Multiple Linear Regression - Estimated Regression Equation
Super95[t] = -0.00248381772087863 + 0.97947458025983Super98[t] + 0.0130008809431486Diesel[t] -0.0133885092431644Gasolie[t] + 0.00384030378759557LPG[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.002483817720878630.007972-0.31160.7568420.378421
Super980.979474580259830.006689146.424800
Diesel0.01300088094314860.0132810.97890.3329840.166492
Gasolie-0.01338850924316440.014757-0.90730.369210.184605
LPG0.003840303787595570.0047250.81280.4207160.210358


Multiple Linear Regression - Regression Statistics
Multiple R0.999791225570011
R-squared0.999582494726785
Adjusted R-squared0.999544539701948
F-TEST (value)26335.9726149891
F-TEST (DF numerator)4
F-TEST (DF denominator)44
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.000561483509472919
Sum Squared Residuals1.38716041820411e-05


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.4641.463595187916270.000404812083733953
21.4641.463595187916270.000404812083733774
31.4641.463583910999310.000416089000685684
41.4641.463583910999310.000416089000685684
51.4641.463583910999310.000416089000685684
61.4641.463583910999310.000416089000685684
71.4981.49884499588867-0.00084499588866797
81.4981.49884499588867-0.00084499588866797
91.4981.49884499588867-0.00084499588866797
101.4981.49912533806516-0.00112533806516245
111.4981.49912533806516-0.00112533806516245
121.4981.49912533806516-0.00112533806516245
131.4981.4991431639365-0.00114316393649693
141.5381.537342672566630.000657327433369591
151.5381.537342672566630.000657327433369591
161.5381.537342672566630.000657327433369591
171.5381.537342672566630.000657327433369591
181.5381.537342672566630.000657327433369591
191.5381.537342672566630.000657327433369591
201.5381.537315790440120.00068420955988276
211.5381.537315790440120.00068420955988276
221.5111.51086997677310.000130023226898166
231.5111.51086997677310.000130023226898166
241.5111.51086997677310.000130023226898166
251.5111.51086997677310.000130023226898166
261.5111.51086997677310.000130023226898166
271.5111.51086997677310.000130023226898166
281.5111.51086997677310.000130023226898166
291.5111.51086997677310.000130023226898166
301.5111.51086997677310.000130023226898166
311.5441.5441767615263-0.000176761526303013
321.5441.5441767615263-0.000176761526303013
331.5441.5441767615263-0.000176761526303013
341.5441.5441767615263-0.000176761526303013
351.5441.5441767615263-0.000176761526303013
361.5441.5441767615263-0.000176761526303013
371.5441.5441767615263-0.000176761526303013
381.5441.5441767615263-0.000176761526303013
391.5441.5441767615263-0.000176761526303013
401.5441.5441767615263-0.000176761526303013
411.5441.54437230515376-0.000372305153756167
421.5241.52380333896830.000196661031700155
431.5241.52380333896830.000196661031700155
441.5241.52380333896830.000196661031700155
451.5241.52380333896830.000196661031700155
461.5241.52380333896830.000196661031700155
471.5241.52380333896830.000196661031700155
481.5241.523840684009170.000159315990825204
491.5581.55910176889853-0.00110176889852868


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
87.98365832036863e-401.59673166407373e-391
98.96017220922493e-501.79203444184499e-491
102.16880276269315e-724.33760552538629e-721
115.48947691168286e-751.09789538233657e-741
121.32917535700119e-852.65835071400238e-851
134.34746551731754e-1118.69493103463509e-1111
140.9999922615156791.54769686415272e-057.73848432076361e-06
150.9999967528228626.49435427518717e-063.24717713759359e-06
160.9999953512782549.29744349214836e-064.64872174607418e-06
170.9999906779587171.86440825667158e-059.32204128335792e-06
180.9999790230723114.19538553771305e-052.09769276885653e-05
190.9999511243686489.77512627042291e-054.88756313521145e-05
200.9999798912168064.02175663877038e-052.01087831938519e-05
210.9999997902948584.19410285032729e-072.09705142516365e-07
220.9999995289166679.42166666326614e-074.71083333163307e-07
230.9999988663583032.26728339456737e-061.13364169728368e-06
240.9999972698614815.46027703754306e-062.73013851877153e-06
250.9999937035350261.25929299477385e-056.29646497386926e-06
260.9999866999671052.66000657901359e-051.3300032895068e-05
270.9999760657081864.78685836271258e-052.39342918135629e-05
280.9999692459164546.15081670925856e-053.07540835462928e-05
290.999985908582942.81828341208685e-051.40914170604342e-05
300.9999999999999813.77350945840085e-141.88675472920042e-14
310.999999999999862.79161885076541e-131.39580942538271e-13
320.9999999999985412.91741145727446e-121.45870572863723e-12
330.9999999999825183.49646313586391e-111.74823156793196e-11
340.9999999997798814.40237263382954e-102.20118631691477e-10
350.9999999972158875.56822520163284e-092.78411260081642e-09
360.9999999655594066.88811876062237e-083.44405938031118e-08
370.9999995909592968.18081408837048e-074.09040704418524e-07
380.9999954048576669.190284668306e-064.595142334153e-06
390.9999518498073769.63003852484913e-054.81501926242456e-05
400.9995364414265070.0009271171469850570.000463558573492528
4112.67471392728967e-371.33735696364484e-37


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level341NOK
5% type I error level341NOK
10% type I error level341NOK