Multiple Linear Regression - Estimated Regression Equation
Werkloosheid[t] = + 11.3794637275710 + 0.0370832973532882consumerconfidence[t] + 0.0573711763273573HICP[t] -0.6802095474807OLO12[t] -0.00027370821644188Bel20[t] + 0.0121067180406699t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11.37946372757100.71125715.999100
consumerconfidence0.03708329735328820.0106073.49630.0009520.000476
HICP0.05737117632735730.0484941.18310.241970.120985
OLO12-0.68020954748070.200528-3.39210.0013040.000652
Bel20-0.000273708216441880.000124-2.21140.0312580.015629
t0.01210671804066990.0053992.24240.0290670.014533


Multiple Linear Regression - Regression Statistics
Multiple R0.811558918487442
R-squared0.658627878176506
Adjusted R-squared0.627019348378035
F-TEST (value)20.8370298263082
F-TEST (DF numerator)5
F-TEST (DF denominator)54
p-value1.54869450597062e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.404246268307375
Sum Squared Residuals8.82441245378367


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.38.044255365742510.255744634257492
28.78.465330000449760.234669999550237
38.98.719591863534030.180408136465973
48.98.91090151320876-0.0109015132087555
58.18.2204383223081-0.120438322308097
688.08455448987332-0.0845544898733244
78.38.66473304969121-0.364733049691214
88.58.247060660992530.252939339007474
98.78.14450629390790.555493706092108
108.68.02221835101330.577781648986695
118.37.994772370012030.305227629987967
127.98.28185579917052-0.38185579917052
137.98.044909422256-0.144909422255991
148.18.16125483262866-0.061254832628657
158.38.32309087803526-0.0230908780352572
168.17.910425837253610.189574162746386
177.47.93009197565924-0.530091975659237
187.37.73093801949761-0.430938019497608
197.77.619135468341480.0808645316585166
2087.474852328137270.525147671862734
2187.438272647865570.561727352134427
227.77.536072136948480.163927863051525
236.97.3013189533109-0.401318953310903
246.67.73836209458893-1.13836209458893
256.97.71044767340674-0.810447673406744
267.57.276989259238280.223010740761717
277.97.131595152290720.768404847709278
287.76.846316667374290.853683332625712
296.56.7327774024492-0.232777402449195
306.16.65928819264526-0.559288192645261
316.46.93667820482807-0.536678204828068
326.87.3308013959712-0.530801395971201
337.17.2577099178452-0.157709917845195
347.37.156763677250120.143236322749883
357.27.165994166457530.0340058335424745
3676.838440982005160.161559017994835
3777.22934172727202-0.229341727272016
3877.26446343959473-0.264463439594728
397.37.21599323324610.0840067667539064
407.57.54005797527808-0.0400579752780773
417.27.6677925186482-0.467792518648196
427.77.526905209853930.173094790146069
4387.793230050707130.206769949292875
447.97.732318503851470.167681496148529
4587.897431920842770.102568079157235
4687.971220348621530.028779651378466
477.97.716825056756440.183174943243558
487.98.20432781873701-0.304327818737008
4988.40951383124606-0.409513831246057
508.18.22948455634638-0.129484556346383
518.18.23349129813996-0.133491298139962
528.28.37189205503645-0.171892055036449
5388.20564236443302-0.20564236443302
548.37.928187733806360.371812266193642
558.57.957385239337080.542614760662923
568.67.947200832862490.652799167137508
578.78.290140336584750.409859663415245
588.78.603769113494350.0962308865056487
598.58.5519391417693-0.0519391417692996
608.48.55870032734568-0.158700327345682


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1112557179757830.2225114359515650.888744282024217
100.04940340154102950.0988068030820590.95059659845897
110.04020324308284270.08040648616568540.959796756917157
120.01528608932707270.03057217865414540.984713910672927
130.2218466630973680.4436933261947360.778153336902632
140.1460666634109930.2921333268219860.853933336589007
150.1781073125925380.3562146251850760.821892687407462
160.1326310945849710.2652621891699420.867368905415029
170.1200401267266230.2400802534532450.879959873273377
180.08436127641000940.1687225528200190.91563872358999
190.1746458262906840.3492916525813690.825354173709316
200.2329498398802330.4658996797604650.767050160119767
210.2928622946997480.5857245893994950.707137705300253
220.2912148785856940.5824297571713880.708785121414306
230.4249411292741140.8498822585482290.575058870725886
240.5570980078757570.8858039842484870.442901992124243
250.5504647218255280.8990705563489440.449535278174472
260.6520082446030390.6959835107939220.347991755396961
270.879584425852830.2408311482943390.120415574147169
280.9981751277702540.003649744459491350.00182487222974568
290.999438925097180.001122149805638820.000561074902819412
300.9999766328602154.67342795703104e-052.33671397851552e-05
310.9999953016288529.3967422957218e-064.6983711478609e-06
320.999995329098739.34180254077517e-064.67090127038759e-06
330.9999907960192271.84079615457820e-059.20398077289101e-06
340.9999969374099986.12518000388444e-063.06259000194222e-06
350.9999966526732656.69465346984614e-063.34732673492307e-06
360.999991426365271.71472694594685e-058.57363472973426e-06
370.9999890706830462.18586339071971e-051.09293169535986e-05
380.9999831583709023.36832581956459e-051.68416290978229e-05
390.999979618374984.07632500391899e-052.03816250195950e-05
400.999956977904478.60441910604174e-054.30220955302087e-05
410.9999986376272372.72474552541688e-061.36237276270844e-06
420.9999977828479534.43430409391904e-062.21715204695952e-06
430.9999941288735051.17422529894523e-055.87112649472614e-06
440.9999931141943221.37716113565778e-056.88580567828891e-06
450.999972568098985.48638020382063e-052.74319010191032e-05
460.9998853303984530.0002293392030948950.000114669601547447
470.9995724035714440.0008551928571114550.000427596428555727
480.9995814689832950.0008370620334092460.000418531016704623
490.999981450894663.70982106813052e-051.85491053406526e-05
500.9999166337583350.000166732483330348.336624166517e-05
510.9999728417246135.43165507735063e-052.71582753867531e-05


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.558139534883721NOK
5% type I error level250.581395348837209NOK
10% type I error level270.627906976744186NOK