Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 0.663907484037988 -3.94105757478893indicator[t] + 1.00077195481772vooruitzichten[t] + 1.03740674497135financiƫn[t] + 0.888119561734235spaarvermogen[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
vooruitzichten1.000771954817720.02298943.532600
financiƫn1.037406744971350.1335967.765200
spaarvermogen0.8881195617342350.05912315.021600


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
13332.87339077994660.126609220053420
22422.92512221368381.07487778631619
32422.31292958671811.6870704132819
43129.20826013992611.79173986007385
52526.1553221268715-1.15532212687145
62829.2982651013039-1.29826510130391
72423.16441435829870.835585641701287
82525.2786106610176-0.278610661017639
91617.6103922017263-1.61039220172634
101718.4252421831533-1.42524218315331
111112.6659834095522-1.6659834095522
121211.16567122085220.834328779147763
133939.1059065575873-0.105906557587348
141917.82170962944541.1782903705546
151413.45543793665090.544562063349145
161516.4097109150700-1.40971091506996
1776.412511687258930.587488312741069
181211.51592427149740.484075728502633
191213.6441079326642-1.64410793266420
201414.8221417876148-0.822141787614838
2197.718073069255221.28192693074478
2288.75547981422656-0.755479814226566
2344.77778744928401-0.777787449284008
2479.13797833138822-2.13797833138822
2533.08014519131288-0.0801451913128814
2654.22154425610990.778455743890102
270-1.37443997580621.3744399758062
28-2-2.48511630108480.485116301084801
2965.610895538779610.389104461220394
301111.9289767681223-0.928976768122314
3198.88136604025770.118633959742295
321716.72409837705930.275901622940668
332120.03639670386710.96360329613286
342122.4474758860071-1.44747588600707
354140.45786952460320.54213047539682
365758.5362054583165-1.53620545831647
376566.3196555732587-1.31965557325873
386865.98777920469862.01222079530138
397372.0456123447740.95438765522605
407170.08345124791470.916548752085263
417172.7695695893089-1.76956958930892
427067.79976534280652.20023465719354
436970.3008494863241-1.30084948632414
446563.36022406970471.63977593029534
455756.49894904408280.501050955917244
465756.38629665099930.613703349000729
475759.3998518512777-2.39985185127773
485555.8587817002212-0.85878170022122
496564.36965609778020.630343902219807
506565.0324708733475-0.0324708733474578
516463.21959695972540.78040304027464
526061.3027307262776-1.30273072627759
534343.1614767725681-0.161476772568106
544747.5199761676191-0.519976167619083
554038.49646195324421.50353804675578
563132.2543983268314-1.25439832683137
572727.1353068970918-0.135306897091793
582424.0203386395551-0.0203386395551479
592320.87739566512272.12260433487731
601716.07361398292790.926386017072149


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6198932519255940.7602134961488110.380106748074406
90.6326304973290480.7347390053419050.367369502670952
100.5689213145459440.8621573709081130.431078685454057
110.563257976920020.873484046159960.43674202307998
120.5996343215523220.8007313568953550.400365678447678
130.5085229903013350.982954019397330.491477009698665
140.4464475304376890.8928950608753790.55355246956231
150.4377116706565780.8754233413131560.562288329343422
160.3623278115375570.7246556230751140.637672188462443
170.3411977926316890.6823955852633780.658802207368311
180.2988902794781850.5977805589563690.701109720521815
190.2736064351433180.5472128702866350.726393564856682
200.2364807794035560.4729615588071130.763519220596444
210.3513429239838860.7026858479677720.648657076016114
220.3336209591249910.6672419182499820.666379040875009
230.2766733275625830.5533466551251650.723326672437417
240.3174583030434680.6349166060869350.682541696956532
250.2936985811996930.5873971623993870.706301418800307
260.3909136333817870.7818272667635750.609086366618213
270.3880500199290430.7761000398580870.611949980070957
280.3746809772733990.7493619545467970.625319022726601
290.3226806501488210.6453613002976420.677319349851179
300.2822321987213970.5644643974427950.717767801278603
310.2512030750533080.5024061501066170.748796924946691
320.1950612846843850.390122569368770.804938715315615
330.1774562187359110.3549124374718220.822543781264089
340.2625733967503460.5251467935006910.737426603249654
350.2211882735019130.4423765470038270.778811726498087
360.2539784940142670.5079569880285340.746021505985733
370.3097186287758240.6194372575516470.690281371224176
380.3915574381729360.7831148763458720.608442561827064
390.3234760709572170.6469521419144340.676523929042783
400.2638090436131090.5276180872262180.736190956386891
410.3498152640613870.6996305281227730.650184735938613
420.7364381051467650.5271237897064690.263561894853235
430.6754698918594690.6490602162810630.324530108140531
440.7468121199841410.5063757600317180.253187880015859
450.6712434736602970.6575130526794070.328756526339703
460.5892196978099260.8215606043801470.410780302190073
470.8838585137582370.2322829724835250.116141486241763
480.8195579656264370.3608840687471260.180442034373563
490.8026884520749750.3946230958500510.197311547925025
500.6936920131743420.6126159736513160.306307986825658
510.9206032950779990.1587934098440030.0793967049220015
520.9929912227474370.01401755450512660.00700877725256332


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