Multiple Linear Regression - Estimated Regression Equation
werkloosheid[t] = + 1.85423823704048 -0.114537989510702maand[t] -3.92322970510058indicator[t] + 0.973210530445734economie[t] + 1.09728386413799`financiƫn`[t] + 0.908015384045379spaarvermogen[t] -0.0221617445973185t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.854238237040480.6209382.98620.0042690.002135
maand-0.1145379895107020.044347-2.58280.0125980.006299
indicator-3.923229705100580.030814-127.320600
economie0.9732105304457340.0373526.056300
`financiƫn`1.097283864137990.1558367.041300
spaarvermogen0.9080153840453790.05790715.680500
t-0.02216174459731850.019223-1.15290.2541360.127068


Multiple Linear Regression - Regression Statistics
Multiple R0.998851623219125
R-squared0.99770456520748
Adjusted R-squared0.997444704664931
F-TEST (value)3839.38459998338
F-TEST (DF numerator)6
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.16791092469633
Sum Squared Residuals72.2928441853266


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11716.00050288393960.99949711606045
22321.07858513500881.92141486499119
32424.0988069097112-0.0988069097111827
42727.1760098923622-0.176009892362176
53132.297113644966-1.29711364496595
64038.99564122492491.00435877507512
74747.915901348937-0.915901348936986
84343.492897318911-0.492897318910984
96061.9022358268797-1.90223582687975
106463.81885677833570.181143221664285
116565.8513371250321-0.851337125032119
126563.79163240457241.20836759542759
135555.2865177726709-0.286517772670858
145759.1369258668014-2.13692586680139
155756.03113626967540.96886373032459
165756.18870766098910.811292339010854
176563.09924855705281.90075144294719
186970.3415109530804-1.3415109530804
197067.8706189219762.129381078024
207172.8024541944872-1.80245419448717
217170.37618395846620.623816041533836
227372.59793278525520.402067214744808
236866.65798340871481.34201659128522
246565.4879143861214-0.487914386121412
255757.8275169712082-0.827516971208247
264139.93050697861691.06949302138312
272122.4911887990251-1.49118879902508
282119.93292797665451.06707202334549
291716.85310598308110.1468940169189
3098.916071296809170.0839287031908311
311112.2332070083928-1.2332070083928
3265.778310105552540.221689894447463
33-2-2.232133665571590.232133665571589
340-0.7943268891356930.794326889135693
3554.791060140927890.20893985907211
3632.527556042815280.472443957184718
3778.65225790918244-1.65225790918244
3844.48973777896334-0.489737778963336
3988.62941706266955-0.629417062669553
4097.624509443444941.37549055655506
411414.6230451518531-0.623045151853085
421213.6099235941766-1.60992359417665
431211.71917423577250.28082576422753
4476.493848469214290.506151530785707
451516.8022639404889-1.80226394048892
461413.97311161472170.0268883852782716
471918.4039590673470.596040932652985
483938.36668723097640.633312769023613
491210.47139709609061.52860290390935
501112.1538310865761-1.15383108657608
511717.899995992758-0.899995992758008
521617.3325035210105-1.33250352101053
532525.0149785702887-0.014978570288724
542423.09573860791030.904261392089717
552829.1615622869855-1.16156228698554
562526.3260930021099-1.32609300210989
573129.43368356807851.56631643192153
582422.68130153721071.3186984627893
592423.45572014365080.544279856349248
603332.03361311127210.966386888727932


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.3232722022958520.6465444045917040.676727797704148
110.3800067925931840.7600135851863670.619993207406816
120.2544043272792320.5088086545584630.745595672720768
130.3066190201061650.613238040212330.693380979893835
140.6290597025667520.7418805948664960.370940297433248
150.6159221653504030.7681556692991930.384077834649597
160.5352090960651750.9295818078696490.464790903934825
170.5939627371031820.8120745257936350.406037262896818
180.5366592927983230.9266814144033530.463340707201677
190.827531502431920.3449369951361590.17246849756808
200.9135910315506050.172817936898790.0864089684493951
210.8820512705527750.2358974588944490.117948729447225
220.8349322171176160.3301355657647680.165067782882384
230.8074461636437470.3851076727125070.192553836356253
240.8309573662242750.338085267551450.169042633775725
250.8609576639333540.2780846721332910.139042336066646
260.8471779774738040.3056440450523910.152822022526196
270.9023119435917190.1953761128165620.097688056408281
280.8965242349788840.2069515300422330.103475765021116
290.8602463551684040.2795072896631910.139753644831596
300.8383278385410570.3233443229178850.161672161458943
310.8164013266059010.3671973467881980.183598673394099
320.7634256905224360.4731486189551280.236574309477564
330.7190525053852140.5618949892295720.280947494614786
340.6732832111767050.6534335776465890.326716788823295
350.6541590670499830.6916818659000340.345840932950017
360.6400241177984360.7199517644031280.359975882201564
370.644812050425350.71037589914930.35518794957465
380.5610338483693890.8779323032612210.438966151630611
390.5234914749172320.9530170501655370.476508525082768
400.781278860269610.437442279460780.21872113973039
410.7383628739400030.5232742521199940.261637126059997
420.7258628089027040.5482743821945920.274137191097296
430.7089159179219850.582168164156030.291084082078015
440.6271637317498730.7456725365002540.372836268250127
450.5530573665936680.8938852668126630.446942633406332
460.5303814412441630.9392371175116730.469618558755837
470.4215782068929960.8431564137859910.578421793107004
480.3732132246403020.7464264492806050.626786775359698
490.3861059850241350.772211970048270.613894014975865
500.2988353079528020.5976706159056040.701164692047198


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