Multiple Linear Regression - Estimated Regression Equation
werkeloosheid[t] = + 347.577586584537 + 1.04313174226083onderwijshoog[t] + 1.65856049191535onderwijsmiddelbaar[t] + 0.0963565106816862onderwijslaag[t] -0.0195889378182551autochtoon[t] + 0.0729893635415538allochtonen[t] -0.0354772937823839banen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)347.57758658453765.3577595.31813e-061e-06
onderwijshoog1.043131742260830.1522716.850500
onderwijsmiddelbaar1.658560491915350.10456715.861200
onderwijslaag0.09635651068168620.1628610.59160.5568070.278403
autochtoon-0.01958893781825510.107456-0.18230.8561010.428051
allochtonen0.07298936354155380.1284040.56840.5723350.286167
banen-0.03547729378238390.006974-5.08686e-063e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.993849707145605
R-squared0.987737240393404
Adjusted R-squared0.986235677992596
F-TEST (value)657.806322176237
F-TEST (DF numerator)6
F-TEST (DF denominator)49
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.70251469796598
Sum Squared Residuals3710.95434134739


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1277262.368655100414.6313448996001
2232235.670618236501-3.6706182365008
3256268.0952063494-12.0952063493997
4242252.600219865148-10.6002198651478
5302291.76962775757110.2303722424293
6282283.718045282497-1.71804528249739
7288280.0817683470737.91823165292671
8321322.617217475622-1.61721747562161
9316311.8499186771944.15008132280635
10396390.3326863594025.66731364059774
11362370.849843382683-8.84984338268318
12392378.4659353237813.5340646762196
13414406.8911352770397.10886472296133
14417422.86309524304-5.86309524303982
15476475.3801690874340.619830912565559
16488478.2806332164439.71936678355712
17489471.10375589741817.8962441025822
18467480.015318002414-13.0153180024139
19460466.27745841015-6.27745841014966
20482486.208359181485-4.20835918148514
21510506.2617477647583.73825223524173
22493479.88180691451413.1181930854857
23476488.993181058437-12.9931810584367
24448458.364739973191-10.364739973191
25410413.404979424846-3.40497942484599
26466464.58827651771.41172348229952
27417421.898914112557-4.8989141125568
28387383.4823869162833.51761308371668
29370373.180902887401-3.18090288740138
30344345.38371308293-1.38371308292987
31396400.346759168915-4.34675916891457
32349350.196795113377-1.19679511337652
33326334.775218203894-8.77521820389401
34303302.5003160320910.499683967908872
35300303.686656771706-3.68665677170593
36329326.7996876253582.20031237464205
37304293.75738843005410.2426115699457
38286293.35957889744-7.35957889744041
39281285.986295492933-4.98629549293344
40377374.9262157263092.07378427369086
41344348.224509694128-4.22450969412763
42369355.12510611263213.8748938873679
43390385.6497412868884.35025871311244
44406413.676413099491-7.6764130994909
45426420.2440728709035.75592712909724
46467452.78944295676114.2105570432391
47437428.0190581897018.98094181029916
48410400.9212315431869.07876845681388
49390390.103393803677-0.103393803677157
50418428.054721672489-10.054721672489
51398402.188240195469-4.1882401954689
52422437.632602233193-15.6326022331929
53439442.855440348637-3.85544034863745
54419426.249003300492-7.24900330049198
55484488.214874218207-4.21487421820737
56491483.8369218867587.16307811324212


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.815578847023450.36884230595310.18442115297655
110.7736456032058960.4527087935882080.226354396794104
120.6984093887038640.6031812225922710.301590611296136
130.6017597428443510.7964805143112980.398240257155649
140.4843217363624830.9686434727249660.515678263637517
150.4060221894811370.8120443789622740.593977810518863
160.3372208195594040.6744416391188080.662779180440596
170.4233040818683040.8466081637366080.576695918131696
180.5600929895266320.8798140209467370.439907010473368
190.5262310240243020.9475379519513970.473768975975698
200.6550297644376470.6899404711247060.344970235562353
210.6578762898966270.6842474202067460.342123710103373
220.8044663248201390.3910673503597220.195533675179861
230.948117631339990.1037647373200190.0518823686600095
240.9476271585304140.1047456829391720.0523728414695862
250.9225522205195120.1548955589609750.0774477794804877
260.8979595584578320.2040808830843360.102040441542168
270.8843872323561290.2312255352877410.11561276764387
280.8511440489583480.2977119020833050.148855951041652
290.8159391237851360.3681217524297290.184060876214864
300.7694577851387660.4610844297224680.230542214861234
310.7134862486726170.5730275026547660.286513751327383
320.6415090671953710.7169818656092580.358490932804629
330.6670693843686840.6658612312626320.332930615631316
340.6308901262930830.7382197474138330.369109873706917
350.548832045776450.90233590844710.45116795422355
360.4534795220811980.9069590441623970.546520477918802
370.4541143689795750.908228737959150.545885631020425
380.3789374253515180.7578748507030360.621062574648482
390.313544015366510.6270880307330210.68645598463349
400.2526535600638150.5053071201276310.747346439936185
410.2352824171943060.4705648343886120.764717582805694
420.3675740718393360.7351481436786720.632425928160664
430.7941925354895910.4116149290208180.205807464510409
440.9079548190108260.1840903619783480.092045180989174
450.8294967048093690.3410065903812620.170503295190631
460.9440279758382550.111944048323490.0559720241617448


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 level00OK