Multiple Linear Regression - Estimated Regression Equation
Werkl[t] = -176351.657431817 + 0.682260307575196X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-176351.65743181712756.565583-13.824400
X0.6822603075751960.0227829.950300


Multiple Linear Regression - Regression Statistics
Multiple R0.964623948671983
R-squared0.930499362351528
Adjusted R-squared0.929462039401551
F-TEST (value)897.019932290117
F-TEST (DF numerator)1
F-TEST (DF denominator)67
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation7594.04708356363
Sum Squared Residuals3863859924.19455


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1216234207300.3700254048933.62997459586
2213587206296.7651129627290.23488703831
3209465202529.3236945316935.6763054686
4204045194524.3635057529520.63649424837
5200237189791.52375210210445.4762478975
6203666193926.0212160089739.97878399182
7241476228590.30292328912885.6970767113
8260307240347.69480373219959.3051962679
9243324241609.8763727461714.12362725380
10244460240730.4428362823729.55716371823
11233575229024.9027392144550.09726078587
12237217229902.9717550637314.02824493659
13235243226772.0792036018470.92079639916
14230354225758.2403865444595.75961345591
15227184222380.3696037394803.6303962607
16221678214651.7248395277026.27516047252
17217142210801.0476635736340.95233642693
18219452211873.5608670817578.43913291872
19256446247151.1945908729294.80540912806
20265845252710.93383730213134.0661626978
21248624252266.100116763-3642.10011676318
22241114241271.475260189-157.475260188899
23229245229868.858739685-623.85873968465
24231805231053.944893943751.055106057238
25219277228507.067165765-9230.06716576456
26219313226231.046779694-6918.0467796937
27212610219222.186639974-6612.18663997372
28214771215405.622479398-634.622479398071
29211142214429.990239566-3287.99023956554
30211457214543.927710931-3086.9277109306
31240048246354.314551624-6306.31455162411
32240636250612.983391508-9976.98339150848
33230580246592.423398968-16012.4233989679
34208795224561.555807057-15766.5558070572
35197922209631.653496389-11709.6534963892
36194596203854.273211842-9258.27321184243
37194581206107.096747456-11526.0967474557
38185686198109.641422059-12423.6414220593
39178106186387.72707761-8281.72707760984
40172608182462.001267822-9854.00126782216
41167302172309.285630796-5007.28563079567
42168053163865.6320642454187.36793575496
43202300202549.791503759-249.791503758653
44202388208846.37188237-6458.37188237014
45182516193199.413988441-10683.4139884406
46173476183247.282881841-9771.28288184121
47166444171496.031344166-5052.03134416603
48171297174506.163821188-3209.1638211878
49169701176323.705280568-6622.70528056812
50164182169937.066541357-5755.06654135672
51161914159744.7798064912169.22019350914
52159612158121.6825347691490.31746523053
53151001143871.9937507547129.00624924607
54158114149482.2202599458631.77974005523
55186530184140.3616244572389.63837554286
56187069187695.620087231-626.620087231485
57174330177021.657575218-2691.65757521755
58169362168990.77149475371.228505250083
59166827166051.594089716775.405910284033
60178037175790.8599803522246.14001964811
61186412184033.2467561682378.75324383216
62189226187046.108274422179.89172558010
63191563189559.5552475272003.44475247308
64188906189704.876693040-798.87669304044
65186005180877.7928336335127.20716636744
66195309189485.8711343095823.1288656912
67223532223841.771182565-309.771182565367
68226899230680.748505699-3781.74850569913
69214126219716.143102658-5590.14310265816


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.004919663945772730.009839327891545460.995080336054227
60.00065672404856040.00131344809712080.99934327595144
70.004437480928646680.008874961857293350.995562519071353
80.01683838465793930.03367676931587860.98316161534206
90.2318583310242100.4637166620484200.76814166897579
100.2334517138275290.4669034276550580.766548286172471
110.1947391371945130.3894782743890250.805260862805487
120.1442706659134640.2885413318269280.855729334086536
130.1088040479880610.2176080959761230.891195952011939
140.08933132606075670.1786626521215130.910668673939243
150.07179844693281720.1435968938656340.928201553067183
160.05439479379423930.1087895875884790.94560520620576
170.04188492629133110.08376985258266220.958115073708669
180.03331920863928940.06663841727857870.96668079136071
190.03925769267996650.07851538535993310.960742307320033
200.1335331980277260.2670663960554530.866466801972274
210.3366483041323950.673296608264790.663351695867605
220.4155382028058360.8310764056116730.584461797194164
230.4956246286317630.9912492572635250.504375371368237
240.5611531553595830.8776936892808340.438846844640417
250.8224261060931260.3551477878137480.177573893906874
260.8944332270228360.2111335459543280.105566772977164
270.9311678219816630.1376643560366740.0688321780183372
280.9329448562488180.1341102875023640.0670551437511819
290.9366184570991050.126763085801790.063381542900895
300.9373808859970540.1252382280058920.062619114002946
310.9485918755777060.1028162488445870.0514081244222936
320.9600392362685690.07992152746286220.0399607637314311
330.980909225320910.03818154935818010.0190907746790900
340.9944253873075470.01114922538490550.00557461269245276
350.9972203558789170.005559288242165340.00277964412108267
360.997805041114350.004389917771299750.00219495888564988
370.9987865557599780.002426888480044220.00121344424002211
380.9995888365270820.0008223269458350430.000411163472917521
390.9996679434058560.0006641131882887770.000332056594144389
400.9998487937229080.0003024125541834570.000151206277091728
410.9998108876791840.0003782246416316630.000189112320815831
420.9996832388843730.0006335222312530340.000316761115626517
430.9994096800306340.001180639938731410.000590319969365706
440.9990949530761740.001810093847652280.000905046923826138
450.9996646706032070.0006706587935860740.000335329396793037
460.99991742431960.0001651513608021948.25756804010972e-05
470.9999317482034310.0001365035931371726.82517965685861e-05
480.9999058594453240.0001882811093520249.41405546760121e-05
490.999973141043295.37179134199009e-052.68589567099505e-05
500.9999970191929075.96161418561084e-062.98080709280542e-06
510.9999925368163151.49263673709942e-057.46318368549712e-06
520.9999860282605432.79434789146822e-051.39717394573411e-05
530.9999651774426856.96451146296929e-053.48225573148465e-05
540.9999602230490727.95539018555393e-053.97769509277696e-05
550.9998853165196070.0002293669607867830.000114683480393392
560.9996824398285710.0006351203428576050.000317560171428803
570.9997222826862540.0005554346274931280.000277717313746564
580.9994949748000230.001010050399953070.000505025199976536
590.999411756389410.001176487221181820.000588243610590908
600.9984356936017950.003128612796409400.00156430639820470
610.9949425544220030.01011489115599440.00505744557799722
620.9844056591741140.03118868165177210.0155943408258860
630.9550386018965490.0899227962069020.044961398103451
640.944446682158720.111106635682560.05555331784128


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level290.483333333333333NOK
5% type I error level340.566666666666667NOK
10% type I error level390.65NOK