Multiple Linear Regression - Estimated Regression Equation
QBEPIL[t] = + 0.13092809560212 -0.965391719746462PBEPIL[t] + 0.0726768479056838PBELUX[t] + 0.0249194280100807PBABD[t] -0.175431578573902PBFRU[t] -0.32265123644768PBEPAL[t] -0.126528622098074PBESTO[t] + 0.283699695169786PBEWIT[t] + 0.115370247801717PBENA[t] -0.0127587588377971PCHSAN[t] -0.161931944644183PWABR[t] + 0.110141558184619PSOCOLA[t] -0.165755390119786PSOBIT[t] -0.276345162564919PSPORT[t] + 0.994011328932661BUDBEER[t] + 0.0564059090374617BUDCHIL[t] -0.332643182408528BUDAMB[t] + 0.265561059722925BUDWATER[t] -0.0351291352891992BUDSISSS[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.130928095602120.5672310.23080.817880.40894
PBEPIL-0.9653917197464620.169144-5.707500
PBELUX0.07267684790568380.1012290.71790.4742990.23715
PBABD0.02491942801008070.0570640.43670.6631830.331592
PBFRU-0.1754315785739020.127985-1.37070.1732260.086613
PBEPAL-0.322651236447680.098239-3.28440.0013680.000684
PBESTO-0.1265286220980740.080692-1.5680.1197170.059858
PBEWIT0.2836996951697860.1210282.34410.0208530.010426
PBENA0.1153702478017170.1972440.58490.5597950.279897
PCHSAN-0.01275875883779710.079096-0.16130.8721450.436072
PWABR-0.1619319446441830.114502-1.41420.1600940.080047
PSOCOLA0.1101415581846190.1320540.83410.4060340.203017
PSOBIT-0.1657553901197860.133267-1.24380.2161990.108099
PSPORT-0.2763451625649190.08472-3.26180.0014710.000735
BUDBEER0.9940113289326610.03284830.261300
BUDCHIL0.05640590903746170.0187513.00820.0032520.001626
BUDAMB-0.3326431824085280.037748-8.812100
BUDWATER0.2655610597229250.0266889.950600
BUDSISSS-0.03512913528919920.027132-1.29470.1980980.099049


Multiple Linear Regression - Regression Statistics
Multiple R0.983383587140146
R-squared0.967043279456622
Adjusted R-squared0.961698946395533
F-TEST (value)180.947420080829
F-TEST (DF numerator)18
F-TEST (DF denominator)111
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0222169480518623
Sum Squared Residuals0.0547887986620453


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
115.2715.2826400794711-0.0126400794711274
215.1815.1925780798314-0.0125780798314214
315.1315.1217700666550.00822993334495348
415.1415.12248624670380.0175137532961766
515.115.08839907849150.0116009215084856
615.1715.13894697903160.0310530209684475
715.1115.09629413089110.0137058691088807
815.0915.08694104479940.00305895520056644
915.115.07921418446080.0207858155391562
1015.0615.080819268039-0.0208192680389654
1115.0315.0450311776033-0.0150311776032828
1215.0315.0749945416163-0.0449945416162635
1315.1315.1368276592425-0.00682765924252644
1415.0215.0363416643643-0.0163416643642725
1515.0115.0245190142643-0.0145190142643286
1615.0415.03483693401660.00516306598336261
1715.0215.0325888207322-0.0125888207322283
181515.030881321354-0.0308813213540419
1915.1315.1622776257355-0.0322776257354772
2015.0615.05611152429840.00388847570155548
2114.914.9135497983811-0.0135497983811083
2214.9114.89732742938850.0126725706114548
2314.9214.90854280866540.0114571913345518
2414.9714.95374335706460.0162566429353979
2514.9714.94369881740490.0263011825950855
2615.0315.01901758027050.0109824197295447
2715.0114.994668344720.0153316552799766
2815.0215.01243193249610.0075680675038759
2914.9814.9825357622808-0.00253576228077316
3015.0315.02188166756030.00811833243972474
3114.9914.97760608801850.0123939119814932
3215.0515.04463575568750.00536424431249411
3315.0415.0485985609887-0.00859856098873236
3415.1115.1212159389511-0.0112159389511336
3515.1415.1563443701894-0.0163443701893607
3615.0615.0640995976528-0.00409959765278155
3715.115.1078981690388-0.00789816903880273
3815.215.2111813037661-0.0111813037661344
3915.1315.12544118884010.00455881115985261
4015.2115.1576155167480.0523844832519675
4115.1715.1779682767948-0.00796827679482645
4215.1815.187289384333-0.0072893843330293
4315.2115.2157155493957-0.00571554939569099
4415.2515.2706593051376-0.0206593051376366
4515.1815.1658760033440.0141239966559557
4615.1915.1907463944392-0.000746394439168164
4715.2515.24341711836080.00658288163916944
4815.2115.2181136499266-0.0081136499266401
4915.215.2051873948611-0.00518739486107712
5015.2815.2803121739991-0.00031217399911541
5115.4115.40424485120480.0057551487952284
5215.4515.4538606631843-0.00386066318427684
5315.3115.3193450779308-0.0093450779308306
5415.1915.18794024244910.00205975755093465
5515.1815.1468732998620.0331267001379809
5615.2615.2076898603520.0523101396480299
5715.2415.21714844063630.0228515593636781
5815.1415.12947631865860.0105236813414218
5915.0815.0867572186061-0.00675721860609976
6015.1215.1294879583488-0.00948795834878799
6115.1115.10361463197120.00638536802884227
6215.0815.04024592062060.0397540793793959
6315.0615.0633629465879-0.00336294658786801
6415.1715.16400857038190.00599142961813705
6515.1115.09075976427010.0192402357298724
6615.0315.0592055660217-0.0292055660217504
6715.0215.01832569060350.00167430939651892
6815.0215.0240904833439-0.00409048334393806
6915.0415.0555655838472-0.0155655838471837
7015.0115.0431006159508-0.0331006159508107
7115.0615.0674905606465-0.00749056064645165
7215.0915.1040482293134-0.0140482293134122
7315.1115.09115683902880.018843160971234
7414.9414.9594244301162-0.0194244301162209
7514.9414.93770410120970.00229589879034761
7614.9714.9712833624618-0.00128336246183767
7714.9914.97388719901570.0161128009842672
7815.0615.05000100840610.00999899159385736
7915.0315.0415918121439-0.0115918121439201
801515.0433949878574-0.0433949878573777
8115.0115.00486409538440.00513590461557218
8215.0215.00823858261030.0117614173896677
8315.0315.02135336667230.00864663332766472
8415.0815.07932756422180.000672435778162952
8515.1315.1340836232586-0.0040836232586152
8615.1515.14888298001730.0011170199826795
8715.1415.12214283360390.0178571663961068
8815.115.1390672720908-0.0390672720908314
8915.1215.09823005407730.0217699459226564
9015.2315.2325149550511-0.00251495505105216
9115.2415.23708211215780.00291788784216028
9215.1915.2164845074692-0.0264845074691971
9315.2115.2113463290254-0.0013463290253991
9415.3315.31370982904840.0162901709515837
9515.2115.19969913324290.0103008667570881
9615.1915.2365076873175-0.0465076873174865
9715.3215.3337645670741-0.0137645670741451
9815.5115.46041997107170.049580028928307
9915.3415.32952551721280.0104744827872232
10015.2315.2427127599825-0.0127127599825153
10115.415.39298641448220.00701358551781899
10215.2315.2803187711489-0.0503187711488945
10315.315.29828149581720.00171850418280274
10415.2515.2790974722109-0.0290974722109334
10515.2215.21065071752010.00934928247987057
10615.2415.19669212874030.0433078712597349
10715.1715.1913323702071-0.0213323702071388
10815.3115.27430476388640.0356952361136299
10915.2715.25720516926750.0127948307325424
11015.1615.14748296699520.0125170330048152
11115.1815.13767162037550.0423283796244981
11215.1515.13839261170990.0116073882901491
11315.1115.07876011507370.031239884926335
11415.1515.10901376742820.0409862325717554
11515.1115.1284065673756-0.0184065673755863
11615.215.2001273404078-0.000127340407825702
11715.115.09143810500480.00856189499515579
11815.0915.08063518568330.00936481431673854
11915.0715.1118244510617-0.041824451061726
1201515.0178845749721-0.0178845749721367
12115.0615.0873381407234-0.0273381407233893
12215.0315.02089542611020.00910457388983726
12315.0615.0944531141745-0.034453114174491
12415.1815.2137314220676-0.0337314220676075
12515.1315.1501332003326-0.0201332003325514
12614.9914.9942094976461-0.0042094976461133
12714.9914.9942122213109-0.00421222131086009
12815.0315.01887763438320.0111223656168324
12915.0315.00506530686870.0249346931312824
13015.0515.0717147710853-0.0217147710853385


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
220.5611196663490080.8777606673019830.438880333650991
230.4679082016759860.9358164033519730.532091798324014
240.3859748578857760.7719497157715520.614025142114224
250.2651491823546840.5302983647093680.734850817645316
260.1994849855277340.3989699710554680.800515014472266
270.1472491647139980.2944983294279960.852750835286002
280.1029096648737220.2058193297474450.897090335126278
290.08382361358475960.1676472271695190.91617638641524
300.05383845034457270.1076769006891450.946161549655427
310.03336884118907730.06673768237815450.966631158810923
320.02242725544247830.04485451088495650.977572744557522
330.01781062795906920.03562125591813850.982189372040931
340.01233412055304660.02466824110609320.987665879446953
350.01115511963503970.02231023927007940.98884488036496
360.006131609000176820.01226321800035360.993868390999823
370.004312978907705920.008625957815411830.995687021092294
380.002414028987036340.004828057974072680.997585971012964
390.001281165406461570.002562330812923140.998718834593538
400.008082024973308610.01616404994661720.991917975026691
410.007695203210088540.01539040642017710.992304796789911
420.004709504260386920.009419008520773840.995290495739613
430.002924965345614410.005849930691228810.997075034654386
440.003484560657877780.006969121315755560.996515439342122
450.006044610608392410.01208922121678480.993955389391608
460.003829007834416670.007658015668833330.996170992165583
470.002486829427776840.004973658855553680.997513170572223
480.001460795273941320.002921590547882650.998539204726059
490.001023043575894660.002046087151789310.998976956424105
500.0006308118468594280.001261623693718860.999369188153141
510.0007454294124382340.001490858824876470.999254570587562
520.0008325577553406210.001665115510681240.999167442244659
530.0005144816837630440.001028963367526090.999485518316237
540.0002865930350473220.0005731860700946430.999713406964953
550.001149898410623240.002299796821246480.998850101589377
560.00828978223535540.01657956447071080.991710217764645
570.008132577548251380.01626515509650280.991867422451749
580.006074242693366430.01214848538673290.993925757306634
590.005026443073603640.01005288614720730.994973556926396
600.003686643070429020.007373286140858040.996313356929571
610.003163884260015470.006327768520030940.996836115739985
620.01854519583945740.03709039167891490.981454804160543
630.01298084999979360.02596169999958720.987019150000206
640.009426682156201770.01885336431240350.990573317843798
650.008376343141710850.01675268628342170.991623656858289
660.02000675651234350.04001351302468690.979993243487656
670.01462881011192380.02925762022384750.985371189888076
680.01225791144279080.02451582288558160.987742088557209
690.01244260847648390.02488521695296770.987557391523516
700.02025476552012360.04050953104024710.979745234479876
710.02266465416295270.04532930832590530.977335345837047
720.03765292755525260.07530585511050530.962347072444747
730.03144179378598280.06288358757196550.968558206214017
740.0294392458599990.05887849171999790.970560754140001
750.0214027462165060.04280549243301190.978597253783494
760.01575308862155120.03150617724310250.984246911378449
770.01227573949829480.02455147899658970.987724260501705
780.008589433821869430.01717886764373890.991410566178131
790.007142269544820420.01428453908964080.99285773045518
800.02029580414250180.04059160828500370.979704195857498
810.01393342956836670.02786685913673330.986066570431633
820.01007997922150770.02015995844301540.989920020778492
830.007459062437020230.01491812487404050.99254093756298
840.004823726438854430.009647452877708850.995176273561146
850.003245713913399750.00649142782679950.9967542860866
860.002012616871881450.004025233743762890.997987383128119
870.002415837946324450.004831675892648910.997584162053676
880.003839887829603430.007679775659206850.996160112170397
890.003614913784487080.007229827568974150.996385086215513
900.002685809618868660.005371619237737320.997314190381131
910.001613915096520860.003227830193041720.998386084903479
920.00376398204644620.00752796409289240.996236017953554
930.004072108290698650.00814421658139730.995927891709301
940.002509717712391220.005019435424782450.997490282287609
950.002817306992707560.005634613985415120.997182693007292
960.002675093837474550.005350187674949110.997324906162525
970.007374578843339690.01474915768667940.99262542115666
980.01546397437321560.03092794874643120.984536025626784
990.01260886561940140.02521773123880280.987391134380599
1000.01011221421776930.02022442843553870.989887785782231
1010.0438699611121790.08773992222435810.956130038887821
1020.1813183846090090.3626367692180190.818681615390991
1030.1246912978780530.2493825957561070.875308702121947
1040.0828376406644940.1656752813289880.917162359335506
1050.06153145125584840.1230629025116970.938468548744152
1060.04294663349610880.08589326699221760.957053366503891
1070.3860755759363070.7721511518726140.613924424063693
1080.2589989349052910.5179978698105810.741001065094709


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level310.35632183908046NOK
5% type I error level660.758620689655172NOK
10% type I error level720.827586206896552NOK