Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 0.663907484037999 -3.94105757478893indicator[t] + 1.00077195481772economie[t] + 1.03740674497135`finaciƫn`[t] + 0.888119561734234spaarvermogen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.6639074840379990.46211.43670.1564620.078231
indicator-3.941057574788930.030998-127.138900
economie1.000771954817720.02298943.532600
`finaciƫn`1.037406744971350.1335967.765200
spaarvermogen0.8881195617342340.05912315.021600


Multiple Linear Regression - Regression Statistics
Multiple R0.998682888644061
R-squared0.997367512070446
Adjusted R-squared0.997176058402843
F-TEST (value)5209.44583905243
F-TEST (DF numerator)4
F-TEST (DF denominator)55
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.22777002196627
Sum Squared Residuals82.9080574761475


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11716.07361398292780.926386017072195
22320.87739566512272.12260433487730
32424.0203386395552-0.0203386395551586
42727.1353068970918-0.135306897091804
53132.2543983268314-1.25439832683137
64038.49646195324421.50353804675578
74747.5199761676191-0.519976167619089
84343.1614767725681-0.161476772568108
96061.3027307262776-1.3027307262776
106463.21959695972540.780403040274638
116565.0324708733475-0.0324708733474597
126564.36965609778020.630343902219804
135555.8587817002212-0.858781700221222
145759.3998518512777-2.39985185127774
155756.38629665099930.61370334900072
165756.49894904408280.501050955917235
176563.36022406970461.63977593029535
186970.3008494863241-1.30084948632414
197067.79976534280652.20023465719354
207172.7695695893089-1.76956958930891
217170.08345124791470.916548752085262
227372.0456123447740.954387655226052
236865.98777920469862.01222079530139
246566.3196555732587-1.31965557325874
255758.5362054583165-1.53620545831646
264140.45786952460320.542130475396827
272122.4474758860071-1.44747588600706
282120.03639670386710.963603296132854
291716.72409837705930.275901622940665
3098.88136604025770.118633959742293
311111.9289767681223-0.928976768122315
3265.61089553877960.389104461220395
33-2-2.48511630108480.485116301084798
340-1.374439975806191.37443997580619
3554.22154425610990.778455743890102
3633.08014519131288-0.0801451913128824
3779.13797833138822-2.13797833138822
3844.77778744928401-0.777787449284012
3988.75547981422656-0.755479814226565
4097.718073069255221.28192693074478
411414.8221417876148-0.822141787614841
421213.6441079326642-1.64410793266420
431211.51592427149740.484075728502638
4476.412511687258930.587488312741073
451516.4097109150700-1.40971091506997
461413.45543793665090.544562063349146
471917.82170962944541.1782903705546
483939.1059065575873-0.105906557587346
491211.16567122085220.834328779147765
501112.6659834095522-1.66598340955220
511718.4252421831533-1.42524218315331
521617.6103922017263-1.61039220172633
532525.2786106610176-0.278610661017638
542423.16441435829870.835585641701289
552829.2982651013039-1.29826510130391
562526.1553221268715-1.15532212687145
573129.20826013992611.79173986007386
582422.31292958671811.68707041328189
592422.92512221368381.07487778631616
603332.87339077994660.126609220053433


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.007008777252563260.01401755450512650.992991222747437
90.0793967049220020.1587934098440040.920603295077998
100.3063079868256580.6126159736513170.693692013174342
110.1973115479250240.3946230958500490.802688452074976
120.1804420343735590.3608840687471180.819557965626441
130.1161414862417640.2322829724835290.883858513758236
140.410780302190070.821560604380140.58921969780993
150.3287565263396960.6575130526793930.671243473660304
160.2531878800158540.5063757600317090.746812119984146
170.3245301081405420.6490602162810840.675469891859458
180.2635618948532150.5271237897064310.736438105146785
190.6501847359386060.6996305281227880.349815264061394
200.7361909563868890.5276180872262220.263809043613111
210.676523929042790.646952141914420.32347607095721
220.6084425618270600.7831148763458790.391557438172940
230.6902813712241750.6194372575516510.309718628775825
240.7460215059857320.5079569880285360.253978494014268
250.7788117264980860.4423765470038280.221188273501914
260.7374266032496540.5251467935006920.262573396750346
270.8225437812640870.3549124374718260.177456218735913
280.8049387153156140.3901225693687710.195061284684386
290.748796924946690.5024061501066210.251203075053311
300.7177678012786060.5644643974427870.282232198721394
310.6773193498511760.6453613002976490.322680650148824
320.6253190227266050.749361954546790.374680977273395
330.6119499800709540.7761000398580930.388050019929046
340.6090863666182120.7818272667635750.390913633381788
350.7063014188003070.5873971623993850.293698581199693
360.6825416969565350.6349166060869310.317458303043465
370.7233266724374180.5533466551251640.276673327562582
380.6663790408750160.6672419182499690.333620959124984
390.6486570760161140.7026858479677720.351342923983886
400.7635192205964420.4729615588071150.236480779403558
410.7263935648566870.5472128702866270.273606435143313
420.7011097205218230.5977805589563540.298890279478177
430.6588022073683120.6823955852633760.341197792631688
440.6376721884624490.7246556230751020.362327811537551
450.5622883293434230.8754233413131540.437711670656577
460.5535524695623100.8928950608753790.446447530437690
470.4914770096986680.9829540193973370.508522990301332
480.4003656784476730.8007313568953460.599634321552327
490.4367420230799810.8734840461599620.563257976920019
500.4310786854540620.8621573709081240.568921314545938
510.3673695026709520.7347390053419040.632630497329048
520.3801067480744010.7602134961488010.6198932519256


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0222222222222222OK
10% type I error level10.0222222222222222OK