Multiple Linear Regression - Estimated Regression Equation
Werkloosheid[t] = + 163.536249738331 -14.1801697936507Rente[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)163.5362497383316.16196426.539600
Rente-14.18016979365072.110015-6.720400


Multiple Linear Regression - Regression Statistics
Multiple R0.626235410899096
R-squared0.392170789863960
Adjusted R-squared0.383487515433445
F-TEST (value)45.1639289996166
F-TEST (DF numerator)1
F-TEST (DF denominator)70
p-value4.02302191560011e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation15.0961419653212
Sum Squared Residuals15952.5451565993


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1127124.5407828057912.45921719420949
2123124.540782805792-1.54078280579150
3118127.376816764522-9.37681676452159
4114128.085825254204-14.0858252542041
5108128.085825254204-20.0858252542041
6111133.757893171664-22.7578931716644
7151135.17591015102915.8240898489705
8159135.17591015102923.8240898489705
9158135.17591015102922.8240898489705
10148135.17591015102912.8240898489705
11138135.1759101510292.82408984897055
12137135.1759101510291.82408984897055
13136135.1759101510290.824089848970548
14133135.175910151029-2.17591015102945
15126135.175910151029-9.17591015102945
16120135.175910151029-15.1759101510295
17114135.175910151029-21.1759101510295
18116135.175910151029-19.1759101510295
19153135.17591015102917.8240898489705
20162135.17591015102926.8240898489705
21161135.17591015102925.8240898489705
22149135.17591015102913.8240898489705
23139135.1759101510293.82408984897055
24135135.175910151029-0.175910151029452
25130135.175910151029-5.17591015102945
26127135.175910151029-8.17591015102945
27122135.175910151029-13.1759101510295
28117135.175910151029-18.1759101510295
29112135.175910151029-23.1759101510295
30113135.175910151029-22.1759101510295
31149135.17591015102913.8240898489705
32157135.17591015102921.8240898489705
33157135.17591015102921.8240898489705
34147135.17591015102911.8240898489705
35137135.1759101510291.82408984897055
36132132.198074494363-0.198074494362813
37125131.630867702617-6.63086770261679
38123131.630867702617-8.63086770261678
39117128.794833743887-11.7948337438867
40114128.085825254204-14.0858252542041
41111128.085825254204-17.0858252542041
42112126.100601483093-14.1006014830930
43144124.54078280579119.4592171942085
44150121.98835224293428.0116477570657
45149120.99574035737928.0042596426212
46134118.58511149245815.4148885075418
47123117.4506979089665.54930209103388
48116115.4654741378550.534525862144974
49117113.9056554605533.09434453944655
50111113.905655460553-2.90565546055345
51105111.778629991506-6.77862999150586
52102110.360613012141-8.36061301214079
5395110.360613012141-15.3606130121408
5493108.233587543093-15.2335875430932
55124106.81557056372817.1844294362719
56130106.81557056372823.1844294362719
57124106.81557056372817.1844294362719
58115106.8155705637288.18442943627188
59106106.815570563728-0.81557056372812
60105106.815570563728-1.81557056372812
61105106.815570563728-1.81557056372812
62101106.815570563728-5.81557056372812
6395106.815570563728-11.8155705637281
6493106.815570563728-13.8155705637281
6584106.815570563728-22.8155705637281
6687106.815570563728-19.8155705637281
67116104.26314000087111.736859999129
68120103.27052811531516.7294718846845
69117103.27052811531513.7294718846845
70109107.2409756575381.75902434246236
71105115.040069044046-10.0400690440455
72107124.540782805791-17.5407828057915


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.01745966699195740.03491933398391470.982540333008043
60.02732049136298270.05464098272596550.972679508637017
70.5565552997542420.8868894004915170.443444700245758
80.7062826383949990.5874347232100020.293717361605001
90.7132457539608660.5735084920782670.286754246039134
100.6253720344806530.7492559310386940.374627965519347
110.5383594109704830.9232811780590350.461640589029517
120.4525329537605070.9050659075210130.547467046239493
130.3721084843061310.7442169686122610.62789151569387
140.3098001811710930.6196003623421870.690199818828907
150.2987600931923120.5975201863846240.701239906807688
160.3388938464217050.677787692843410.661106153578295
170.4418870159680240.8837740319360480.558112984031976
180.4919224540037530.9838449080075060.508077545996247
190.5200704090707530.9598591818584930.479929590929247
200.6574989055255150.685002188948970.342501094474485
210.7514701693023790.4970596613952420.248529830697621
220.7280957634615770.5438084730768470.271904236538423
230.6666340859149140.6667318281701730.333365914085086
240.6011197251513180.7977605496973630.398880274848682
250.5458238073801410.9083523852397180.454176192619859
260.5032660812406380.9934678375187240.496733918759362
270.4946220815621880.9892441631243760.505377918437812
280.5328847909495350.934230418100930.467115209050465
290.6308210042747480.7383579914505050.369178995725252
300.7126370477887150.5747259044225710.287362952211285
310.6933231967991570.6133536064016850.306676803200843
320.7433729433538770.5132541132922470.256627056646123
330.7964795575105220.4070408849789570.203520442489478
340.7823899808798470.4352200382403060.217610019120153
350.7334905737726320.5330188524547360.266509426227368
360.6767457689567880.6465084620864240.323254231043212
370.6154896188920880.7690207622158240.384510381107912
380.5563058323644140.8873883352711710.443694167635586
390.5056434513248220.9887130973503550.494356548675178
400.472423630544830.944847261089660.52757636945517
410.4806163660874180.9612327321748350.519383633912582
420.4891326946012440.9782653892024880.510867305398756
430.5689685361154010.8620629277691980.431031463884599
440.7518135297818340.4963729404363310.248186470218166
450.899238911909550.2015221761809010.100761088090451
460.9295205325265580.1409589349468840.0704794674734419
470.926617781446720.1467644371065590.0733822185532793
480.9096902821020120.1806194357959760.090309717897988
490.8950686390468440.2098627219063120.104931360953156
500.8654307442963670.2691385114072670.134569255703633
510.8228212161132060.3543575677735890.177178783886794
520.7743016437202870.4513967125594250.225698356279713
530.7531939637379250.493612072524150.246806036262075
540.7495792770731050.500841445853790.250420722926895
550.774313726844160.4513725463116790.225686273155840
560.8739946662706650.252010667458670.126005333729335
570.9103096384148220.1793807231703550.0896903615851776
580.8938791157812930.2122417684374140.106120884218707
590.8427741728891440.3144516542217130.157225827110856
600.7744472226522870.4511055546954270.225552777347713
610.6888294742559190.6223410514881630.311170525744081
620.591428608579670.817142782840660.40857139142033
630.5247170592641830.9505658814716350.475282940735817
640.4870661719292570.9741323438585140.512933828070743
650.7085683329945920.5828633340108150.291431667005408
660.9900359955914660.01992800881706750.00996400440853373
670.9613409051755290.0773181896489430.0386590948244715


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0317460317460317OK
10% type I error level40.0634920634920635OK