777778-194.902777777778
882538191.0277777777861.9722222222228
977337937.27777777778-204.277777777777
1083668507.02777777778-141.027777777778
1186268543.1527777777882.847222222222
1288639509.77777777778-646.777777777778
131010210465.8591269841-363.859126984126
1484639026.73412698413-563.734126984127
1591149417.35912698413-303.359126984126
1685638679.48412698413-116.484126984127
1788728474.48412698413397.515873015873
1883018207.9841269841393.0158730158733
1983018380.10912698413-79.1091269841267
2082788140.23412698413137.765873015873
2177367886.48412698413-150.484126984127
2279738456.23412698413-483.234126984127
2382688492.35912698413-224.359126984127
2494769458.9841269841317.0158730158733
251110010415.0654761905684.934523809525
2689628975.94047619048-13.9404761904759
2791739366.56547619048-193.565476190476
2887388628.69047619048109.309523809524
2984598423.6904761904835.309523809524
3080788157.19047619048-79.190476190476
3184118329.3154761904881.6845238095241
3282918089.44047619048201.559523809524
3378107835.69047619048-25.6904761904761
3486168405.44047619048210.559523809524
3583128441.56547619048-129.565476190476
3696929408.19047619048283.809523809524
37991110364.2718253968-453.271825396825
3889158925.14682539683-10.1468253968252
3994529315.77182539683136.228174603175
4091128577.89682539683534.103174603175
4184728372.8968253968399.1031746031747
4282308106.39682539683123.603174603175
4383848278.52182539683105.478174603175
4486258038.64682539683586.353174603174
4582217784.89682539683436.103174603175
4686498354.64682539683294.353174603175
4786258390.77182539683234.228174603175
48104439357.396825396831085.60317460317
491035710313.478174603243.5218253968265
5085868874.35317460317-288.353174603174
5188929264.97817460317-372.978174603174
5283298527.10317460317-198.103174603175
5381018322.10317460317-221.103174603174
5479228055.60317460317-133.603174603175
5581208227.72817460317-107.728174603174
5678387987.85317460317-149.853174603175
5777357734.103174603170.896825396825312
5884068303.85317460317102.146825396825
5982098339.97817460317-130.978174603175
6094519306.60317460317144.396825396825
611004110262.6845238095-221.684523809523
6294118823.55952380952587.440476190476
63104059214.184523809521190.81547619048
6484678476.30952380952-9.30952380952388
6584648271.30952380952192.690476190476
6681028004.8095238095297.1904761904762
6776278176.93452380952-549.934523809524
6875137937.05952380952-424.059523809524
6975107683.30952380952-173.309523809524
7082918253.0595238095237.9404761904762
7180648289.18452380952-225.184523809524
7293839255.80952380952127.190476190476
73970610211.8908730159-505.890873015872
7485798772.76587301587-193.765873015873
7594749163.39087301587310.609126984127
7683188425.51587301587-107.515873015873
7782138220.51587301587-7.51587301587315
7880597954.01587301587104.984126984127
7991118126.14087301587984.859126984127
8077087886.26587301587-178.265873015873
8176807632.5158730158747.4841269841267
8280148202.26587301587-188.265873015873
8380078238.39087301587-231.390873015873
8487189205.01587301587-487.015873015873
85948610161.0972222222-675.097222222221
8691138721.97222222222391.027777777778
8790259112.59722222222-87.5972222222225
8884768374.72222222222101.277777777778
8979528169.72222222222-217.722222222222
9077597903.22222222222-144.222222222223
9178358075.34722222222-240.347222222222
9276007835.47222222222-235.472222222222
9376517581.7222222222269.2777777777774
9483198151.47222222222167.527777777778
9588128187.59722222222624.402777777777
9686309154.22222222222-524.222222222223


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.9870200141847270.02595997163054650.0129799858152732
170.9932154756383890.01356904872322190.00678452436161095
180.9871333518408690.02573329631826240.0128666481591312
190.9767902721992480.04641945560150440.0232097278007522
200.9594030096638490.08119398067230160.0405969903361508
210.9354202044054380.1291595911891230.0645797955945617
220.9201473653960610.1597052692078770.0798526346039387
230.8884825892708370.2230348214583260.111517410729163
240.9009655652563970.1980688694872060.0990344347436029
250.90582650657650.1883469868470.0941734934235
260.8759877516938590.2480244966122830.124012248306141
270.8605860320196950.2788279359606110.139413967980305
280.8228777827474570.3542444345050860.177122217252543
290.7674497659790290.4651004680419430.232550234020971
300.7124055184530410.5751889630939190.287594481546959
310.6500217084276140.6999565831447710.349978291572386
320.5786926518213660.8426146963572670.421307348178634
330.5126373851158910.9747252297682180.487362614884109
340.4848099847516770.9696199695033550.515190015248323
350.4323147136910890.8646294273821790.567685286308911
360.4170191033670980.8340382067341950.582980896632902
370.6568587337257670.6862825325484660.343141266274233
380.603283016180020.793433967639960.39671698381998
390.5892885097674170.8214229804651660.410711490232583
400.5977951473916310.8044097052167380.402204852608369
410.5301899595042820.9396200809914360.469810040495718
420.4608798269553260.9217596539106520.539120173044674
430.3941804757562020.7883609515124030.605819524243798
440.4108588572669920.8217177145339840.589141142733008
450.3897490729268090.7794981458536180.610250927073191
460.3400589923204760.6801179846409530.659941007679524
470.2847275397655350.569455079531070.715272460234465
480.6277138923070880.7445722153858250.372286107692912
490.6649382710412860.6701234579174280.335061728958714
500.675602422558380.6487951548832390.32439757744162
510.7619573373239320.4760853253521370.238042662676068
520.7414211116603410.5171577766793180.258578888339659
530.722945628407210.5541087431855810.27705437159279
540.6844361158012440.6311277683975130.315563884198756
550.6420586901257110.7158826197485770.357941309874289
560.6094835762807460.7810328474385090.390516423719254
570.543681355337260.9126372893254790.45631864466274
580.4730491065436280.9460982130872550.526950893456372
590.4315820804518540.8631641609037080.568417919548146
600.3842567633777460.7685135267554920.615743236622254
610.375022519268560.7500450385371210.62497748073144
620.3971446601651460.7942893203302920.602855339834854
630.7663055738847870.4673888522304260.233694426115213
640.705251327541580.5894973449168390.294748672458419
650.6657681928451120.6684636143097750.334231807154888
660.6004336950298210.7991326099403590.399566304970179
670.7542783813596060.4914432372807880.245721618640394
680.7311383347314160.5377233305371670.268861665268584
690.681162108107320.6376757837853590.31883789189268
700.5979369681615670.8041260636768660.402063031838433
710.6017243044882290.7965513910235420.398275695511771
720.6045650795246470.7908698409507050.395434920475353
730.5534950762812110.8930098474375790.446504923718789
740.5612801550858840.8774396898282320.438719844914116
750.4929241626094890.9858483252189770.507075837390511
760.401914899464650.80382979892930.59808510053535
770.2982534340515720.5965068681031440.701746565948428
780.2083212614708940.4166425229417880.791678738529106
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 level50.0769230769230769OK