Multiple Linear Regression - Estimated Regression Equation
Gasverbruik[t] = + 222.10197368421 + 57.3933357699804M1[t] + 42.1313352826511M2[t] -9.68622076023393M3[t] -59.9482212475634M4[t] -122.876888401559M5[t] -155.027777777778M6[t] -161.734222709552M7[t] -166.329556530214M8[t] -163.147112573099M9[t] -144.52022417154M10[t] -88.1685550682261M11[t] -0.29355506822612t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)222.101973684216.56057733.85400
M157.39333576998048.1118787.075200
M242.13133528265118.110315.19481e-061e-06
M3-9.686220760233938.10909-1.19450.2353240.117662
M4-59.94822124756348.108218-7.393500
M5-122.8768884015598.107695-15.155600
M6-155.0277777777788.107521-19.121500
M7-161.7342227095528.107695-19.948200
M8-166.3295565302148.108218-20.513700
M9-163.1471125730998.10909-20.11900
M10-144.520224171548.11031-17.819300
M11-88.16855506822618.34274-10.568300
t-0.293555068226120.053164-5.521700


Multiple Linear Regression - Regression Statistics
Multiple R0.982436118051623
R-squared0.965180726052343
Adjusted R-squared0.96068791651071
F-TEST (value)214.827874876152
F-TEST (DF numerator)12
F-TEST (DF denominator)93
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation16.6851407940225
Sum Squared Residuals25890.634868421


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1302279.20175438596522.7982456140346
2262263.646198830409-1.64619883040935
3218211.5350877192986.46491228070171
4175160.97953216374314.0204678362573
510097.75730994152052.24269005847947
67765.31286549707611.687134502924
74358.3128654970759-15.3128654970759
84753.4239766081871-6.4239766081871
94956.312865497076-7.31286549707596
106974.6461988304094-5.64619883040938
11152130.70431286549721.295687134503
12205218.579312865497-13.5793128654971
13246275.679093567251-29.6790935672514
14294260.12353801169633.8764619883041
15242208.01242690058533.9875730994152
16181157.45687134502923.5431286549708
1710794.23464912280712.765350877193
185661.7902046783626-5.79020467836256
194954.7902046783626-5.79020467836257
204749.9013157894737-2.90131578947368
214752.7902046783626-5.79020467836257
227171.1235380116959-0.123538011695893
23151127.18165204678423.8183479532164
24244215.05665204678428.9433479532164
25280272.1564327485387.84356725146206
26230256.600877192982-26.6008771929824
27185204.489766081871-19.4897660818713
28148153.934210526316-5.93421052631577
299890.71198830409367.28801169590645
306158.26754385964912.73245614035088
314651.2675438596491-5.26754385964912
324546.3786549707602-1.37865497076023
335549.26754385964915.73245614035088
344867.6008771929824-19.6008771929824
35115123.65899122807-8.65899122807017
36185211.53399122807-26.5339912280702
37276268.6337719298247.36622807017551
38220253.078216374269-33.078216374269
39181200.967105263158-19.9671052631579
40151150.4115497076020.588450292397672
418387.1893274853801-4.18932748538011
425554.74488304093570.255116959064335
434947.74488304093571.25511695906432
444242.8559941520468-0.855994152046779
454645.74488304093570.255116959064323
467464.0782163742699.921783625731
47103120.136330409357-17.1363304093567
48200208.011330409357-8.01133040935672
49237265.111111111111-28.1111111111111
50247249.555555555556-2.55555555555555
51215197.44444444444417.5555555555556
52182146.88888888888935.1111111111111
538083.6666666666667-3.66666666666666
544651.2222222222222-5.22222222222222
556544.222222222222220.7777777777778
564039.33333333333330.666666666666666
574442.22222222222221.77777777777777
586360.55555555555562.44444444444445
5985116.613669590643-31.6136695906433
60185204.488669590643-19.4886695906433
61247261.588450292398-14.5884502923976
62231246.032894736842-15.0328947368421
63167193.921783625731-26.921783625731
64117143.366228070175-26.3662280701754
657980.1440058479532-1.14400584795321
664547.6995614035088-2.69956140350878
674040.6995614035088-0.69956140350878
683835.81067251461992.18932748538011
694138.69956140350882.30043859649122
706957.032894736842111.9671052631579
71152113.0910087719338.9089912280702
72232200.9660087719331.0339912280702
73282258.06578947368423.9342105263158
74255242.51023391812912.4897660818713
75161190.399122807018-29.3991228070176
76107139.843567251462-32.843567251462
775376.6213450292398-23.6213450292398
784044.1769005847953-4.17690058479532
793937.17690058479531.82309941520466
803432.28801169590641.71198830409355
813535.1769005847953-0.176900584795334
825653.51023391812872.48976608187134
8397109.568347953216-12.5683479532164
84210197.44334795321612.5566520467836
85260254.5431286549715.45687134502929
86257238.98757309941518.0124269005848
87210186.87646198830423.1235380116959
88125136.320906432749-11.3209064327485
898073.09868421052636.90131578947368
904240.65423976608191.34576023391813
913533.65423976608191.34576023391811
923128.7653508771932.234649122807
933231.65423976608190.34576023391811
945049.98757309941520.0124269005847873
9592106.045687134503-14.045687134503
96189193.920687134503-4.92068713450295
97256251.0204678362574.97953216374274
98250235.46491228070214.5350877192982
99198183.35380116959114.6461988304094
100136132.7982456140353.2017543859649
1017369.57602339181293.42397660818713
1023937.13157894736841.86842105263157
1033230.13157894736841.86842105263156
1043025.24269005847954.75730994152046
1053128.13157894736842.86842105263156
1064546.4649122807018-1.46491228070177


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.9718528962961310.05629420740773820.0281471037038691
170.9440383050907340.1119233898185310.0559616949092655
180.9243393158980060.1513213682039880.0756606841019941
190.8757140699130670.2485718601738670.124285930086933
200.8080735793397860.3838528413204280.191926420660214
210.7267143730509520.5465712538980950.273285626949048
220.6355239343056780.7289521313886440.364476065694322
230.5870809077576880.8258381844846250.412919092242312
240.7423192681894020.5153614636211960.257680731810598
250.6736250217947750.652749956410450.326374978205225
260.8861243488128020.2277513023743960.113875651187198
270.930873668126310.1382526637473790.0691263318736897
280.9182308362739390.1635383274521230.0817691637260613
290.8949665724728080.2100668550543840.105033427527192
300.8619453672360140.2761092655279730.138054632763986
310.8250290652091360.3499418695817280.174970934790864
320.7787858150945150.4424283698109690.221214184905485
330.7510067304826340.4979865390347320.248993269517366
340.723986001574880.552027996850240.27601399842512
350.7313170458130460.5373659083739090.268682954186954
360.7689339821441550.4621320357116910.231066017855845
370.7482157196283190.5035685607433610.25178428037168
380.8117265869884510.3765468260230990.188273413011549
390.7964940892100620.4070118215798770.203505910789938
400.7528311647676460.4943376704647080.247168835232354
410.6979609222741240.6040781554517520.302039077725876
420.6485883710539960.7028232578920090.351411628946004
430.6291437570350520.7417124859298960.370856242964948
440.5809547207555320.8380905584889360.419045279244468
450.5305663961223810.9388672077552380.469433603877619
460.5438677418369980.9122645163260040.456132258163002
470.5300272110147990.9399455779704010.469972788985201
480.4732521512573960.9465043025147930.526747848742604
490.5189814497637150.962037100472570.481018550236285
500.482756611441730.965513222883460.51724338855827
510.5361332031836380.9277335936327240.463866796816362
520.8313685754026320.3372628491947360.168631424597368
530.7912421030198670.4175157939602660.208757896980133
540.7428618097951550.5142763804096890.257138190204845
550.8195285513162040.3609428973675930.180471448683796
560.7814992852127180.4370014295745640.218500714787282
570.7433486730083510.5133026539832980.256651326991649
580.703596301301340.592807397397320.29640369869866
590.7861880577281330.4276238845437340.213811942271867
600.8044106440548980.3911787118902040.195589355945102
610.8001949425475420.3996101149049160.199805057452458
620.8212847112965960.3574305774068080.178715288703404
630.8722503535589990.2554992928820020.127749646441001
640.8823988004112570.2352023991774860.117601199588743
650.8472510538901070.3054978922197860.152748946109893
660.805282008788740.389435982422520.19471799121126
670.7590499864724880.4819000270550240.240950013527512
680.7104058007719290.5791883984561410.289594199228071
690.6547170900459580.6905658199080850.345282909954042
700.6339512311933580.7320975376132840.366048768806642
710.9478255817652880.1043488364694250.0521744182347125
720.9848397637940210.03032047241195730.0151602362059786
730.9931477531696290.01370449366074280.00685224683037139
740.9897630908161090.02047381836778110.0102369091838906
750.9997375636501110.0005248726997785610.000262436349889281
760.9999724336910265.51326179489232e-052.75663089744616e-05
770.9999998887028432.22594314127609e-071.11297157063805e-07
780.9999997384691845.23061632913532e-072.61530816456766e-07
790.9999989420999362.115800128032e-061.057900064016e-06
800.9999963173648187.36527036368866e-063.68263518184433e-06
810.9999879408767012.41182465972925e-051.20591232986463e-05
820.9999559027173998.81945652019552e-054.40972826009776e-05
830.9998468536300320.0003062927399364620.000153146369968231
840.9999659269335246.81461329512723e-053.40730664756362e-05
850.9998526053732210.000294789253557390.000147394626778695
860.9995251318180810.0009497363638377480.000474868181918874
870.9994405800516190.001118839896762610.000559419948381305
880.9999810409227333.79181545348366e-051.89590772674183e-05
890.9999629438543337.41122913343075e-053.70561456671537e-05
900.9994102527344570.001179494531085260.00058974726554263


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level160.213333333333333NOK
5% type I error level190.253333333333333NOK
10% type I error level200.266666666666667NOK