Multiple Linear Regression - Estimated Regression Equation
Werkloosheid[t] = + 434.393784762256 -0.0075438885580698Export[t] -0.788029037341926t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)434.39378476225627.04926316.059400
Export-0.00754388855806980.005609-1.34510.1838390.09192
t-0.7880290373419260.247405-3.18520.0023290.001164


Multiple Linear Regression - Regression Statistics
Multiple R0.59474503976666
R-squared0.353721662327046
Adjusted R-squared0.331436202407289
F-TEST (value)15.8723070378932
F-TEST (DF numerator)2
F-TEST (DF denominator)58
p-value3.17810599714807e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation25.3767396765567
Sum Squared Residuals37350.7771634801


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1401401.744896788762-0.744896788762101
2394397.909891162815-3.90989116281551
3372392.987811195651-20.9878111956514
4334396.91169495168-62.9116949516798
5320395.455277388093-75.455277388093
6334388.184030523946-54.1840305239458
7400390.9242781652139.07572183478686
8427397.66278674225729.3372132577426
9423392.27147690678130.7285230932187
10395389.7506166676515.24938333234922
11373390.957946153918-17.9579461539183
12377389.228439824529-12.2284398245293
13391394.30880169651-3.30880169650984
14398388.7281402582269.27185974177382
15393383.8920606206249.107939379376
16375382.124834848445-7.12483484844461
17371380.132801197235-9.13280119723475
18364376.354374735474-12.3543747354740
19400379.72604584905220.2739541509483
20406383.40927956007822.5907204399222
21407373.6696723597333.3303276402698
22397377.26615135233819.7338486476616
23389374.65174689508814.3482531049122
24394371.57942840236222.4205715976376
25399375.796769423323.2032305767003
26401373.33927784805727.660722151943
27396364.93569331134431.0643066886564
28392373.52320897397118.4767910260292
29384365.23278276562818.7672172343715
30370368.7500509283771.24994907162302
31380366.03983908643913.9601609135611
32376370.3597769917665.640223008234
33378365.33887208449112.6611279155089
34376361.74527089240314.2547291075970
35373360.98741740929312.0125825907066
36374363.94794659645610.0520534035437
37379362.0290886642616.9709113357403
38376358.67990946145317.3200905385469
39371350.32611458922320.673885410777
40375361.45667508477613.5433249152245
41360357.2112819212702.78871807872977
42338354.694193626419-16.6941936264187
43352348.5303896025963.46961039740375
44344356.29637580125-12.2963758012497
45330349.679938463943-19.679938463943
46334346.906357958117-12.9063579581171
47333347.133736320691-14.1337363206914
48343353.163119373277-10.1631193732771
49350352.396213223898-2.39621322389781
50341349.967388425176-8.9673884251757
51320349.908853411399-29.9088534113991
52302340.572089860053-38.5720898600525
53287344.623465332712-57.6234653327123
54304341.336146016082-37.3361460160819
55370337.47850872446132.5214912755386
56385349.79874044562235.2012595543785
57365336.98122671358228.0187732864185
58333339.627930136729-6.62793013672876
59313347.796759984383-34.7967599843831
60330347.033625779283-17.0336257792828
61367352.54248052136214.4575194786383


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.1285767402557170.2571534805114340.871423259744283
70.9923758633447420.01524827331051550.00762413665525777
80.9960774622207340.007845075558531080.00392253777926554
90.9958709903286150.008258019342769890.00412900967138494
100.9914216172374130.01715676552517440.0085783827625872
110.9931906491403930.01361870171921340.0068093508596067
120.9914887048060380.01702259038792490.00851129519396243
130.9905547809788010.01889043804239760.0094452190211988
140.9840588359734430.03188232805311350.0159411640265567
150.9757710547087170.04845789058256540.0242289452912827
160.9695250581769650.06094988364607010.0304749418230350
170.9654330109010050.06913397819799010.0345669890989951
180.9658619590252170.06827608194956570.0341380409747829
190.953330005579030.0933399888419420.046669994420971
200.930179303920750.1396413921585020.0698206960792508
210.9317854475380730.1364291049238540.068214552461927
220.9016139280203610.1967721439592780.098386071979639
230.8657169987135580.2685660025728850.134283001286442
240.820288397928770.3594232041424610.179711602071230
250.7677738255276920.4644523489446160.232226174472308
260.708944671509430.5821106569811390.291055328490570
270.6746501108206770.6506997783586450.325349889179323
280.6307472061642860.7385055876714290.369252793835714
290.5644419262513340.8711161474973320.435558073748666
300.5721759681359850.855648063728030.427824031864015
310.5124041625002190.9751916749995620.487595837499781
320.5005028697152290.9989942605695420.499497130284771
330.4404904728774350.880980945754870.559509527122565
340.3767680360331450.7535360720662900.623231963966855
350.3192249019761160.6384498039522330.680775098023884
360.2745226355023990.5490452710047980.725477364497601
370.2305186637027540.4610373274055070.769481336297246
380.19771337971350.3954267594270.8022866202865
390.1935928207674300.3871856415348610.80640717923257
400.1839830517690390.3679661035380780.816016948230961
410.1739014115724260.3478028231448520.826098588427574
420.1805682007933710.3611364015867410.81943179920663
430.1632241926388660.3264483852777330.836775807361134
440.1536780951513140.3073561903026280.846321904848686
450.1391273225458480.2782546450916960.860872677454152
460.1113209879143330.2226419758286670.888679012085667
470.08623536745246850.1724707349049370.913764632547531
480.06731871757914840.1346374351582970.932681282420852
490.0593794327018630.1187588654037260.940620567298137
500.05556908872948040.1111381774589610.94443091127052
510.04645033503291350.09290067006582690.953549664967086
520.03819540391317980.07639080782635960.96180459608682
530.1009314297722120.2018628595444230.899068570227788
540.4082747023135420.8165494046270840.591725297686458
550.2778089465945970.5556178931891930.722191053405403


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.04NOK
5% type I error level90.18NOK
10% type I error level150.3NOK