Multiple Linear Regression - Estimated Regression Equation
Werkloosheidsgraad[t] = + 9.269949293332 -0.0310552406551667Bruto_index[t] + 1.31095273927571M1[t] + 1.35066091204492M2[t] + 1.20032534441868M3[t] + 1.12589558524283M4[t] + 0.888242031291867M5[t] + 1.17467204343869M6[t] + 1.37414313157033M7[t] + 1.51609863895437M8[t] + 1.25880627240331M9[t] + 1.03020937323569M10[t] + 1.76359193412662M11[t] -0.0142593329365101t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.2699492933320.77148912.015700
Bruto_index-0.03105524065516670.014272-2.1760.0346150.017307
M11.310952739275710.7130431.83850.0723070.036154
M21.350660912044920.9059391.49090.142670.071335
M31.200325344418680.8789481.36560.1785530.089276
M41.125895585242830.7543451.49250.1422390.071119
M50.8882420312918670.540411.64360.1069240.053462
M61.174672043438690.5904351.98950.0524830.026241
M71.374143131570330.6861842.00260.0510090.025505
M81.516098638954370.7901511.91870.0611010.030551
M91.258806272403310.7694451.6360.1085210.054261
M101.030209373235690.7523641.36930.1774140.088707
M111.763591934126620.8891031.98360.0531630.026582
t-0.01425933293651010.004558-3.12840.0030160.001508


Multiple Linear Regression - Regression Statistics
Multiple R0.566302299484839
R-squared0.320698294401816
Adjusted R-squared0.132806333278914
F-TEST (value)1.70682285971801
F-TEST (DF numerator)13
F-TEST (DF denominator)47
p-value0.0907637807319794
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.617352823253533
Sum Squared Residuals17.9128518938181


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.17.681610842806230.418389157193768
27.77.247442120942450.452557879057546
37.57.213279231131410.286720768868591
47.67.509675123143120.0903248768568812
57.87.608686455659020.191313544340977
67.88.12619353604516-0.326193536045158
77.87.96979764403345-0.169797644033449
87.57.87389608576378-0.373896085763784
97.57.273158835331440.226841164668557
107.17.34085500977898-0.240855009778979
117.57.497878381874880.00212161812511804
127.57.72930118520104-0.229301185201038
137.67.488760179109490.111239820890511
147.77.085646697900880.614353302099116
157.77.259553920479450.440446079520546
167.97.260925026267080.63907497373292
178.17.540056754582950.559943245417045
188.27.806016385662240.393983614337762
198.27.764524884074640.435475115925355
208.27.292854913877460.907145086122535
217.97.480920776086350.419079223913646
227.36.911984517102970.388015482897026
236.97.41682658453674-0.516826584536744
246.67.53955604556982-0.939556045569818
256.77.3052260876093-0.605226087609301
266.96.92385127485931-0.0238512748593132
2776.830683427803450.16931657219655
287.16.813421389197980.286578610802023
297.27.33167847055863-0.131678470558633
307.17.3709348448552-0.2709348448552
316.97.3667096320538-0.466709632053806
3277.02236614854281-0.0223661485428098
336.87.18869334229308-0.388693342293083
346.46.7874553828476-0.387455382847603
356.77.21155382457794-0.51155382457794
366.67.16969051013863-0.56969051013863
376.46.99125998535741-0.591259985357413
386.36.90490995883151-0.60490995883151
396.26.36454664634125-0.164546646341246
406.56.73858063999087-0.238580639990872
416.87.32205372672738-0.52205372672738
426.86.9793306409654-0.179330640965396
436.46.94405018750884-0.544050187508835
446.17.49099211080112-1.39099211080112
455.86.48964225591713-0.689642255917129
466.16.61323786354397-0.513237863543966
477.27.11186888284670.0881311171532975
487.36.818458119100540.481541880899457
496.97.18970535391578-0.289705353915776
506.16.53814994746584-0.438149947465839
515.86.53193677424444-0.731936774244441
526.26.97739782140095-0.777397821400951
537.17.19752459247201-0.0975245924720088
547.77.317524592472010.382475407527992
557.97.154917652329270.745082347670735
567.76.819890741014820.880109258985182
577.46.967584790371990.432415209628008
587.56.746467226726480.753532773273522
5987.061872326163730.938127673836268
608.16.842994139989971.25700586001003
6187.043437551201790.956562448798212


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.07092888986278850.1418577797255770.929071110137212
180.03822948357091250.0764589671418250.961770516429088
190.01736076081286970.03472152162573930.98263923918713
200.01037482079612620.02074964159225240.989625179203874
210.009492928490611060.01898585698122210.990507071509389
220.004827688405324230.009655376810648460.995172311594676
230.01099553897161410.02199107794322810.989004461028386
240.03628836894853730.07257673789707450.963711631051463
250.1068588976887850.2137177953775690.893141102311215
260.1159369188032680.2318738376065350.884063081196732
270.1363959723897910.2727919447795820.86360402761021
280.1820115768059280.3640231536118560.817988423194072
290.1841282558819760.3682565117639520.815871744118024
300.1662843274637670.3325686549275330.833715672536233
310.1564582202772140.3129164405544270.843541779722786
320.1771208686782320.3542417373564650.822879131321768
330.2306264022370390.4612528044740770.769373597762961
340.2116090784821840.4232181569643670.788390921517816
350.1490961608423210.2981923216846420.850903839157679
360.09813258709734860.1962651741946970.901867412902651
370.06506125229955970.1301225045991190.93493874770044
380.0929436263185010.1858872526370020.907056373681499
390.2058411001425620.4116822002851240.794158899857438
400.5576279179878960.8847441640242080.442372082012104
410.763046216293020.473907567413960.23695378370698
420.6985754040054710.6028491919890580.301424595994529
430.6005155401734930.7989689196530140.399484459826507
440.852855832374710.2942883352505780.147144167625289


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0357142857142857NOK
5% type I error level50.178571428571429NOK
10% type I error level70.25NOK