Multiple Linear Regression - Estimated Regression Equation
Energieprijsindex[t] = + 8.00420722973749 + 1.07246415184596totindusprodindex[t] -6.22216318831792Q1[t] -5.33459235212556Q2[t] + 3.70062778916478Q3[t] + 3.02642527434408t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8.0042072297374973.6272960.10870.9138260.456913
totindusprodindex1.072464151845960.736461.45620.1510110.075505
Q1-6.2221631883179216.973724-0.36660.7153420.357671
Q2-5.3345923521255618.188964-0.29330.7704060.385203
Q33.7006277891647816.9962720.21770.8284440.414222
t3.026425274344080.3522228.592400


Multiple Linear Regression - Regression Statistics
Multiple R0.787977569766432
R-squared0.620908650455013
Adjusted R-squared0.586445800496378
F-TEST (value)18.0167528570699
F-TEST (DF numerator)5
F-TEST (DF denominator)55
p-value1.52458712321391e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation46.4808264055017
Sum Squared Residuals118825.697283611


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1117.1106.79981015631410.3001898436863
2118.7112.7514881553585.94851184464198
3126.5141.650820754974-15.1508207549741
4127.5130.466469552063-2.96646955206286
5134.6121.37217880293613.2278211970637
6131.8140.300673039316-8.50067303931608
7135.9126.6231788106489.27682118935242
8142.7136.0301393231796.66986067682111
9141.7151.38803123614-9.6880312361401
10153.4151.2266635696622.17333643033807
11145156.424538413482-11.4245384134822
12137.7153.283668349416-15.5836683494158
13148.3142.5806813725205.71931862747976
14152.2147.8888808804564.31111911954351
15169.4169.3882108323350.0117891676646906
16168.6166.6763264290071.92367357099271
17161.1158.4400070013572.65999299864257
18174.1179.29893671106-5.19893671106007
19179155.96926511577823.0307348842221
20190.6171.16753204827719.4324679517227
21190186.7399167916083.26008320839226
22181.6182.824924593669-1.22492459366874
23174.8197.996716049656-23.1967160496564
24180.5190.351496547837-9.85149654783698
25196.8183.61662693277113.1833730672285
26193.8189.3538121014464.44618789855394
27197217.287926964401-20.2879269644007
28216.3200.74125500226015.5587449977402
29221.4207.41218728526913.9878127147313
30217.9216.3667649094811.53323509051879
31229.7197.11245709121432.5875429087863
32227.4212.63246326926714.7675367307331
33204.2224.772962726690-20.5729627266903
34196.6230.510147895365-33.9101478953649
35198.8238.710922364354-39.9109223643538
36207.5226.346860594412-18.8468605944122
37190.7227.440979287822-36.7409792878222
38201.6230.604250492066-29.0042504920665
39210.5257.144161957621-46.6441619576213
40223.5242.849664714357-19.3496647143569
41223.8243.08581208629-19.2858120862901
42231.2255.472274996410-24.2722749964097
43244241.0440558614492.95594413855106
44234.7252.917683923226-18.2176839232260
45250.2258.623398469574-8.42339846957358
46265.7273.154789683385-7.45478968338505
47287.6275.45701131722112.1429886827788
48283.3260.51903558284922.7809644171508
49295.4268.79866409362726.6013359063728
50312.3274.9648349230437.3351650769598
51333.8283.80908788313749.9909121168633
52347.7291.17836650716156.5216334928393
53383.2279.18842254805104.01157745195
54407.1290.395174891139116.704825108861
55413.6281.114783685039132.485216314961
56362.7284.51594494723378.1840550527672
57321.9299.5520976146422.3479023853598
58239.4302.286383158146-62.8863831581461
59191296.866862898691-105.866862898691
60159.7290.723093209456-131.023093209456
61163.4283.988223594391-120.588223594391


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.0002855111640381480.0005710223280762960.999714488835962
108.9179686443723e-050.0001783593728874460.999910820313556
111.49298498015162e-052.98596996030325e-050.999985070150198
121.85590972052239e-053.71181944104479e-050.999981440902795
132.23495716773956e-064.46991433547912e-060.999997765042832
142.36015983991667e-074.72031967983334e-070.999999763984016
151.00456449493701e-072.00912898987401e-070.99999989954355
162.30364935936087e-084.60729871872175e-080.999999976963506
172.81795211215379e-095.63590422430759e-090.999999997182048
183.36279369894091e-106.72558739788181e-100.99999999966372
196.81301711292285e-111.36260342258457e-100.99999999993187
206.04554157164597e-111.20910831432919e-100.999999999939545
211.16556418056542e-112.33112836113085e-110.999999999988344
221.61839197425718e-123.23678394851436e-120.999999999998382
231.62087272589024e-123.24174545178048e-120.999999999998379
244.26688036127809e-138.53376072255619e-130.999999999999573
256.27478712202247e-141.25495742440449e-130.999999999999937
267.62401354806323e-151.52480270961265e-140.999999999999992
279.49491367910636e-161.89898273582127e-151
285.29711701993917e-161.05942340398783e-151
292.39160882865998e-164.78321765731995e-161
303.65246498128505e-177.3049299625701e-171
313.02031153725308e-176.04062307450616e-171
325.41522820528595e-181.08304564105719e-171
337.5307202208982e-181.50614404417964e-171
343.53781628782863e-177.07563257565727e-171
358.74412788208518e-171.74882557641704e-161
366.89445448731108e-171.37889089746222e-161
376.47700700892697e-161.29540140178539e-151
384.75382369793854e-169.50764739587707e-161
395.77400140217404e-161.15480028043481e-151
401.27456509313913e-162.54913018627826e-161
412.68094047377385e-175.3618809475477e-171
427.77913076342767e-181.55582615268553e-171
431.20233984156447e-182.40467968312894e-181
443.51660902134046e-197.03321804268093e-191
452.24990170534993e-194.49980341069986e-191
461.82683186993496e-183.65366373986992e-181
471.58883086139002e-163.17766172278003e-161
483.69722051334623e-167.39444102669246e-161
493.47583543916558e-146.95167087833117e-140.999999999999965
502.31199336018357e-104.62398672036713e-100.9999999997688
511.74159116745418e-063.48318233490835e-060.999998258408832
520.0004918066140422170.0009836132280844340.999508193385958


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level441NOK
5% type I error level441NOK
10% type I error level441NOK