Multiple Linear Regression - Estimated Regression Equation
Inflatie[t] = + 2.27575757575757 + 0.198316498316499Kredietcrisis[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.275757575757570.2700028.428700
Kredietcrisis0.1983164983164990.4024950.49270.6240720.312036


Multiple Linear Regression - Regression Statistics
Multiple R0.0645620678760925
R-squared0.00416826060843718
Adjusted R-squared-0.0130012521396932
F-TEST (value)0.242771048286799
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.624072026784833
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.55104224087335
Sum Squared Residuals139.532457912458


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12.72.275757575757580.424242424242415
22.32.275757575757570.0242424242424247
31.92.27575757575758-0.375757575757575
422.27575757575758-0.275757575757575
52.32.275757575757580.0242424242424245
62.82.275757575757580.524242424242425
72.42.275757575757580.124242424242425
82.32.275757575757580.0242424242424245
92.72.275757575757580.424242424242425
102.72.275757575757580.424242424242425
112.92.275757575757580.624242424242425
1232.275757575757580.724242424242425
132.22.27575757575758-0.0757575757575752
142.32.275757575757580.0242424242424245
152.82.275757575757580.524242424242425
162.82.275757575757580.524242424242425
172.82.275757575757580.524242424242425
182.22.27575757575758-0.0757575757575752
192.62.275757575757580.324242424242425
202.82.275757575757580.524242424242425
212.52.275757575757580.224242424242425
222.42.275757575757580.124242424242425
232.32.275757575757580.0242424242424245
241.92.27575757575758-0.375757575757575
251.72.27575757575758-0.575757575757575
2622.27575757575758-0.275757575757575
272.12.27575757575758-0.175757575757575
281.72.27575757575758-0.575757575757575
291.82.27575757575758-0.475757575757575
301.82.27575757575758-0.475757575757575
311.82.27575757575758-0.475757575757575
321.32.27575757575758-0.975757575757575
331.32.27575757575758-0.975757575757575
341.32.47407407407407-1.17407407407407
351.22.47407407407407-1.27407407407407
361.42.47407407407407-1.07407407407407
372.22.47407407407407-0.274074074074074
382.92.474074074074070.425925925925926
393.12.474074074074070.625925925925926
403.52.474074074074071.02592592592593
413.62.474074074074071.12592592592593
424.42.474074074074071.92592592592593
434.12.474074074074071.62592592592593
445.12.474074074074072.62592592592593
455.82.474074074074073.32592592592593
465.92.474074074074073.42592592592593
475.42.474074074074072.92592592592593
485.52.474074074074073.02592592592593
494.82.474074074074072.32592592592593
503.22.474074074074070.725925925925926
512.72.474074074074070.225925925925926
522.12.47407407407407-0.374074074074074
531.92.47407407407407-0.574074074074074
540.62.47407407407407-1.87407407407407
550.72.47407407407407-1.77407407407407
56-0.22.47407407407407-2.67407407407407
57-12.47407407407407-3.47407407407407
58-1.72.47407407407407-4.17407407407407
59-0.72.47407407407407-3.17407407407407
60-12.47407407407407-3.47407407407407


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.01484714731051500.02969429462103000.985152852689485
60.007121763151642280.01424352630328460.992878236848358
70.001489148218483670.002978296436967340.998510851781516
80.0002829807427034360.0005659614854068710.999717019257297
98.62068375277507e-050.0001724136750555010.999913793162472
102.37142053068401e-054.74284106136803e-050.999976285794693
111.11213024583831e-052.22426049167663e-050.999988878697542
126.13621006065755e-061.22724201213151e-050.99999386378994
131.63514824760816e-063.27029649521633e-060.999998364851752
143.4989362679033e-076.9978725358066e-070.999999650106373
151.00669082576210e-072.01338165152421e-070.999999899330917
162.73770813866171e-085.47541627732342e-080.999999972622919
177.09143345714384e-091.41828669142877e-080.999999992908567
181.89934692735003e-093.79869385470006e-090.999999998100653
193.48674400143995e-106.9734880028799e-100.999999999651326
208.76708169097404e-111.75341633819481e-100.99999999991233
211.48077311051323e-112.96154622102647e-110.999999999985192
222.57682505134154e-125.15365010268308e-120.999999999997423
235.0822573453605e-131.0164514690721e-120.999999999999492
244.29231533160146e-138.58463066320292e-130.99999999999957
257.81642937451154e-131.56328587490231e-120.999999999999218
262.76958291020261e-135.53916582040522e-130.999999999999723
277.05741766811054e-141.41148353362211e-130.99999999999993
286.8669777446128e-141.37339554892256e-130.999999999999931
293.59891999722198e-147.19783999444396e-140.999999999999964
301.68716283761260e-143.37432567522521e-140.999999999999983
317.24654924290656e-151.44930984858131e-140.999999999999993
322.06059776094847e-144.12119552189693e-140.99999999999998
333.59938477203944e-147.19876954407888e-140.999999999999964
348.06824261346828e-151.61364852269366e-140.999999999999992
351.86609812632569e-153.73219625265138e-150.999999999999998
364.13357516356128e-168.26715032712256e-161
372.94960222944211e-165.89920445888422e-161
381.11808767164257e-152.23617534328514e-150.999999999999999
392.46938831972150e-154.93877663944299e-150.999999999999998
408.98375204738692e-151.79675040947738e-140.99999999999999
411.80965549389571e-143.61931098779141e-140.999999999999982
423.07740191073765e-136.15480382147531e-130.999999999999692
436.4945000692612e-131.29890001385224e-120.99999999999935
442.23531161926481e-114.47062323852962e-110.999999999977647
453.24446566878358e-096.48893133756716e-090.999999996755534
462.54308988515684e-075.08617977031368e-070.999999745691011
474.59265107849147e-069.18530215698294e-060.999995407348921
480.0002053379387831620.0004106758775663240.999794662061217
490.004939042293655060.009878084587310120.995060957706345
500.01824372602129390.03648745204258770.981756273978706
510.06278644252771070.1255728850554210.93721355747229
520.1661869078260780.3323738156521570.833813092173922
530.4818762913152360.9637525826304710.518123708684764
540.5816171570097020.8367656859805970.418382842990298
550.8178909462906410.3642181074187180.182109053709359


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level430.843137254901961NOK
5% type I error level460.901960784313726NOK
10% type I error level460.901960784313726NOK