Multiple Linear Regression - Estimated Regression Equation
energy[t] = + 101.875830255068 + 0.0443398418083961durable_consumer_goods[t] -0.155870645892213intermediate_and_capital_goods[t] + 0.117755873301143`non-durable_consumer_goods`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)101.8758302550688.39451112.13600
durable_consumer_goods0.04433984180839610.0735950.60250.5492860.274643
intermediate_and_capital_goods-0.1558706458922130.07174-2.17270.034050.017025
`non-durable_consumer_goods`0.1177558733011430.0849551.38610.1712140.085607


Multiple Linear Regression - Regression Statistics
Multiple R0.328966128052005
R-squared0.108218713405528
Adjusted R-squared0.0604447159093957
F-TEST (value)2.26522206801491
F-TEST (DF numerator)3
F-TEST (DF denominator)56
p-value0.0908442510754697
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.61484863928228
Sum Squared Residuals1192.62236595519


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1100.4101.820757354029-1.42075735402866
2108.6100.600721653997.99927834601037
3109.9100.9956220397398.90437796026052
4109.5102.551958152886.94804184712032
5109.2100.7789759136358.42102408636549
6100.9100.3066177474780.593382252521533
798.4101.248538550599-2.8485385505989
894.299.7145916824625-5.51459168246248
994.7100.082017567926-5.38201756792634
1095.299.9782093813536-4.77820938135359
11100.3101.476825984999-1.17682598499854
12100.9101.844842372912-0.944842372911753
1397.9102.296780721706-4.39678072170587
14106.9102.7004250420774.19957495792306
15100.8103.75477611414-2.95477611413984
16106.6106.603154705531-0.00315470553094033
17108.2104.3606125671683.83938743283211
1898.4104.284743032169-5.88474303216892
19102105.146523023579-3.14652302357897
2095.7104.410983583645-8.71098358364543
21100.8102.956907196942-2.1569071969425
2298.8104.15620614774-5.35620614774009
2399.6105.276282659055-5.67628265905533
24106.1104.360780885091.73921911490987
25106.3104.1160477764612.18395222353945
26105.7103.9390705143331.76092948566677
27103.7104.193646369227-0.493646369226621
28111.2105.7917368590555.40826314094538
29114.8104.47507088285610.324929117144
30103.6105.059810502922-1.45981050292196
31107104.6694160381722.33058396182841
32104.8102.8192631274171.98073687258343
33104.7102.7448125346361.95518746536389
34102103.757836404752-1.75783640475211
35103.4104.536154014122-1.1361540141217
36107104.2194172204992.78058277950139
37104102.8895643484761.11043565152388
38105.4103.0354815320792.36451846792111
39107.9104.24724834363.65275165639952
40110.1105.587540965724.51245903428014
41111102.8494458679468.1505541320537
4298.5103.806581540099-5.30658154009897
43101.9104.863978368039-2.96397836803849
44103.4103.2113875616630.188612438336782
45102.9102.4109178272160.489082172783956
46101102.866743082933-1.86674308293324
47103.4104.525898217083-1.12589821708299
48107.2105.8146166701641.38538332983599
49104.5104.309561136580.190438863419586
50104.7103.779185625090.920814374910085
51107103.3648047775863.6351952224135
52110.3104.0705193168276.22948068317303
53107.9103.3267897942654.57321020573544
5497.1103.267281590691-6.16728159069122
5598.6103.797480950721-5.19748095072115
5695.3102.369248737002-7.06924873700249
57101.7102.208810090102-0.508810090102391
5896.3103.025056305575-6.7250563055752
5999104.208085765544-5.20808576554414
60104105.433635259702-1.43363525970189


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.9080129792501710.1839740414996570.0919870207498286
80.9392186656054480.1215626687891040.060781334394552
90.9039246846964540.1921506306070910.0960753153035457
100.8684700537712630.2630598924574740.131529946228737
110.9286155713243160.1427688573513670.0713844286756836
120.8847086584535730.2305826830928530.115291341546427
130.9471778069728990.1056443860542010.0528221930271007
140.9283724533932720.1432550932134550.0716275466067277
150.9242058019301080.1515883961397840.075794198069892
160.8866522129313360.2266955741373290.113347787068664
170.8555064721349820.2889870557300360.144493527865018
180.8890817430185980.2218365139628040.110918256981402
190.8624096909696650.2751806180606710.137590309030335
200.9316768813177990.1366462373644020.068323118682201
210.9041900341884390.1916199316231220.0958099658115611
220.9085061330561480.1829877338877040.091493866943852
230.9240051970713110.1519896058573770.0759948029286886
240.9071886756483380.1856226487033250.0928113243516623
250.878033009015230.243933981969540.12196699098477
260.8425111898645220.3149776202709570.157488810135478
270.7938699105559370.4122601788881270.206130089444063
280.8088738525040560.3822522949918870.191126147495944
290.9442896767112470.1114206465775050.0557103232887525
300.9213493311538710.1573013376922570.0786506688461286
310.8981783190862340.2036433618275330.101821680913766
320.8669463892921610.2661072214156770.133053610707839
330.8286551795144420.3426896409711160.171344820485558
340.7795636318720010.4408727362559980.220436368127999
350.734931777857550.5301364442849010.26506822214245
360.6819752724906290.6360494550187420.318024727509371
370.6161092484690260.7677815030619470.383890751530974
380.5644692568205570.8710614863588850.435530743179443
390.5309029993521340.9381940012957310.469097000647866
400.5548930877692260.8902138244615470.445106912230774
410.735922411128190.528155177743620.26407758887181
420.7303320566852840.5393358866294320.269667943314716
430.723618497248870.5527630055022610.27638150275113
440.6380606947865920.7238786104268160.361939305213408
450.5443025271160850.9113949457678290.455697472883915
460.4773046409529290.9546092819058590.522695359047071
470.3789672448825180.7579344897650350.621032755117482
480.2886557850160210.5773115700320430.711344214983979
490.2020336835682150.404067367136430.797966316431785
500.1310112800590620.2620225601181240.868988719940938
510.116146219239550.23229243847910.88385378076045
520.2687792760878240.5375585521756480.731220723912176
530.6182142843218820.7635714313562370.381785715678118


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK