Multiple Linear Regression - Estimated Regression Equation
Werklozen[t] = + 99575.037037037 + 322135.056712963Oliecrisis[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)99575.03703703720048.9863244.96667e-063e-06
Oliecrisis322135.05671296327223.46718811.83300


Multiple Linear Regression - Regression Statistics
Multiple R0.843023613462403
R-squared0.710688812855207
Adjusted R-squared0.705613177993017
F-TEST (value)140.019688600818
F-TEST (DF numerator)1
F-TEST (DF denominator)57
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation104177.58885821
Sum Squared Residuals618619291157.682


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13670099575.0370370368-62875.0370370368
23560099575.037037037-63975.037037037
38090099575.037037037-18675.0370370371
417400099575.03703703774424.962962963
516942299575.03703703769846.962962963
615345299575.03703703753876.962962963
717357099575.03703703773994.962962963
819303699575.03703703793460.962962963
917465299575.03703703775076.962962963
1010536799575.0370370375791.96296296294
119596399575.037037037-3612.03703703706
128289699575.037037037-16679.0370370371
1312174799575.03703703722171.962962963
1412019699575.03703703720620.962962963
1510398399575.0370370374407.96296296294
168110399575.037037037-18472.0370370371
177094499575.037037037-28631.0370370371
185724899575.037037037-42327.0370370371
194783099575.037037037-51745.037037037
206009599575.037037037-39480.0370370371
216093199575.037037037-38644.0370370371
228295599575.037037037-16620.0370370371
239955999575.037037037-16.0370370370585
247791199575.037037037-21664.0370370371
257075399575.037037037-28822.0370370371
266928799575.037037037-30288.0370370371
278842699575.037037037-11149.0370370371
2891756421710.09375-329954.09375
2996933421710.09375-324777.09375
30174484421710.09375-247226.09375
31232595421710.09375-189115.09375
32266197421710.09375-155513.09375
33290435421710.09375-131275.09375
34304296421710.09375-117414.09375
35322310421710.09375-99400.09375
36415555421710.09375-6155.09375000001
37490042421710.0937568331.90625
38545109421710.09375123398.90625
39545720421710.09375124009.90625
40505944421710.0937584233.90625
41477930421710.0937556219.90625
42466106421710.0937544395.90625
43424476421710.093752765.90624999999
44383018421710.09375-38692.09375
45364696421710.09375-57014.09375
46391116421710.09375-30594.09375
47435721421710.0937514010.90625
48511435421710.0937589724.90625
49553997421710.09375132286.90625
50555252421710.09375133541.90625
51544897421710.09375123186.90625
52540562421710.09375118851.90625
53505282421710.0937583571.90625
54507626421710.0937585915.90625
55474427421710.0937552716.90625
56469740421710.0937548029.90625
57491480421710.0937569769.90625
58538974421710.09375117263.90625
59576612421710.09375154901.90625


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.3453941455412180.6907882910824360.654605854458782
60.2310496856811110.4620993713622220.768950314318889
70.1685135384691440.3370270769382870.831486461530856
80.1381742133918070.2763484267836150.861825786608193
90.09165383454027250.1833076690805450.908346165459728
100.05172800071783970.1034560014356790.94827199928216
110.02902834741864720.05805669483729440.970971652581353
120.01703462509140960.03406925018281920.98296537490859
130.00814114616093970.01628229232187940.99185885383906
140.003720449573430880.007440899146861750.99627955042657
150.001688698691291130.003377397382582250.998311301308709
160.0008803341648984740.001760668329796950.999119665835101
170.0004978665695429090.0009957331390858170.999502133430457
180.0003296583480743330.0006593166961486670.999670341651926
190.0002409551589488210.0004819103178976410.999759044841051
200.0001356376849348360.0002712753698696710.999864362315065
217.2320726006622e-050.0001446414520132440.999927679273993
222.98652381114838e-055.97304762229676e-050.999970134761889
231.12212260009763e-052.24424520019525e-050.999988778774
244.49136513112213e-068.98273026224426e-060.999995508634869
251.86000407651311e-063.72000815302621e-060.999998139995923
267.57223685234961e-071.51444737046992e-060.999999242776315
272.56069280100798e-075.12138560201595e-070.99999974393072
288.47799445077914e-071.69559889015583e-060.999999152200555
296.40985003667144e-061.28197000733429e-050.999993590149963
306.41358874729609e-050.0001282717749459220.999935864112527
310.000755377312647050.00151075462529410.999244622687353
320.006440135836958420.01288027167391680.993559864163042
330.03663375131291930.07326750262583860.96336624868708
340.1450082591320.2900165182640010.854991740868
350.397767297921650.79553459584330.60223270207835
360.6441719512856970.7116560974286050.355828048714303
370.827122890617290.345754218765420.17287710938271
380.9359386963709490.1281226072581030.0640613036290515
390.9672812970133030.06543740597339450.0327187029866973
400.9672750968970310.06544980620593730.0327249031029687
410.958379624404280.08324075119143860.0416203755957193
420.944156735532910.1116865289341810.0558432644670906
430.933511764204660.132976471590680.0664882357953402
440.951641636844710.096716726310580.04835836315529
450.985338489919970.0293230201600610.0146615100800305
460.9971121429440340.005775714111931480.00288785705596574
470.9989360182079520.002127963584095640.00106398179204782
480.99765616085440.004687678291201330.00234383914560066
490.9962945277521270.00741094449574670.00370547224787335
500.9942063391455460.01158732170890720.00579366085445359
510.988726777004370.02254644599125820.0112732229956291
520.9767491310058890.04650173798822260.0232508689941113
530.9392000002376550.1215999995246890.0607999997623445
540.8527560861198930.2944878277602150.147243913880107


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level220.44NOK
5% type I error level290.58NOK
10% type I error level350.7NOK