Multiple Linear Regression - Estimated Regression Equation
TNORC[t] = + 5.56598397372318 -0.0113708130309373TNOLI[t] -0.00214401091421035NOBC[t] + 0.233459590350354NOSFBM[t] + 0.00150904584946654TNOPV[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.565983973723180.7945757.00500
TNOLI-0.01137081303093730.017952-0.63340.5275220.263761
NOBC-0.002144010914210350.025527-0.0840.9331850.466592
NOSFBM0.2334595903503540.01616514.442400
TNOPV0.001509045849466540.0009461.59520.1129320.056466


Multiple Linear Regression - Regression Statistics
Multiple R0.894794785748631
R-squared0.800657708602939
Adjusted R-squared0.794921239785758
F-TEST (value)139.573269570445
F-TEST (DF numerator)4
F-TEST (DF denominator)139
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.25069907861257
Sum Squared Residuals2511.51352931157


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11821.814943977221-3.81494397722104
22020.3195217078632-0.319521707863222
305.65104614226388-5.65104614226388
42621.71512610463794.28487389536214
53136.0757324929853-5.07573249298528
63644.7444585582062-8.74445855820623
72323.8607409001294-0.860740900129392
83032.0377339644583-2.03773396445831
93019.188115895205310.8118841047947
102627.0629650100027-1.06296501000271
112421.09007558955732.9099244104427
123028.95185373902861.04814626097142
132116.29326112507684.70673887492323
142529.9690855072611-4.96908550726113
151821.1575419600113-3.15754196001125
161922.0160090813255-3.0160090813255
173337.8560444559908-4.85604445599079
181517.2195722229307-2.21957222293066
193433.77317933342420.226820666575772
201815.93262281017322.06737718982684
211515.0406284429634-0.0406284429634107
223027.94294455493692.05705544506308
232522.91748675134172.08251324865833
243424.07065451299419.92934548700586
252120.82184916715740.178150832842575
262121.2736610725308-0.273661072530842
272527.2509177727846-2.25091777278463
283123.97073299352947.02926700647062
293131.0469463678199-0.0469463678198954
302023.7853935583042-3.78539355830417
312826.98133600361331.01866399638667
322020.7941593096857-0.794159309685704
331715.75112348059961.2488765194004
342525.834845139374-0.834845139373975
352429.1913489705822-5.1913489705822
3605.5561222065417-5.5561222065417
372725.32331736806431.67668263193567
381416.3681785741805-2.36817857418052
393229.79285627103512.20714372896488
403136.5652500189647-5.56525001896471
412125.0350809570323-4.03508095703234
423434.8774840321802-0.877484032180172
432324.3697158675371-1.3697158675371
442422.79462594434531.20537405565467
452629.4357669079434-3.43576690794345
462221.86278410457050.137215895429458
473520.994860822812714.0051391771873
482126.9772766752573-5.97727667525729
493133.9872803651794-2.98728036517935
502626.1597054094989-0.159705409498934
512215.31974927049926.68025072950081
522122.0393309681918-1.03933096819184
532729.8869844280938-2.88698442809376
543025.35704110414614.64295889585388
553334.7470040898841-1.74700408988408
561114.4083591964223-3.40835919642227
572622.58029906610023.41970093389977
582624.78111816676721.21888183323283
592326.7582913539673-3.75829135396732
603828.48410802287679.51589197712332
612932.2257217000113-3.22572170001128
621921.6547376964335-2.65473769643348
631919.1429702087504-0.142970208750386
642622.55983711675213.4401628832479
652627.9890835006832-1.98908350068319
662927.68645059983291.31354940016711
673639.5345275166943-3.53452751669434
682525.5748248524704-0.574824852470371
692424.139485848407-0.139485848406973
702115.70308010722155.29691989277845
711918.08732473353930.91267526646069
72128.510524443919223.48947555608078
733026.90727112199193.09272887800812
742116.58237276886144.41762723113859
753436.1201850659524-2.12018506595244
763228.41564146904023.58435853095977
772831.8189673307316-3.81896733073157
782828.915038534797-0.915038534797033
792117.35683084945433.64316915054568
803120.555497876706410.4445021232936
812622.19224050244923.80775949755082
822929.8935548769009-0.893554876900901
832310.459256883669412.5407431163306
842521.44429700302873.5557029969713
852219.3188244952082.68117550479196
862620.2297706072265.77022939277396
873335.7842848641545-2.78428486415454
882423.06849769414290.931502305857117
892423.6824076289280.317592371071978
902122.7150640605824-1.71506406058243
912822.97893174412115.02106825587888
922725.37690948097161.62309051902841
932526.0758563205608-1.07585632056075
941519.5993180379392-4.59931803793923
951312.66538345901360.334616540986415
963634.42600870480381.57399129519616
972425.028681450393-1.02868145039305
9815.73817929989823-4.73817929989823
992427.1388296651517-3.13882966515166
1003128.58228917861082.41771082138922
10147.13778682004097-3.13778682004097
1022019.51493156215080.485068437849163
1032321.42630225070191.57369774929806
1042318.72255342952054.27744657047949
1051211.7440254726510.255974527349019
1061610.17974242745225.82025757254779
1072931.4512873592547-2.45128735925469
1081011.2980010871165-1.29800108711648
10905.56598397372317-5.56598397372317
1102518.5756206005296.42437939947098
1112124.2100607173501-3.21006071735013
1122320.67019835603732.32980164396268
1132123.2580469909552-2.25804699095524
1142114.99330759755876.00669240244129
11505.62683548482688-5.62683548482688
11605.56598397372317-5.56598397372317
1172325.3535761126545-2.35357611265446
1182921.76541319705667.23458680294339
1192823.00840822855034.99159177144975
1202327.2252509462608-4.22525094626082
12117.20934689167192-6.20934689167192
1222927.51098741789151.48901258210851
1231717.6034874971489-0.603487497148905
1242921.9811602092187.01883979078196
1251213.6332674514304-1.63326745143042
12626.7720105367092-4.7720105367092
1272123.8611834164464-2.86118341644635
1282527.7908852610533-2.79088526105334
1292928.5700032952420.42999670475799
13026.08127797334432-4.08127797334432
13105.61153314969246-5.61153314969246
1321816.0240451840921.97595481590796
13315.59374241445849-4.59374241445849
1342117.98176605921793.01823394078212
13505.5845314057369-5.5845314057369
13647.7978922188853-3.7978922188853
13705.56598397372317-5.56598397372317
1382524.03700732316280.962992676837165
1392619.18449096847626.81550903152383
14005.64273343540621-5.64273343540621
14146.03944777798425-2.03944777798425
1421718.0910829438782-1.09108294387821
1432122.7766105213118-1.77661052131178
1442220.01699691763751.98300308236254


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.7513710402280140.4972579195439730.248628959771986
90.8114633140639690.3770733718720620.188536685936031
100.7472721572296990.5054556855406030.252727842770301
110.6774749912553810.6450500174892390.322525008744619
120.5888005406553640.8223989186892730.411199459344636
130.6434654909515150.713069018096970.356534509048485
140.7234649218286510.5530701563426970.276535078171349
150.7259907229382450.548018554123510.274009277061755
160.684345844361840.631308311276320.31565415563816
170.6115947196582540.7768105606834920.388405280341746
180.5970588350133650.8058823299732690.402941164986635
190.6080368508518080.7839262982963850.391963149148192
200.5376779779891420.9246440440217150.462322022010858
210.4630932641736040.9261865283472080.536906735826396
220.3943748292035150.788749658407030.605625170796485
230.3703228524765830.7406457049531660.629677147523417
240.4978352817743910.9956705635487830.502164718225609
250.4314802548654610.8629605097309230.568519745134539
260.4426518525432480.8853037050864960.557348147456752
270.517389352375820.965221295248360.48261064762418
280.6016458702759990.7967082594480020.398354129724001
290.5672944315170750.8654111369658490.432705568482925
300.5995847921511370.8008304156977250.400415207848863
310.5414850739537830.9170298520924330.458514926046217
320.5055509833074730.9888980333850530.494449016692527
330.444699396478080.8893987929561590.55530060352192
340.3919892191229050.7839784382458110.608010780877095
350.4189759845018880.8379519690037770.581024015498112
360.5399508927046030.9200982145907940.460049107295397
370.4935753668130090.9871507336260180.506424633186991
380.4725818206343930.9451636412687860.527418179365607
390.4615770898205110.9231541796410210.538422910179489
400.4924448288494820.9848896576989630.507555171150518
410.5132119250494220.9735761499011550.486788074950578
420.460837285268650.9216745705372990.53916271473135
430.409924143458570.8198482869171390.59007585654143
440.3627830715028330.7255661430056660.637216928497167
450.3357829722312570.6715659444625130.664217027768743
460.2889738348853370.5779476697706750.711026165114663
470.776179441245390.4476411175092190.22382055875461
480.8116276933407790.3767446133184420.188372306659221
490.7921914969124340.4156170061751320.207808503087566
500.758248472622150.48350305475570.24175152737785
510.8018837273752250.3962325452495510.198116272624775
520.7697822931374860.4604354137250280.230217706862514
530.7567182026183770.4865635947632450.243281797381623
540.7616720170386050.4766559659227890.238327982961395
550.7263424881046550.5473150237906910.273657511895345
560.7356057004247740.5287885991504530.264394299575226
570.7150415171142890.5699169657714210.284958482885711
580.6771129650064830.6457740699870340.322887034993517
590.662855907357890.6742881852842190.33714409264211
600.7962943461966890.4074113076066210.20370565380331
610.7795573148772550.440885370245490.220442685122745
620.7690524266585810.4618951466828380.230947573341419
630.7305800501852590.5388398996294830.269419949814741
640.7144016244866330.5711967510267340.285598375513367
650.6822777255488970.6354445489022050.317722274451103
660.6424047620044290.7151904759911420.357595237995571
670.6321336505442460.7357326989115080.367866349455754
680.6173204746982430.7653590506035150.382679525301757
690.569863296554980.8602734068900390.43013670344502
700.6145485844654290.7709028310691410.385451415534571
710.5919715315597760.8160569368804480.408028468440224
720.5518982681801990.8962034636396030.448101731819801
730.5357444579028130.9285110841943750.464255542097187
740.5152536665659890.9694926668680220.484746333434011
750.5205204222070070.9589591555859850.479479577792993
760.5122753340384920.9754493319230170.487724665961508
770.5624346546091690.8751306907816630.437565345390831
780.5805631094665350.838873781066930.419436890533465
790.5718748801810940.8562502396378110.428125119818906
800.8190166974757440.3619666050485120.180983302524256
810.8328560005611270.3342879988777470.167143999438873
820.8133557999598920.3732884000802170.186644200040108
830.9741986734345940.05160265313081170.0258013265654058
840.9686778791890070.06264424162198560.0313221208109928
850.9659747596417930.06805048071641480.0340252403582074
860.9675263785671380.06494724286572430.0324736214328621
870.9690990868969150.06180182620616930.0309009131030847
880.9593776864155520.08124462716889660.0406223135844483
890.9473769101864810.1052461796270370.0526230898135186
900.9396077908311530.1207844183376930.0603922091688466
910.9379020468581820.1241959062836370.0620979531418184
920.9291758519750380.1416482960499250.0708241480249624
930.910844002597460.1783119948050810.0891559974025403
940.9315883838930010.1368232322139980.0684116161069989
950.9168545582005680.1662908835988630.0831454417994317
960.9035397510454230.1929204979091550.0964602489545775
970.9168645843919940.1662708312160120.083135415608006
980.9276207447769670.1447585104460660.0723792552230331
990.9716041933908250.05679161321834910.0283958066091745
1000.9641816424436540.07163671511269160.0358183575563458
1010.9643678644081980.07126427118360450.0356321355918023
1020.9577255746406660.08454885071866790.0422744253593339
1030.9438376889947760.1123246220104480.0561623110052239
1040.9400406144878610.1199187710242770.0599593855121386
1050.9225883666727980.1548232666544040.0774116333272018
1060.973798451101190.05240309779761960.0262015488988098
1070.971361079326040.05727784134791930.0286389206739596
1080.963230883433920.07353823313215990.0367691165660799
1090.9625238619410930.07495227611781460.0374761380589073
1100.9856101401574650.0287797196850710.0143898598425355
1110.9872711768608280.02545764627834360.0127288231391718
1120.9829507068378610.03409858632427820.0170492931621391
1130.9872313826826830.02553723463463330.0127686173173167
1140.9943570460420190.01128590791596170.00564295395798087
1150.9931506153954820.01369876920903670.00684938460451834
1160.9911927915581440.01761441688371260.00880720844185629
1170.9863438226083980.02731235478320380.0136561773916019
1180.994163742146840.01167251570631950.00583625785315974
1190.9909714077617910.01805718447641710.00902859223820854
1200.9888132036550890.02237359268982230.0111867963449112
1210.9965398376008950.006920324798209710.00346016239910485
1220.9937079897452170.01258402050956630.00629201025478315
1230.9895651935216130.02086961295677440.0104348064783872
1240.9969474162574950.006105167485009770.00305258374250489
1250.9981222610490760.003755477901848160.00187773895092408
1260.9963863988818610.007227202236278290.00361360111813914
1270.999878082339260.0002438353214798920.000121917660739946
1280.9998318117442590.0003363765114825310.000168188255741266
1290.9996360730845780.0007278538308441430.000363926915422071
1300.9989910214027350.002017957194530840.00100897859726542
1310.9979192638942170.004161472211566050.00208073610578303
1320.9958518408651780.008296318269644730.00414815913482236
1330.9894479798371920.0211040403256150.0105520201628075
1340.9713116241015260.05737675179694850.0286883758984743
1350.9481999490696080.1036001018607830.0518000509303916
1360.9250608724587510.1498782550824990.0749391275412493


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.0775193798449612NOK
5% type I error level240.186046511627907NOK
10% type I error level390.302325581395349NOK