Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 1.85423823704046 -0.114537989510701maand[t] -3.92322970510058indicator[t] + 0.973210530445734economie[t] + 1.09728386413799`financiƫn`[t] + 0.908015384045378spaarvermogen[t] -0.0221617445973184t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.854238237040460.6209382.98620.0042690.002135
maand-0.1145379895107010.044347-2.58280.0125980.006299
indicator-3.923229705100580.030814-127.320600
economie0.9732105304457340.0373526.056300
`financiƫn`1.097283864137990.1558367.041300
spaarvermogen0.9080153840453780.05790715.680500
t-0.02216174459731840.019223-1.15290.2541360.127068


Multiple Linear Regression - Regression Statistics
Multiple R0.998851623219125
R-squared0.99770456520748
Adjusted R-squared0.99744470466493
F-TEST (value)3839.38459998337
F-TEST (DF numerator)6
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.16791092469633
Sum Squared Residuals72.2928441853268


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11716.00050288393950.999497116060498
22321.07858513500881.92141486499121
32424.0988069097113-0.0988069097112732
42727.1760098923622-0.176009892362197
53132.2971136449659-1.29711364496594
64038.99564122492491.00435877507512
74747.915901348937-0.915901348936988
84343.492897318911-0.492897318910983
96061.9022358268797-1.90223582687975
106463.81885677833570.181143221664279
116565.8513371250321-0.851337125032118
126563.79163240457241.20836759542759
135555.2865177726709-0.286517772670855
145759.1369258668014-2.13692586680139
155756.03113626967540.968863730324596
165756.18870766098920.81129233901085
176563.09924855705281.90075144294720
186970.3415109530804-1.34151095308039
197067.8706189219762.12938107802400
207172.8024541944872-1.80245419448717
217170.37618395846620.623816041533841
227372.59793278525520.402067214744819
236866.65798340871481.34201659128521
246565.4879143861214-0.487914386121406
255757.8275169712083-0.827516971208253
264139.93050697861691.06949302138312
272122.4911887990251-1.49118879902508
282119.93292797665451.06707202334548
291716.85310598308110.146894016918893
3098.916071296809160.0839287031908366
311112.2332070083928-1.23320700839280
3265.778310105552540.221689894447462
33-2-2.232133665571590.232133665571593
340-0.794326889135690.79432688913569
3554.791060140927890.208939859072115
3632.527556042815280.472443957184719
3778.65225790918245-1.65225790918244
3844.48973777896333-0.489737778963332
3988.62941706266955-0.629417062669553
4097.624509443444951.37549055655505
411414.6230451518531-0.623045151853085
421213.6099235941766-1.60992359417664
431211.71917423577250.280825764227542
4476.49384846921430.506151530785706
451516.8022639404889-1.80226394048892
461413.97311161472170.026888385278277
471918.40395906734700.596040932652981
483938.36668723097640.633312769023607
491210.47139709609061.52860290390936
501112.1538310865761-1.15383108657607
511717.899995992758-0.899995992758005
521617.3325035210105-1.33250352101054
532525.0149785702887-0.0149785702887253
542423.09573860791030.904261392089716
552829.1615622869855-1.16156228698554
562526.3260930021099-1.32609300210989
573129.43368356807851.56631643192152
582422.68130153721071.31869846278930
592423.45572014365080.544279856349244
603332.03361311127210.966386888727928


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.323272202295850.64654440459170.67672779770415
110.3800067925931850.760013585186370.619993207406815
120.2544043272792320.5088086545584630.745595672720768
130.306619020106170.613238040212340.69338097989383
140.6290597025667520.7418805948664950.370940297433248
150.6159221653504050.768155669299190.384077834649595
160.5352090960651730.9295818078696530.464790903934827
170.5939627371031930.8120745257936150.406037262896807
180.5366592927983070.9266814144033860.463340707201693
190.827531502431920.3449369951361590.172468497568080
200.9135910315506030.1728179368987930.0864089684493967
210.8820512705527760.2358974588944490.117948729447224
220.8349322171176160.3301355657647680.165067782882384
230.8074461636437470.3851076727125070.192553836356253
240.8309573662242740.3380852675514510.169042633775726
250.8609576639333530.2780846721332930.139042336066647
260.8471779774738030.3056440450523940.152822022526197
270.902311943591720.195376112816560.09768805640828
280.8965242349788850.206951530042230.103475765021115
290.8602463551684030.2795072896631950.139753644831597
300.8383278385410570.3233443229178860.161672161458943
310.81640132660590.3671973467881990.183598673394100
320.7634256905224370.4731486189551250.236574309477563
330.7190525053852130.5618949892295750.280947494614787
340.6732832111766980.6534335776466040.326716788823302
350.6541590670499830.6916818659000350.345840932950017
360.6400241177984330.7199517644031340.359975882201567
370.644812050425350.7103758991492990.355187949574650
380.5610338483693940.8779323032612120.438966151630606
390.5234914749172270.9530170501655450.476508525082773
400.7812788602696050.4374422794607890.218721139730395
410.7383628739400040.5232742521199920.261637126059996
420.7258628089027070.5482743821945850.274137191097293
430.7089159179219860.5821681641560270.291084082078014
440.627163731749870.745672536500260.37283626825013
450.5530573665936670.8938852668126650.446942633406333
460.5303814412441630.9392371175116740.469618558755837
470.4215782068929990.8431564137859990.578421793107001
480.3732132246403050.746426449280610.626786775359695
490.3861059850241370.7722119700482730.613894014975863
500.2988353079528020.5976706159056030.701164692047198


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