Multiple Linear Regression - Estimated Regression Equation
MVG[t] = -2483.04586878898 + 1.00137396200459VVG[t] + 1.46747387464075MWG[t] -1.3572137906666VWG[t] + 22.8242585256231t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-2483.04586878898298.380716-8.321700
VVG1.001373962004590.0225844.348700
MWG1.467473874640750.02651655.342800
VWG-1.35721379066660.046175-29.392800
t22.82425852562313.0316767.528600


Multiple Linear Regression - Regression Statistics
Multiple R0.999677367188303
R-squared0.999354838468536
Adjusted R-squared0.999330492750368
F-TEST (value)41048.4846474652
F-TEST (DF numerator)4
F-TEST (DF denominator)106
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation429.319196042256
Sum Squared Residuals19537387.0415792


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13302432070.7898740882953.21012591181
23252632057.039701527468.960298472994
33145530798.8866584117656.113341588317
43152431176.0525256848347.94747431524
53185631435.6050236641420.394976335913
63269632823.1480493243-127.148049324337
73258432864.6274711883-280.627471188324
83349833198.3788392018299.621160798237
93417534010.5528653446164.447134655358
103417234521.5511158768-349.551115876836
113437934181.7530590179197.246940982116
123498834651.3613364077336.638663592338
133615836808.6155007803-650.615500780322
143741137623.6719394855-212.671939485464
153801537679.5785882742335.421411725831
163757737642.4763706141-65.4763706141166
173635436393.6429905751-39.6429905751282
183603036329.6685986821-299.668598682088
193563635602.145207986933.8547920131406
203566935949.5474361326-280.547436132575
213463535017.8266760786-382.826676078603
223549635611.9601128726-115.96011287261
233637638083.8628206967-1707.86282069665
243763537510.5066152531124.493384746891
253887538003.0044130571871.995586942918
263837238986.5500404833-614.550040483321
273889738947.9820937353-50.9820937353079
283801838603.2482554442-585.248255444208
293732537988.8801456932-663.880145693237
303689336977.3702609017-84.3702609017504
313611735849.8713345109267.128665489119
323759937984.1076634104-385.10766341041
333903739363.0841718232-326.084171823196
344080941592.7372304336-783.737230433558
354250843367.4339941127-859.433994112713
364402144591.6318652923-570.631865292338
374408844256.6487419008-168.64874190081
384451044076.1419164338433.858083566161
394578645269.2204088755516.779591124522
404734947234.5700723092114.429927690809
414869648832.9676434395-136.967643439526
425059850724.9400272822-126.940027282195
435006649698.3355725551367.664427444864
444936748764.6817010854602.318298914582
454878448901.4817179168-117.481717916776
464784148774.264423973-933.264423973018
474830048141.9789629321158.021037067863
484751846734.2129040296783.787095970417
494650446247.2442113064256.755788693552
504514745183.762886201-36.7628862009958
514440444242.7906592677161.209340732273
524345543151.9875270528303.012472947232
534229941904.3315992332394.668400766769
544210541606.680592391498.319407609028
554015239360.8793306364791.120669363582
563951940160.7214944008-641.721494400753
573963339610.689420671322.3105793287444
583937639508.6346169593-132.63461695925
593885039410.1424985176-560.142498517628
603965738958.4971937495698.502806250501
613480433958.0283450466845.971654953362
623437234077.9229703344294.077029665575
633267832102.4403804764575.559619523602
642842027836.8262635847583.173736415253
652542025121.3525242914298.647475708564
662768327825.5468247213-142.546824721299
672990430030.8754483736-126.875448373585
683054629934.224659633611.775340366955
692914229292.5663191245-150.566319124497
702772427688.664128682735.3358713173421
712706926840.5435728895228.456427110545
722666527081.3559148503-416.355914850303
732600426379.0391371188-375.039137118803
742576726194.1637015731-427.163701573144
752491525168.641311076-253.641311075972
762368923766.5282990176-77.5282990175749
772091521355.0074577232-440.007457723182
781941419484.0718072347-70.0718072346651
791782417917.3564024146-93.3564024145704
801634816986.9107267413-638.910726741301
811557115148.9491399198422.050860080183
821392913932.5828661728-3.58286617280669
831248012802.3610014445-322.361001444468
841083710561.7419202249275.258079775125
8594739169.13164266455303.868357335449
8680517782.68568606419268.314313935808
8752785250.3228388599627.6771611400401
8830083000.135954170047.86404582995643
8924042406.61235018266-2.6123501826577
9022982620.21732905503-322.217329055027
9122602277.63446240079-17.6344624007866
9219382090.42689453036-152.42689453036
9313711966.28892161873-595.288921618726
9410091278.05974230588-269.059742305883
95686718.357821450235-32.3578214502351
96493521.35184877144-28.3518487714404
97285245.09330628782839.9066937121722
98192139.4405193362552.5594806637498
9912923.3158745870327105.684125412967
10060-71.8710694287905131.871069428791
10154-61.5637543029166115.563754302917
10226-84.6645602840976110.664560284098
10311-119.456972886871130.456972886871
1043-85.99860544863288.998605448632
1050-76.170177465078476.1701774650784
1062-60.802634234888962.8026342348889
1071-44.342459309955145.3424593099551
1080-16.734879755006216.7348797550062
10906.80105842793831-6.80105842793831
110027.6225690295535-27.6225690295535
111051.4482015171805-51.4482015171805


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3101088211584670.6202176423169350.689891178841533
90.1699519501420220.3399039002840450.830048049857978
100.08716824206243750.1743364841248750.912831757937563
110.05281346900429370.1056269380085870.947186530995706
120.1346707445902850.269341489180570.865329255409715
130.09262752576509050.1852550515301810.907372474234909
140.1493857650566590.2987715301133180.850614234943341
150.2362822658928030.4725645317856070.763717734107197
160.1975899225895460.3951798451790920.802410077410454
170.1754517468368820.3509034936737640.824548253163118
180.1221041674730860.2442083349461720.877895832526914
190.09978977486151560.1995795497230310.900210225138484
200.0679088735621330.1358177471242660.932091126437867
210.07800701803422420.1560140360684480.921992981965776
220.05344550527799660.1068910105559930.946554494722003
230.158256719566810.3165134391336190.84174328043319
240.145577603390270.291155206780540.85442239660973
250.2330477481280330.4660954962560650.766952251871967
260.2685915869243290.5371831738486580.731408413075671
270.4216252715764710.8432505431529420.578374728423529
280.374588004342350.74917600868470.62541199565765
290.3680093418891580.7360186837783160.631990658110842
300.3171846998144570.6343693996289130.682815300185543
310.2906855748913920.5813711497827850.709314425108608
320.2529504032743470.5059008065486950.747049596725653
330.2061488632880390.4122977265760770.793851136711961
340.2909347404531330.5818694809062660.709065259546867
350.4706556539141760.9413113078283520.529344346085824
360.5119147259481030.9761705481037950.488085274051897
370.5093254300624260.9813491398751470.490674569937574
380.493701115651360.987402231302720.50629888434864
390.6790423699585460.6419152600829090.320957630041454
400.6490354134492860.7019291731014290.350964586550714
410.6344964019813620.7310071960372750.365503598018638
420.6011758909698350.797648218060330.398824109030165
430.5684419323021330.8631161353957340.431558067697867
440.5818413799376970.8363172401246060.418158620062303
450.5780794647949990.8438410704100020.421920535205001
460.7775562670324380.4448874659351240.222443732967562
470.7361406904471050.527718619105790.263859309552895
480.8459111371038830.3081777257922340.154088862896117
490.8680925130173560.2638149739652870.131907486982644
500.8446193620189640.3107612759620720.155380637981036
510.8093502630840370.3812994738319250.190649736915963
520.7871491545722090.4257016908555830.212850845427791
530.8190945977055930.3618108045888140.180905402294407
540.8601042046275510.2797915907448990.139895795372449
550.9114972898133640.1770054203732710.0885027101866357
560.9397266390509830.1205467218980340.0602733609490169
570.926881532399180.146236935201640.0731184676008202
580.9266366739791660.1467266520416670.0733633260208337
590.9906910648393420.01861787032131540.00930893516065772
600.9923808256837190.01523834863256280.0076191743162814
610.9941824340361970.01163513192760610.00581756596380307
620.991271886511980.01745622697603880.00872811348801938
630.9934797618968470.0130404762063060.006520238103153
640.9958237448091580.008352510381683750.00417625519084188
650.9947286615991960.01054267680160830.00527133840080416
660.997924663256960.004150673486078470.00207533674303923
670.9996623112474560.0006753775050873290.000337688752543664
680.9999844497819533.11004360932258e-051.55502180466129e-05
690.9999856453439922.87093120169117e-051.43546560084559e-05
700.9999947111758321.0577648336823e-055.2888241684115e-06
710.9999999692654276.1469145022716e-083.0734572511358e-08
720.9999999909759661.80480687349028e-089.02403436745142e-09
730.9999999979109624.17807596978389e-092.08903798489194e-09
740.999999999086191.82761761520207e-099.13808807601037e-10
750.9999999996211147.57771379206755e-103.78885689603377e-10
760.9999999999997055.89073605579336e-132.94536802789668e-13
770.999999999999843.18496149342638e-131.59248074671319e-13
780.9999999999999975.81188876886085e-152.90594438443042e-15
790.9999999999999921.52183724001283e-147.60918620006413e-15
8017.74753668222133e-173.87376834111067e-17
8116.40319723692428e-173.20159861846214e-17
8212.32933498179951e-161.16466749089975e-16
8311.21216738274098e-156.0608369137049e-16
840.9999999999999968.42737211842327e-154.21368605921163e-15
850.9999999999999745.13141830531251e-142.56570915265626e-14
8611.22072277235199e-156.10361386175995e-16
870.9999999999999959.61019147277579e-154.80509573638789e-15
880.9999999999999588.43896331677452e-144.21948165838726e-14
890.9999999999998283.44390632207591e-131.72195316103796e-13
900.9999999999987192.5623850499768e-121.2811925249884e-12
9111.09519569867362e-195.47597849336812e-20
9211.67388638593663e-188.36943192968315e-19
9313.75392405123859e-171.87696202561929e-17
9417.05921775433126e-163.52960887716563e-16
9517.36526131175761e-203.6826306558788e-20
9612.35585815915701e-201.1779290795785e-20
9713.25030702888279e-181.62515351444139e-18
9813.21219697408307e-161.60609848704153e-16
990.9999999999999983.71777579133697e-151.85888789566848e-15
1000.9999999999999637.37083509111378e-143.68541754555689e-14
1010.9999999999913681.72644215605274e-118.6322107802637e-12
1020.999999999990911.81793000131201e-119.08965000656007e-12
1030.999999993835161.23296814358307e-086.16484071791537e-09


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level390.40625NOK
5% type I error level450.46875NOK
10% type I error level450.46875NOK