Multiple Linear Regression - Estimated Regression Equation
BEL20[t] = + 3339.86513177408 + 1304.98832890692`X `[t] -22.5208594318981t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3339.86513177408134.53613424.82500
`X `1304.98832890692124.82852810.454200
t-22.52085943189813.585925-6.280300


Multiple Linear Regression - Regression Statistics
Multiple R0.835206925173309
R-squared0.697570607857453
Adjusted R-squared0.686959050238417
F-TEST (value)65.7368722765109
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value1.55431223447522e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation475.167067871291
Sum Squared Residuals12869673.3161958


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12756.763317.34427234219-560.584272342194
22849.273294.82341291029-445.553412910291
32921.443272.30255347839-350.862553478391
42981.853249.78169404649-267.931694046493
53080.583227.26083461459-146.680834614595
63106.223204.73997518270-98.5199751826969
73119.313182.2191157508-62.9091157507986
83061.263159.6982563189-98.4382563189002
93097.313137.177396887-39.8673968870024
103161.693114.6565374551047.0334625448959
113257.163092.13567802321165.024321976794
123277.013069.61481859131207.395181408692
133295.323047.09395915941248.226040840590
143363.993024.57309972751339.416900272488
153494.173002.05224029561492.117759704387
163667.034284.51970977064-617.489709770638
173813.064261.99885033874-448.93885033874
183917.964239.47799090684-321.517990906842
193895.514216.95713147494-321.447131474943
203801.064194.43627204305-393.376272043046
213570.122866.92708370422703.192916295775
223701.614149.39455317925-447.784553179249
233862.274126.87369374735-264.603693747351
243970.14104.35283431545-134.252834315453
254138.524081.8319748835556.6880251164455
264199.754059.31111545166140.438884548343
274290.894036.79025601976254.099743980242
284443.914014.26939658786429.640603412139
294502.643991.74853715596510.891462844038
304356.983969.22767772406387.752322275935
314591.273946.70681829217644.563181707834
324696.963924.18595886027772.774041139732
334621.43901.66509942837719.73490057163
344562.843879.14423999647683.695760003529
354202.523856.62338056457345.896619435427
364296.493834.10252113268462.387478867324
374435.233811.58166170078623.648338299222
384105.183789.06080226888316.119197731121
394116.683766.53994283698350.140057163019
403844.493744.01908340508100.470916594917
413720.983721.49822397318-0.518223973184703
423674.43698.97736454129-24.5773645412865
433857.623676.45650510939181.163494890611
443801.063653.93564567749147.124354322510
453504.373631.41478624559-127.044786245592
463032.63608.89392681369-576.293926813694
473047.032281.38473847487765.645261525127
482962.343563.8522079499-601.512207949898
492197.823541.331348518-1343.511348518
502014.453518.8104890861-1504.3604890861
511862.832191.30130074728-328.471300747281
521905.412168.78044131538-263.370441315382
531810.992146.25958188348-335.269581883484
541670.072123.73872245159-453.668722451586
551864.442101.21786301969-236.777863019688
562052.022078.69700358779-26.6770035877898
572029.62056.17614415589-26.5761441558916
582070.832033.6552847239937.1747152760064
592293.412011.13442529210282.275574707905
602443.271988.61356586020454.656434139803


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.0001242091460684250.0002484182921368510.999875790853932
75.54915922406518e-050.0001109831844813040.99994450840776
80.0001251801270051820.0002503602540103640.999874819872995
93.64016714144054e-057.28033428288108e-050.999963598328586
105.39546348968978e-061.07909269793796e-050.99999460453651
116.84196580268048e-071.36839316053610e-060.99999931580342
127.69511262090618e-081.53902252418124e-070.999999923048874
138.73703521956666e-091.74740704391333e-080.999999991262965
148.88558719092688e-101.77711743818538e-090.999999999111441
153.06631004237721e-106.13262008475442e-100.99999999969337
164.59790369025354e-119.19580738050708e-110.999999999954021
171.61353527280524e-113.22707054561048e-110.999999999983865
188.8016062624149e-121.76032125248298e-110.999999999991198
191.48587334604746e-122.97174669209492e-120.999999999998514
202.13675350796598e-124.27350701593197e-120.999999999997863
216.07973410896417e-131.21594682179283e-120.999999999999392
226.97497282635232e-111.39499456527046e-100.99999999993025
236.16946446089152e-111.23389289217830e-100.999999999938305
243.36728872938233e-116.73457745876466e-110.999999999966327
253.71620200587646e-117.43240401175292e-110.999999999962838
264.53255388543792e-119.06510777087585e-110.999999999954674
278.15161214116907e-111.63032242823381e-100.999999999918484
284.7808271913803e-109.5616543827606e-100.999999999521917
291.14954052233281e-092.29908104466562e-090.99999999885046
305.23545498595001e-101.04709099719000e-090.999999999476455
315.44911830431442e-101.08982366086288e-090.999999999455088
327.1852006141997e-101.43704012283994e-090.99999999928148
332.24089271327725e-104.48178542655450e-100.99999999977591
346.403631128786e-111.2807262257572e-100.999999999935964
352.87751789060804e-095.75503578121607e-090.999999997122482
367.82228092667963e-091.56445618533593e-080.999999992177719
376.98647747021682e-091.39729549404336e-080.999999993013523
381.56956868939592e-073.13913737879185e-070.99999984304313
391.01446168510863e-062.02892337021725e-060.999998985538315
402.37600546629739e-054.75201093259477e-050.999976239945337
410.0002334142488635250.0004668284977270490.999766585751136
420.0009364527938402670.001872905587680530.99906354720616
430.002344552924206120.004689105848412240.997655447075794
440.01035907321204890.02071814642409770.989640926787951
450.05408454835643340.1081690967128670.945915451643567
460.1762988436560410.3525976873120820.823701156343959
470.7426009351304720.5147981297390550.257399064869528
480.99788282663350.004234346732999580.00211717336649979
490.9992109077213840.001578184557232650.000789092278616324
500.9989019926902120.002196014619575960.00109800730978798
510.998207439163950.003585121672101260.00179256083605063
520.9989011701294790.002197659741042890.00109882987052144
530.9983998926330880.003200214733824820.00160010736691241
540.9921584549024550.01568309019508970.00784154509754487


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level440.897959183673469NOK
5% type I error level460.938775510204082NOK
10% type I error level460.938775510204082NOK