Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 0.663907484037988 -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)0.6639074840379880.46211.43670.1564620.078231
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)5209.44583905242
F-TEST (DF numerator)4
F-TEST (DF denominator)55
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.22777002196627
Sum Squared Residuals82.9080574761476


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11716.07361398292780.926386017072153
22320.87739566512272.12260433487732
32424.0203386395551-0.0203386395551358
42727.1353068970918-0.135306897091802
53132.2543983268314-1.25439832683136
64038.49646195324421.50353804675578
74747.5199761676191-0.519976167619086
84343.1614767725681-0.161476772568109
96061.3027307262776-1.3027307262776
106463.21959695972540.780403040274637
116565.0324708733475-0.03247087334746
126564.36965609778020.630343902219803
135555.8587817002212-0.858781700221217
145759.3998518512777-2.39985185127774
155756.38629665099930.61370334900073
165756.49894904408280.501050955917242
176563.36022406970471.63977593029535
186970.3008494863241-1.30084948632414
197067.79976534280652.20023465719354
207172.7695695893089-1.76956958930891
217170.08345124791470.916548752085257
227372.0456123447740.954387655226048
236865.98777920469862.01222079530139
246566.3196555732587-1.31965557325875
255758.5362054583165-1.53620545831646
264140.45786952460320.542130475396825
272122.4474758860071-1.44747588600706
282120.03639670386710.963603296132864
291716.72409837705930.275901622940672
3098.88136604025770.118633959742296
311111.9289767681223-0.928976768122317
3265.610895538779610.389104461220393
33-2-2.48511630108480.485116301084798
340-1.374439975806191.37443997580619
3554.22154425610990.778455743890102
3633.08014519131288-0.0801451913128812
3779.13797833138822-2.13797833138822
3844.77778744928401-0.77778744928401
3988.75547981422656-0.755479814226565
4097.718073069255221.28192693074478
411414.8221417876148-0.82214178761484
421213.6441079326642-1.6441079326642
431211.51592427149740.484075728502632
4476.412511687258930.587488312741068
451516.40971091507-1.40971091506997
461413.45543793665090.544562063349142
471917.82170962944541.1782903705546
483939.1059065575873-0.105906557587345
491211.16567122085220.834328779147761
501112.6659834095522-1.6659834095522
511718.4252421831533-1.42524218315331
521617.6103922017263-1.61039220172633
532525.2786106610176-0.278610661017638
542423.16441435829870.83558564170129
552829.2982651013039-1.29826510130391
562526.1553221268715-1.15532212687145
573129.20826013992611.79173986007386
582422.31292958671811.68707041328189
592422.92512221368381.07487778631617
603332.87339077994660.126609220053433


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.00700877725256330.01401755450512660.992991222747437
90.07939670492200250.1587934098440050.920603295077998
100.3063079868256580.6126159736513160.693692013174342
110.1973115479250280.3946230958500560.802688452074972
120.1804420343735620.3608840687471250.819557965626438
130.1161414862417610.2322829724835230.883858513758239
140.4107803021900680.8215606043801360.589219697809932
150.3287565263397020.6575130526794040.671243473660298
160.2531878800158590.5063757600317180.746812119984141
170.3245301081405340.6490602162810670.675469891859466
180.2635618948532320.5271237897064640.736438105146768
190.6501847359386070.6996305281227850.349815264061393
200.7361909563868920.5276180872262160.263809043613108
210.6765239290427890.6469521419144230.323476070957211
220.6084425618270680.7831148763458650.391557438172932
230.6902813712241780.6194372575516430.309718628775822
240.7460215059857340.5079569880285320.253978494014266
250.7788117264980870.4423765470038260.221188273501913
260.7374266032496540.5251467935006920.262573396750346
270.8225437812640880.3549124374718250.177456218735912
280.8049387153156150.3901225693687690.195061284684385
290.748796924946690.502406150106620.25120307505331
300.7177678012786030.5644643974427950.282232198721397
310.6773193498511820.6453613002976360.322680650148818
320.6253190227266020.7493619545467960.374680977273398
330.6119499800709590.7761000398580820.388050019929041
340.6090863666182110.7818272667635770.390913633381789
350.7063014188003060.5873971623993890.293698581199694
360.682541696956530.6349166060869390.31745830304347
370.7233266724374180.5533466551251640.276673327562582
380.666379040875010.667241918249980.33362095912499
390.6486570760161140.7026858479677730.351342923983886
400.7635192205964430.4729615588071140.236480779403557
410.7263935648566830.5472128702866350.273606435143317
420.7011097205218190.5977805589563630.298890279478181
430.6588022073683110.6823955852633780.341197792631689
440.6376721884624450.7246556230751110.362327811537555
450.5622883293434280.8754233413131430.437711670656572
460.5535524695623110.8928950608753770.446447530437689
470.4914770096986650.9829540193973310.508522990301335
480.4003656784476780.8007313568953560.599634321552322
490.4367420230799820.8734840461599630.563257976920018
500.4310786854540580.8621573709081170.568921314545942
510.3673695026709510.7347390053419010.632630497329049
520.3801067480744030.7602134961488070.619893251925597


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