Multiple Linear Regression - Estimated Regression Equation
werkeloosheid[t] = + 336.949180150454 + 0.736472661110573onderwijshoog[t] + 1.76602209451291onderwijsmiddelbaar[t] + 0.102367884585266onderwijslaag[t] -0.0111015113268626autochtoon[t] + 0.0445219197107632allochtonen[t] -0.0319311171143291banen[t] -0.0755745369985274vacatures[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)336.94918015045463.7726875.28363e-062e-06
onderwijshoog0.7364726611105730.2154053.4190.0012910.000645
onderwijsmiddelbaar1.766022094512910.11550615.289500
onderwijslaag0.1023678845852660.1583660.64640.5210980.260549
autochtoon-0.01110151132686260.10456-0.10620.9158870.457943
allochtonen0.04452191971076320.1256780.35430.72470.36235
banen-0.03193111711432910.007018-4.553.7e-051.8e-05
vacatures-0.07557453699852740.038562-1.95980.0558350.027918


Multiple Linear Regression - Regression Statistics
Multiple R0.994306693815321
R-squared0.988645801365954
Adjusted R-squared0.986989980731822
F-TEST (value)597.073004760793
F-TEST (DF numerator)7
F-TEST (DF denominator)48
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.46070052981864
Sum Squared Residuals3436.00576585313


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1277262.67117328251714.3288267174835
2232234.216947143084-2.216947143084
3256264.414425306019-8.41442530601893
4242251.607663097246-9.6076630972456
5302288.71030678377213.2896932162279
6282282.133672738722-0.133672738721927
7288279.9474994580138.05250054198733
8321321.726923751628-0.726923751627706
9316310.4755720081465.52442799185441
10396391.0547188008024.94528119919807
11362373.913726409347-11.9137264093474
12392379.83808759015212.1619124098483
13414406.746833696577.25316630343043
14417426.155317070184-9.15531707018438
15476476.702934538316-0.702934538316347
16488478.1734903411179.82650965888271
17489472.0570542460516.9429457539504
18467477.639882947714-10.6398829477138
19460468.164841295283-8.16484129528346
20482486.912483152844-4.9124831528441
21510507.8197726147842.18022738521592
22493482.15479630304110.8452036969591
23476486.567289075646-10.5672890756458
24448456.077347138291-8.0773471382906
25410412.682238662241-2.68223866224131
26466461.8567566152794.14324338472146
27417418.220837407705-1.22083740770498
28387380.6020748672496.39792513275125
29370372.549708117529-2.54970811752872
30344343.2874409732980.712559026702197
31396398.34310014283-2.34310014282975
32349348.5588371631920.441162836807647
33326332.392011511122-6.39201151112188
34303299.8573457285263.14265427147443
35300302.474704214896-2.47470421489565
36329330.035219005775-1.03521900577517
37304299.8205642171614.17943578283875
38286296.079983996019-10.0799839960194
39281289.030818993534-8.03081899353386
40377378.025829956105-1.02582995610506
41344352.96530568811-8.96530568811045
42369358.37191330521610.6280866947836
43390385.3661181082294.63388189177148
44406416.694937824331-10.694937824331
45426419.2381076434686.76189235653238
46467452.23978038217714.760219617823
47437429.8829343920857.11706560791477
48410400.9876984700549.01230152994613
49390391.607044701927-1.60704470192719
50418428.173345414142-10.1733454141417
51398402.182631374534-4.18263137453356
52422434.426680667794-12.426680667794
53439441.802676984208-2.8026769842076
54419425.87770218013-6.87770218013029
55484487.985446536424-3.98544653642443
56491483.4974459654257.50255403457484


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.6554809536609270.6890380926781460.344519046339073
120.5385933912949530.9228132174100940.461406608705047
130.4707904570382590.9415809140765180.529209542961741
140.3491525644327760.6983051288655530.650847435567224
150.2747318866919720.5494637733839440.725268113308028
160.405202072862280.8104041457245590.59479792713772
170.5542953028306710.8914093943386570.445704697169329
180.5196836979490620.9606326041018770.480316302050938
190.4645888304614910.9291776609229820.535411169538509
200.5537747088429270.8924505823141450.446225291157073
210.5549971996341760.8900056007316480.445002800365824
220.6035367300662050.792926539867590.396463269933795
230.7347924353119590.5304151293760820.265207564688041
240.7483998385413590.5032003229172820.251600161458641
250.7051792111196240.5896415777607520.294820788880376
260.6461982034786610.7076035930426780.353801796521339
270.5672738154311730.8654523691376550.432726184568827
280.5049648410379090.9900703179241820.495035158962091
290.5162329476652020.9675341046695970.483767052334798
300.4487438135009780.8974876270019570.551256186499022
310.3690009530678020.7380019061356030.630999046932198
320.2876278704593220.5752557409186440.712372129540678
330.2831354177167270.5662708354334530.716864582283273
340.3127507030018040.6255014060036070.687249296998196
350.2878517544503210.5757035089006420.712148245549679
360.336803418852720.673606837705440.66319658114728
370.3456013132075910.6912026264151820.654398686792409
380.322406850292780.644813700585560.67759314970722
390.2823260778670360.5646521557340720.717673922132964
400.2741710424723210.5483420849446410.72582895752768
410.2225186068112620.4450372136225250.777481393188738
420.3303180515629690.6606361031259380.669681948437031
430.7582759681351130.4834480637297740.241724031864887
440.969649202071740.06070159585651930.0303507979282596
450.9098812304782970.1802375390434060.0901187695217032


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level10.0285714285714286OK