Multiple Linear Regression - Estimated Regression Equation
Y[t] = -98.9823530336727 -368.123436426008X[t] + 1.01130602561975Y1[t] + 0.163239051318856Y2[t] -0.210238226465953Y3[t] + 0.0225486848879357Y4[t] + 99.0580758997808M1[t] + 32.162636746199M2[t] -87.15409126129M3[t] + 89.5300852830297M4[t] + 212.316131005456M5[t] + 70.6363792115456M6[t] + 87.0167479026612M7[t] + 28.9732274452039M8[t] + 175.445037331277M9[t] + 104.148942223657M10[t] -24.9058248936815M11[t] + 3.29961068075524t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-98.9823530336727128.460069-0.77050.4430970.221549
X-368.123436426008114.42225-3.21720.0018250.000913
Y11.011306025619750.1068379.465900
Y20.1632390513188560.1508921.08180.2823550.141178
Y3-0.2102382264659530.150955-1.39270.1672940.083647
Y40.02254868488793570.1101490.20470.8382820.419141
M199.0580758997808127.6178610.77620.4397550.219878
M232.162636746199129.0215580.24930.8037380.401869
M3-87.15409126129128.571304-0.67790.4996770.249838
M489.5300852830297128.8426940.69490.4890040.244502
M5212.316131005456130.9117521.62180.1085010.054251
M670.6363792115456132.8004810.53190.5961680.298084
M787.0167479026612128.2266430.67860.4992030.249601
M828.9732274452039127.5452170.22720.8208380.410419
M9175.445037331277132.1870261.32720.1879390.09397
M10104.148942223657133.4079510.78070.4371340.218567
M11-24.9058248936815133.701838-0.18630.8526650.426332
t3.299610680755241.5269132.1610.0334780.016739


Multiple Linear Regression - Regression Statistics
Multiple R0.991889576646781
R-squared0.98384493226053
Adjusted R-squared0.980651488637612
F-TEST (value)308.082762194323
F-TEST (DF numerator)17
F-TEST (DF denominator)86
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation261.115658716006
Sum Squared Residuals5863599.30149564


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15246.245105.66272264824140.577277351759
25283.615165.99059612251117.619403877489
34979.055047.49149061088-68.4414906108815
44825.24915.19946281074-89.999462810743
54695.124829.84008153384-134.720081533839
64711.544599.66772316939111.872276830607
74727.224640.196935358787.023064641299
84384.964627.86936261506-242.909362615056
94378.754427.68552656915-48.9355265691532
104472.934294.61234803367178.317651966329
114564.074335.39797735055228.672022649453
124310.544464.73576444979-154.195764449786
134171.384305.63437799043-134.254377990430
144049.384042.881729494136.49827050587184
153591.373836.12571535685-244.755715356853
163720.463556.54604904229163.913950957711
174107.233760.92727103802346.302728961984
184101.714128.30276113591-26.592761135906
194162.344168.06912330494-5.72912330493626
204136.224095.3365891802340.8834108197734
214125.884238.47154990353-112.591549903529
224031.484142.88314474009-111.403144740094
233761.363926.83135693442-165.471356934416
243408.563668.03793403633-259.477934036331
253228.473389.12605741261-160.656057412614
263090.453140.4743433602-50.024343360197
272741.142923.56024316067-182.420243160672
282980.442757.66109488927222.778905110727
293104.333093.6875375624310.6424624375658
303181.573189.9873503425-8.41735034250093
312863.863249.81780448963-385.957804489627
322898.012865.7299280539632.2800719460411
333112.332984.72952635972127.600473640275
343254.333207.5872102974646.7427897025351
353513.473246.07932486798267.390675132015
363587.613515.2463301015472.3636698984587
373727.453709.8628191673117.5871808326886
383793.343748.5113478296344.8286521703705
393817.583712.21273755908105.367262440915
403845.133899.73844984517-54.608449845174
413931.864046.94311321104-115.083113211036
424197.523997.16033780145200.359662198552
434307.134294.4161158428912.7138841571073
444229.434376.27480079501-146.844800795008
454362.284411.46413578363-49.1841357836284
464217.344448.08205419727-230.742054197267
474361.284216.24158192204145.038418077961
484327.744336.67235752423-8.9323575242332
494417.654462.07499038366-44.4249903836563
504557.684450.4007521879107.279247812100
514650.354500.97068855122149.379311448784
524967.184777.87176769396189.308232306042
535123.425212.08456848621-88.66456848621
545290.855267.104625343523.7453746565051
555535.665417.0918513003118.568148699704
565514.065611.55336334789-97.4933633478846
575493.885747.7659461844-253.885946184393
585694.835608.1422487416986.6877512583095
595850.415692.37616333686158.033836663138
606116.645914.47903355625202.160966443753
6161756268.77105087234-93.7710508723453
626513.586279.47646964196234.103530358036
636383.786462.93037886737-79.150378867368
646673.666560.6497554437113.010244556301
656936.616888.8378562255647.7721437744357
667300.687098.62382627007202.056173729930
677392.937465.54302254721-72.6130225472122
687497.317514.77680617368-17.4668061736802
697584.717714.55489776069-129.844897760686
707160.797740.80027546532-580.010275465315
717196.197180.7348118356715.4551881643284
727245.637159.5189928174486.1110071825638
737347.517408.74925574395-61.2392557439527
747425.757439.25455214388-13.5045521438826
757778.517409.39685833856369.113141661441
767822.337938.59651900495-116.266519004953
778181.228152.4300343717228.7899656282821
788371.478311.7512203595359.7187796404691
798347.718581.15866923071-233.448669230713
808672.118458.97804407412213.131955925881
818802.798901.03325442694-98.243254426944
829138.469027.43413723667111.025862763333
839123.299193.73911622772-70.4491162277178
849023.218873.11491726677150.095082733225
858850.418804.160757058146.2492429418934
868864.588560.23251405402304.347485945982
879163.748451.03647319738712.703526802619
888516.668969.94816155378-453.288161553781
898553.448483.5970210738369.8429789261756
907555.28214.20863729087-659.008637290867
917851.227373.15303810825478.066961891751
9274427432.500822460279.49917753973168
937992.537427.44516301194565.084836988058
948264.047764.65858128783499.38141871217
957517.398096.05966752476-578.669667524761
967200.47288.52467024765-88.1246702476514
977193.696903.75796872334289.932031276658
986193.586944.72769516577-751.14769516577
995104.215866.00541435798-761.795414357984
1004800.464775.3087397161325.1512602838692
1014461.614626.49251649736-164.882516497358
1024398.594302.3235182867996.2664817132106
1034243.634242.253439817371.37656018262728
1044293.824084.9002832998208.919716700202


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.2401845394921710.4803690789843420.759815460507829
220.1186603925821540.2373207851643080.881339607417846
230.07913282300798270.1582656460159650.920867176992017
240.04460354322214740.08920708644429490.955396456777853
250.02155754968887750.0431150993777550.978442450311122
260.00958212291862850.0191642458372570.990417877081371
270.004111834309292890.008223668618585770.995888165690707
280.001630296708249570.003260593416499150.99836970329175
290.001492396666163010.002984793332326020.998507603333837
300.000593868218705680.001187736437411360.999406131781294
310.007202474375315290.01440494875063060.992797525624685
320.005029357717386320.01005871543477260.994970642282614
330.002738170306062610.005476340612125220.997261829693937
340.001535489308259390.003070978616518790.99846451069174
350.001935988317383650.00387197663476730.998064011682616
360.002769089467320090.005538178934640190.99723091053268
370.002601441733824420.005202883467648830.997398558266176
380.001449323995499450.002898647990998890.9985506760045
390.001970197776506340.003940395553012670.998029802223494
400.001374582260511990.002749164521023980.998625417739488
410.0007133655489708880.001426731097941780.99928663445103
420.0006260393625065510.001252078725013100.999373960637493
430.0003524586650906360.0007049173301812720.99964754133491
440.0001941799099164930.0003883598198329860.999805820090083
459.4531137611683e-050.0001890622752233660.999905468862388
468.43522245156038e-050.0001687044490312080.999915647775484
475.88068766096973e-050.0001176137532193950.99994119312339
483.11412180882889e-056.22824361765778e-050.999968858781912
491.61440557484732e-053.22881114969465e-050.999983855944252
507.75850748540692e-061.55170149708138e-050.999992241492515
516.26725837215696e-061.25345167443139e-050.999993732741628
523.1189535070213e-066.2379070140426e-060.999996881046493
531.56955638066552e-063.13911276133104e-060.99999843044362
546.42529010218063e-071.28505802043613e-060.99999935747099
553.60598839384855e-077.2119767876971e-070.99999963940116
561.89305559594072e-073.78611119188143e-070.99999981069444
571.83482921663495e-073.66965843326989e-070.999999816517078
581.02703685548449e-072.05407371096897e-070.999999897296314
594.35301331137472e-088.70602662274943e-080.999999956469867
605.73681277284943e-081.14736255456989e-070.999999942631872
613.29437749995893e-086.58875499991786e-080.999999967056225
622.74254697362237e-085.48509394724474e-080.99999997257453
631.44591816674560e-082.89183633349121e-080.999999985540818
646.0472472556768e-091.20944945113536e-080.999999993952753
652.10631599440343e-094.21263198880686e-090.999999997893684
661.22825959185453e-092.45651918370905e-090.99999999877174
674.97186915874119e-109.94373831748237e-100.999999999502813
681.90063812775519e-103.80127625551038e-100.999999999809936
691.52579864702703e-103.05159729405407e-100.99999999984742
702.49229821744063e-074.98459643488125e-070.999999750770178
712.17724393338283e-074.35448786676567e-070.999999782275607
721.23993445019537e-072.47986890039073e-070.999999876006555
732.66488933722338e-075.32977867444676e-070.999999733511066
742.90483673902845e-075.80967347805689e-070.999999709516326
756.7700106639264e-071.35400213278528e-060.999999322998934
766.20623046116621e-071.24124609223324e-060.999999379376954
772.84614531294319e-075.69229062588639e-070.999999715385469
781.25139566825248e-072.50279133650495e-070.999999874860433
796.77540030295558e-081.35508006059112e-070.999999932245997
804.25570312147019e-088.51140624294038e-080.999999957442969
813.26976979221641e-086.53953958443282e-080.999999967302302
825.09504805328779e-081.01900961065756e-070.99999994904952
831.43850597059107e-082.87701194118214e-080.99999998561494


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level550.873015873015873NOK
5% type I error level590.936507936507937NOK
10% type I error level600.952380952380952NOK