Multiple Linear Regression - Estimated Regression Equation
afstand[t] = -2.71600231617741 + 0.320463860057686schadebedrag[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-2.716002316177410.456516-5.949400
schadebedrag0.3204638600576860.02068415.493200


Multiple Linear Regression - Regression Statistics
Multiple R0.897437591050394
R-squared0.805394229830334
Adjusted R-squared0.802038957930858
F-TEST (value)240.0384391965
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.09383263240868
Sum Squared Residuals69.3952500078817


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14.15.07126948322438-0.97126948322438
21.73.37281102491863-1.67281102491863
389.20525327796853-1.20525327796852
456.03266106339743-1.03266106339743
564.173970675062851.82602932493715
64.83.436903796930171.36309620306983
73.82.667790532791721.13220946720828
82.72.058909198682120.64109080131788
913.11643993687248-2.11643993687248
108.48.43614001383008-0.036140013830076
116.16.76972794153011-0.669727941530109
124.85.39173334328206-0.591733343282058
132.22.8921152348321-0.692115234832104
140.61.6743525666129-1.0743525666129
152.83.02030077885518-0.220300778855178
167.45.231501413253212.16849858674679
176.35.391733343282060.908266656717942
182.34.23806344707439-1.93806344707439
191.11.70639895261867-0.606398952618665
203.42.79597607681480.604023923185202
216.15.840382747362820.259617252637182
222.93.02030077885518-0.120300778855178
231.92.34732667273404-0.447326672734038
240.62.50755860276288-1.90755860276288
257.25.872429133368591.32757086663141
261.62.98825439284941-1.38825439284941
272.52.7959760768148-0.295976076814798
283.53.148486322878250.351513677121746
2942.699836918797491.30016308120251
300.91.09751761850906-0.197517618509061
311.71.70639895261867-0.00639895261866516
328.96.224939379432042.67506062056796
335.24.141924289057081.05807571094292
343.63.244625480895560.35537451910444
350.71.32184232054944-0.621842320549441
361.41.83458449664174-0.434584496641739
373.73.565089340953250.134910659046754
384.83.340764638912861.45923536108714
395.65.74424358934551-0.144243589345512
406.27.25042373161664-1.05042373161664
411.42.47551221675711-1.07551221675711
421.83.34076463891286-1.54076463891286
438.68.75660387388776-0.156603873887763
447.25.03922309721862.1607769027814
452.73.11643993687248-0.416439936872484
462.93.56508934095325-0.665089340953246
473.64.59057369313784-0.990573693137842
481.71.129564004514830.570435995485171
490.50.1681724243417710.331827575658229
500.40.809100144457143-0.409100144457143
517.48.27590808380123-0.875908083801233
526.26.032661063397430.16733893660257
535.85.231501413253210.568498586746785
544.14.013738745034010.0862612549659934
553.62.79597607681480.804023923185202
568.46.897913485553181.50208651444682
572.81.77049172463021.0295082753698
5899.75004184006659-0.75004184006659
592.91.802538110635971.09746188936403
604.13.661228498970550.438771501029449


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.8947777223693250.2104445552613490.105222277630675
60.8996085186639720.2007829626720550.100391481336028
70.851409847693240.297180304613520.14859015230676
80.7729482942460780.4541034115078440.227051705753922
90.9333375381182990.1333249237634010.0666624618817007
100.9118209291970710.1763581416058570.0881790708029287
110.8708013541739340.2583972916521320.129198645826066
120.8200901889249340.3598196221501320.179909811075066
130.7774994513554650.4450010972890710.222500548644535
140.7685786514234360.4628426971531280.231421348576564
150.6952907134466070.6094185731067860.304709286553393
160.8876956597454140.2246086805091710.112304340254586
170.8775094414214390.2449811171571220.122490558578561
180.9327018067644570.1345963864710860.0672981932355431
190.9096493023400150.180701395319970.0903506976599851
200.8865025093976440.2269949812047110.113497490602356
210.84887545391950.3022490921610.1511245460805
220.7983648073336280.4032703853327430.201635192666372
230.7472373490381010.5055253019237990.252762650961899
240.843549035815680.3129019283686410.15645096418432
250.8652090551885310.2695818896229370.134790944811469
260.8860225589438170.2279548821123670.113977441056183
270.849802398937820.300395202124360.15019760106218
280.8089600635613280.3820798728773440.191039936438672
290.8304018880603480.3391962238793050.169598111939652
300.781734872436430.4365302551271390.21826512756357
310.7234065904489870.5531868191020260.276593409551013
320.9382458229039480.1235083541921050.0617541770960523
330.9363627640036670.1272744719926660.0636372359963332
340.9109319984145190.1781360031709620.0890680015854808
350.8929445688262670.2141108623474650.107055431173733
360.8650984245684710.2698031508630570.134901575431529
370.8171720066768330.3656559866463340.182827993323167
380.8513514677798810.2972970644402380.148648532220119
390.7995156262023870.4009687475952250.200484373797613
400.7932736426001790.4134527147996430.206726357399822
410.8112183792704310.3775632414591380.188781620729569
420.8987737395761930.2024525208476140.101226260423807
430.8540006207028010.2919987585943980.145999379297199
440.9662226456970490.0675547086059020.033777354302951
450.9549755239666080.09004895206678310.0450244760333916
460.9531858809247380.09362823815052330.0468141190752617
470.9704201343423830.05915973131523450.0295798656576173
480.9481624887591690.1036750224816630.0518375112408315
490.92086916802620.15826166394760.0791308319737999
500.9661960805175330.06760783896493490.0338039194824675
510.9637667654619190.0724664690761620.036233234538081
520.9274123565232350.1451752869535310.0725876434767653
530.860660897021810.2786782059563810.13933910297819
540.8039632026788450.3920735946423110.196036797321155
550.6581967931376240.6836064137247520.341803206862376


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 level60.117647058823529NOK