Multiple Linear Regression - Estimated Regression Equation
Werkloosheid[t] = + 11.6359824396043 -0.559320335978252rente[t] -0.143899561563292inflatie[t] -0.0296059693049306consumer[t] -0.000333689284785689Bel20[t] -0.00268120125236932t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11.63598243960430.26736943.520400
rente-0.5593203359782520.075582-7.400200
inflatie-0.1438995615632920.024294-5.923200
consumer-0.02960596930493060.004442-6.664700
Bel20-0.0003336892847856897e-05-4.79384e-062e-06
t-0.002681201252369320.001503-1.78390.0766660.038333


Multiple Linear Regression - Regression Statistics
Multiple R0.906296630636011
R-squared0.821373582702186
Adjusted R-squared0.814806435007414
F-TEST (value)125.073109495618
F-TEST (DF numerator)5
F-TEST (DF denominator)136
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.307203185474167
Sum Squared Residuals12.8348364145047


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19.18.338258039967320.761741960032681
298.292811741291610.70718825870839
398.257512982713920.74248701728608
48.98.310838719136020.589161280863977
58.88.371244596100960.428755403899044
68.78.462583033290270.237416966709730
78.58.291687394663080.208312605336917
88.38.272674911697260.0273250883027432
98.18.35890926159194-0.258909261591938
107.98.3197693938494-0.419769393849395
117.87.93223369575334-0.132233695753342
127.67.65773907265795-0.0577390726579463
137.47.69199587393316-0.291995873933161
147.27.29902815806226-0.0990281580622647
1577.19531514812144-0.195315148121443
1677.16001503078117-0.160015030781166
176.87.06141787163158-0.26141787163158
186.87.03839410515606-0.238394105156057
196.76.9626821458147-0.262682145814703
206.86.92608203476072-0.126082034760723
216.76.73197929951197-0.0319792995119653
226.76.76100696477155-0.0610069647715545
236.76.65072685833870.0492731416612976
246.56.70526226744458-0.205262267444584
256.36.56303690256111-0.263036902561110
266.36.61041523996959-0.31041523996959
276.36.63270238167651-0.332702381676508
286.56.67336430025174-0.173364300251743
296.66.75966582447863-0.159665824478633
306.56.77099777114819-0.270997771148192
316.36.88053426289378-0.580534262893784
326.36.90135115147095-0.601351151470949
336.56.95183685338379-0.451836853383787
3476.835564560073340.164435439926656
357.16.819883134164140.280116865835857
367.36.883727369524960.416272630475044
377.36.969981212660680.330018787339322
387.47.205400543878690.194599456121315
397.47.46803289164635-0.0680328916463535
407.37.56304683807467-0.263046838074666
417.47.42775628260936-0.0277562826093639
427.57.470563520092760.0294364799072381
437.77.386171337978660.313828662021342
447.77.261824918103820.438175081896177
457.77.484628774080240.215371225919765
467.77.75931271794711-0.0593127179471072
477.77.99410967669714-0.294109676697135
487.87.8109209046881-0.0109209046880991
4987.73596123198610.264038768013899
508.17.781468009371350.318531990628649
518.17.677117955311270.422882044688732
528.27.813088347879630.38691165212037
538.28.053022974289160.146977025710835
548.28.088620763717720.111379236282276
558.18.16260937837488-0.0626093783748768
568.18.085970776203260.0140292237967404
578.28.16506887066980.0349311293302029
588.38.41683906195521-0.116839061955208
598.38.32423219573-0.0242321957300066
608.48.293676308826150.106323691173851
618.58.336475161852230.163524838147771
628.58.52838733803955-0.028387338039552
638.48.53812342553583-0.138123425535833
6488.1461783268131-0.146178326813107
657.98.09952393925509-0.199523939255086
668.18.26546208634915-0.165462086349151
678.58.53259533203275-0.032595332032753
688.88.515124183957560.284875816042437
698.88.245577419684820.554422580315182
708.68.395325539860610.204674460139386
718.38.149880977083440.150119022916562
728.38.276241554725220.0237584452747763
738.38.298433855837970.00156614416203172
748.48.253735239124480.146264760875518
758.48.393760083488990.00623991651101146
768.58.468072862448650.0319271375513528
778.68.56923151463180.0307684853682044
788.68.426767858380240.173232141619758
798.68.427342943232570.172657056767434
808.68.306037214714350.293962785285649
818.68.390118698459680.209881301540318
828.58.72370200447019-0.223702004470191
838.48.77424973537126-0.374249735371256
848.48.60670621724072-0.206706217240722
858.48.66460104011244-0.264601040112442
868.58.487171230645220.0128287693547775
878.58.439937680157950.060062319842046
888.68.3911596765140.208840323486006
898.68.67095498734223-0.070954987342227
908.48.58389619097827-0.183896190978267
918.28.59777392623333-0.397773926233335
9288.39549625358504-0.395496253585039
9388.40761541069073-0.407615410690734
9488.21897205745327-0.218972057453271
9588.11592866459634-0.115928664596343
967.98.0123066661327-0.112306666132699
977.98.04043727775204-0.140437277752040
987.88.07596899083775-0.275968990837750
997.88.09763121821183-0.297631218211834
10088.11690475162167-0.116904751621666
1017.88.0969431474849-0.296943147484899
1027.47.85196118756487-0.451961187564871
1037.27.93965446356795-0.739654463567954
10477.86356385817706-0.863563858177056
10577.76956366317545-0.769563663175446
1067.27.35943632074767-0.159436320747667
1077.27.20677490824332-0.00677490824332195
1087.27.4542532071414-0.254253207141398
10977.12910888771823-0.129108887718231
1106.97.00407378719248-0.104073787192481
1116.86.96641290292315-0.166412902923146
1126.86.98152370473048-0.181523704730476
1136.86.754579143202930.0454208567970666
1146.96.98158457733799-0.0815845773379848
1157.26.979845217589830.220154782410171
1167.26.913231831163330.286768168836674
1177.26.80425693525690.395743064743095
1187.16.648710081442520.451289918557476
1197.26.89525870987510.304741290124902
1207.36.983500419134150.316499580865848
1217.57.187180500053060.312819499946941
1227.67.104873742181640.495126257818364
1237.77.337847130826340.362152869173657
1247.76.801696115233830.898303884766172
1257.77.511785836574690.188214163425313
1267.87.764595166710440.0354048332895637
12788.05327385644632-0.0532738564463242
1288.18.13550550512256-0.0355055051225612
1298.18.085415440959460.0145845590405365
13088.09111323339696-0.0911132333969588
1318.18.3289338044372-0.228933804437208
1328.28.47992728305126-0.279927283051258
1338.38.40402871140908-0.104028711409078
1348.48.56098201404746-0.160982014047464
1358.48.41556121574649-0.0155612157464867
1368.48.263756286598860.136243713401140
1378.58.133550797396770.366449202603227
1388.58.11555729172490.384442708275096
1398.68.33980662779630.260193372203695
1408.68.266548552209090.333451447790911
1418.58.220181052596420.279818947403579
1428.58.69715950094628-0.197159500946283


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.03154002496774090.06308004993548180.96845997503226
100.008811648907539350.01762329781507870.99118835109246
110.001945980481690210.003891960963380430.99805401951831
120.0004380719929687150.000876143985937430.999561928007031
130.0001232592052267880.0002465184104535760.999876740794773
144.75379913333986e-059.50759826667972e-050.999952462008667
151.69271248550467e-053.38542497100934e-050.999983072875145
167.9031314218711e-061.58062628437422e-050.999992096868578
171.69267735581695e-063.38535471163391e-060.999998307322644
181.18167725473103e-052.36335450946206e-050.999988183227453
193.6173365798665e-067.234673159733e-060.99999638266342
204.04591394702583e-058.09182789405167e-050.99995954086053
219.91331545541987e-050.0001982663091083970.999900866845446
220.0003394398207998790.0006788796415997580.9996605601792
230.0003004866589644470.0006009733179288940.999699513341036
240.0002070559058520200.0004141118117040390.999792944094148
250.0001228633854902160.0002457267709804320.99987713661451
269.85592687716826e-050.0001971185375433650.999901440731228
270.0001422925536136910.0002845851072273820.999857707446386
280.0004625667282249320.0009251334564498640.999537433271775
290.0008955482711961130.001791096542392230.999104451728804
300.0006426894745196760.001285378949039350.99935731052548
310.000562017135538560.001124034271077120.999437982864462
320.0005247806774414090.001049561354882820.999475219322559
330.01467237822863120.02934475645726240.985327621771369
340.2168783792535010.4337567585070020.783121620746499
350.5708045752598940.8583908494802130.429195424740106
360.8114731022605940.3770537954788110.188526897739406
370.8653629530558650.2692740938882700.134637046944135
380.8502557308458160.2994885383083680.149744269154184
390.8181955382077160.3636089235845690.181804461792284
400.7999442045559290.4001115908881430.200055795444071
410.7702302040169250.459539591966150.229769795983075
420.7380655937553210.5238688124893580.261934406244679
430.7645643917384340.4708712165231310.235435608261566
440.8176975558693430.3646048882613150.182302444130657
450.7881644554934940.4236710890130110.211835544506506
460.7615699231650520.4768601536698950.238430076834948
470.7824079064768110.4351841870463770.217592093523188
480.7502223114612130.4995553770775740.249777688538787
490.7314583269890380.5370833460219240.268541673010962
500.7301495933245940.5397008133508120.269850406675406
510.7334871470595150.533025705880970.266512852940485
520.7302841512113440.5394316975773120.269715848788656
530.7049050755159710.5901898489680570.295094924484029
540.6770641665820680.6458716668358630.322935833417931
550.6481016962445380.7037966075109250.351898303755462
560.6084540780112280.7830918439775440.391545921988772
570.5835887673167070.8328224653665860.416411232683293
580.5729700444534310.8540599110931380.427029955546569
590.5396117057909190.9207765884181620.460388294209081
600.5011105658755970.9977788682488060.498889434124403
610.4750777160326160.9501554320652310.524922283967384
620.4352704551832380.8705409103664770.564729544816762
630.4072865439293640.8145730878587270.592713456070636
640.3757332717599780.7514665435199570.624266728240022
650.3465929078338990.6931858156677980.653407092166101
660.3300869600438860.6601739200877730.669913039956114
670.2938880801334880.5877761602669770.706111919866512
680.2776442312370660.5552884624741310.722355768762935
690.3280498643906620.6560997287813230.671950135609338
700.2903828978412110.5807657956824220.709617102158789
710.2648997858997240.5297995717994470.735100214100276
720.2543528809373990.5087057618747980.7456471190626
730.2438451662853090.4876903325706180.756154833714691
740.2299286764516270.4598573529032540.770071323548373
750.2124994103828300.4249988207656590.78750058961717
760.1953415059725030.3906830119450050.804658494027497
770.1804149699695730.3608299399391470.819585030030427
780.1912642637398970.3825285274797930.808735736260103
790.2048814891818160.4097629783636320.795118510818184
800.2770801742476690.5541603484953390.722919825752331
810.3420397991132150.684079598226430.657960200886785
820.3433766697867560.6867533395735120.656623330213244
830.3489066754275140.6978133508550280.651093324572486
840.3210959078070480.6421918156140960.678904092192952
850.2868243273572480.5736486547144960.713175672642752
860.3057684283790460.6115368567580910.694231571620954
870.3740788162807090.7481576325614190.62592118371929
880.5678820240361870.8642359519276250.432117975963813
890.6361632463864830.7276735072270340.363836753613517
900.6674532898502280.6650934202995450.332546710149772
910.6690645398223760.6618709203552480.330935460177624
920.6562187484522740.6875625030954520.343781251547726
930.6329679785745630.7340640428508730.367032021425437
940.6299721935386850.740055612922630.370027806461315
950.6630862049656540.6738275900686930.336913795034346
960.7228347524490570.5543304951018870.277165247550943
970.8039505431749340.3920989136501330.196049456825066
980.8535386291306380.2929227417387240.146461370869362
990.9061892365693530.1876215268612930.0938107634306467
1000.9961249445183730.007750110963254270.00387505548162713
1010.9999435260821750.0001129478356495885.64739178247939e-05
1020.999989787870942.04242581215696e-051.02121290607848e-05
1030.9999934432241751.31135516509342e-056.55677582546711e-06
1040.9999933052301071.33895397863576e-056.69476989317878e-06
1050.9999920367743781.59264512433291e-057.96322562166453e-06
1060.9999927936397451.44127205095094e-057.20636025475472e-06
1070.999998539160782.9216784410777e-061.46083922053885e-06
1080.9999998321548253.35690349142549e-071.67845174571275e-07
1090.999999976824964.63500801424569e-082.31750400712285e-08
1100.999999987779832.44403394219493e-081.22201697109747e-08
1110.999999969784786.04304412126695e-083.02152206063347e-08
1120.9999999387767481.22446504004248e-076.1223252002124e-08
1130.9999999176728571.64654285255342e-078.2327142627671e-08
1140.9999998741311522.51737695795819e-071.25868847897910e-07
1150.9999998805072522.38985495621698e-071.19492747810849e-07
1160.9999998769691132.46061774139566e-071.23030887069783e-07
1170.9999998583701982.83259604450322e-071.41629802225161e-07
1180.9999997416342745.16731451300734e-072.58365725650367e-07
1190.999999554960238.90079540227023e-074.45039770113512e-07
1200.9999995108741589.78251683741077e-074.89125841870538e-07
1210.999998877340032.24531994183964e-061.12265997091982e-06
1220.9999971870730185.62585396374125e-062.81292698187063e-06
1230.9999916632367511.66735264973201e-058.33676324866005e-06
1240.9999919581748691.60836502626534e-058.04182513132669e-06
1250.9999792620983944.14758032111096e-052.07379016055548e-05
1260.999976581112364.68377752782574e-052.34188876391287e-05
1270.9999082650979570.0001834698040851189.1734902042559e-05
1280.9996673683363060.0006652633273882170.000332631663694109
1290.999603565502230.000792868995539350.000396434497769675
1300.9987188886615920.002562222676815350.00128111133840768
1310.998218307705310.003563384589381570.00178169229469078
1320.9975956686394630.004808662721074470.00240433136053724
1330.9898617816643160.02027643667136840.0101382183356842


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level550.44NOK
5% type I error level580.464NOK
10% type I error level590.472NOK