Multiple Linear Regression - Estimated Regression Equation
TO[t] = + 0.297034098720058 + 1.00000489569744DB[t] + 0.999221510795771DA[t] + 1.0000328833792BTW[t] + 1.00018973717626NFO[t] + 1.0001094217834KO[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.2970340987200580.6742410.44050.6605640.330282
DB1.000004895697447.5e-0513383.735200
DA0.9992215107957710.0008861127.822200
BTW1.00003288337920.000175886.471600
NFO1.000189737176260.0002464071.388400
KO1.00010942178340.000224543.879100


Multiple Linear Regression - Regression Statistics
Multiple R0.999999955033292
R-squared0.999999910066586
Adjusted R-squared0.999999905231456
F-TEST (value)206819661.373418
F-TEST (DF numerator)5
F-TEST (DF denominator)93
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.716144894467753
Sum Squared Residuals47.6963064181173


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
191449144.91456130548-0.914561305484515
254565456.86457253662-0.864572536619336
350575056.863539197620.136460802378934
477797778.870551178070.129448821926543
558585858.92361789557-0.923617895565781
61149311494.1391631054-1.13916310543803
768486848.86746477908-0.867464779084859
857725771.957875060560.0421249394451632
952515250.861810343510.138189656491613
101123211231.92709121760.0729087824221945
1159085908.90177904719-0.901779047193063
1268126811.84888273660.151117263397144
1399629961.856857458870.143142541129293
1461556155.87371550121-0.873715501210961
1556735672.868617555340.131382444658846
1679857984.898479954980.101520045020469
1757805778.899968106241.10003189375802
181199911998.21189280920.788107190819542
1969736972.794995794070.205004205927882
2058175817.90655833727-0.906558337267504
2158445844.84321633031-0.84321633030847
221117811177.93951702120.0604829787785579
2355335531.823059071871.17694092813032
2468706869.848983171660.151016828343145
2595219521.85039321649-0.850393216488194
2653635363.83965107849-0.839651078484924
2760316030.860506825950.139493174051937
2892459244.948618567320.0513814326782201
2956215619.843221397821.15677860218141
301180211802.0716925804-0.0716925803898479
3183648364.82341413923-0.823414139226411
3262866286.83006872066-0.830068720657359
3350715070.878066959460.121933040544459
341077310772.86704511390.132954886129161
3558215820.808349495430.191650504574234
3677947794.11742808264-0.117428082642516
371063610636.6348917359-0.634891735887314
3864056403.911867582871.08813241713098
3958115809.703362480651.29663751935168
4089818979.774006282521.2259937174772
4162286228.81896953598-0.818969535978516
421195011950.1079407478-0.107940747840417
4375237522.774519619020.225480380983888
4460676065.920313472171.0796865278316
4548254824.853792773950.146207226049697
461216212160.95172261951.04827738052545
4769896988.81975724250.180242757503335
4880128011.748177970530.251822029466286
491089310892.89374455230.106255447718862
5066476647.87581801007-0.875818010069371
5159385937.799441193620.200558806380022
5290059004.842382805540.157617194457928
5362626261.847396371730.152603628270933
541202212020.07027120341.92972879664466
5576837682.861212242810.138787757186286
5660046002.820684389931.17931561007476
5747244723.865542159830.134457840171262
581034310344.1072533019-1.10725330186037
5966046604.07662333854-0.0766233385411399
6072417240.047552263680.952447736320687
6193319331.87989284123-0.879892841234996
6264186417.910496236410.0895037635943082
6370947094.67754975493-0.677549754930459
641034010340.8905617908-0.89056179077553
6568146813.998926626510.00107337348646491
661200312003.3566387296-0.356638729643431
6774817481.64581575614-0.64581575613582
6854525450.85237890041.14762109959918
6963806379.033613886920.966386113084402
701142511425.9070117653-0.90701176531349
7159055904.822993804240.177006195763555
7285368535.861799969010.138200030995415
731078510784.83711449750.162885502473433
7466726671.816239309540.183760690456776
7572937293.0246797817-0.0246797817024734
7698099807.939961589071.06003841093068
7756585657.819119217070.180880782930477
781236412363.07276764330.927232356671932
7980788077.822803180130.177196819869973
8052695268.902915043050.0970849569551961
8177877788.12839131973-1.12839131973263
821172911728.94224209740.0577579025970242
8362366236.84074587154-0.840745871543127
8485768576.90798272382-0.907982723817374
851121611216.8449282082-0.844928208183313
8668146813.853982056690.146017943305959
8760196018.813044437950.186955562047622
8893179317.95250662609-0.952506626094391
8954195418.815609699150.184390300852716
901252512524.02599080160.974009198394843
9189738972.990221160530.00977883947046139
9259605959.832947851930.167052148069832
9379217921.9906938749-0.990693874895746
941258112579.87084653961.12915346040411
9571807179.898189252320.10181074768223
9690629062.85886955266-0.85886955265804
971306413064.1259293755-0.125929375535695
9871007099.824249459870.175750540133813
9951455144.836879177670.163120822332416


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1493538112035120.2987076224070230.850646188796488
100.2666234544180430.5332469088360860.733376545581957
110.3223093006247010.6446186012494030.677690699375299
120.2340523090360340.4681046180720680.765947690963966
130.1722226800950870.3444453601901740.827777319904913
140.1144318995060770.2288637990121540.885568100493923
150.1128093325179780.2256186650359560.887190667482022
160.07651278687421840.1530255737484370.923487213125782
170.3346064133320840.6692128266641680.665393586667916
180.4617985891479560.9235971782959130.538201410852044
190.4142283322659990.8284566645319980.585771667734001
200.3975828567019150.795165713403830.602417143298085
210.4240987930749650.8481975861499290.575901206925036
220.3459214639836040.6918429279672080.654078536016396
230.5442297365687640.9115405268624710.455770263431235
240.4896198502696080.9792397005392160.510380149730392
250.493693600249350.9873872004987010.50630639975065
260.4676830390547860.9353660781095720.532316960945214
270.411158780481760.8223175609635210.58884121951824
280.3535913920130110.7071827840260230.646408607986989
290.5180010099170940.9639979801658130.481998990082906
300.449670471235970.899340942471940.55032952876403
310.4130086745453610.8260173490907220.586991325454639
320.4067899985609260.8135799971218530.593210001439074
330.3469982484372140.6939964968744280.653001751562786
340.2884686410358780.5769372820717560.711531358964122
350.2433159219907150.4866318439814290.756684078009285
360.198097176142530.396194352285060.80190282385747
370.1722969340805190.3445938681610370.827703065919482
380.2335568398855650.4671136797711310.766443160114435
390.3957347610876060.7914695221752120.604265238912394
400.5360532610986360.9278934778027280.463946738901364
410.5488528087364440.9022943825271110.451147191263556
420.4912896582178750.982579316435750.508710341782125
430.4374967265949160.8749934531898330.562503273405084
440.5187247728583660.9625504542832680.481275227141634
450.459365770766740.9187315415334810.54063422923326
460.5071993013300070.9856013973399850.492800698669993
470.4529316235305270.9058632470610540.547068376469473
480.4010633797628520.8021267595257050.598936620237148
490.3454661206609810.6909322413219630.654533879339019
500.3677325999038890.7354651998077780.632267400096111
510.3160535092702030.6321070185404050.683946490729797
520.2678462006107670.5356924012215340.732153799389233
530.2224023717250260.4448047434500520.777597628274974
540.528978107948060.942043784103880.47102189205194
550.4733091071719710.9466182143439410.526690892828029
560.5907039824877880.8185920350244240.409296017512212
570.5307778200868250.9384443598263510.469222179913175
580.6010836433108290.7978327133783420.398916356689171
590.7502438339260230.4995123321479540.249756166073977
600.7673172314994790.4653655370010430.232682768500521
610.801081546089460.397836907821080.19891845391054
620.7573833569999810.4852332860000380.242616643000019
630.7423974805980370.5152050388039260.257602519401963
640.7460719524206450.507856095158710.253928047579355
650.6931924242638720.6136151514722560.306807575736128
660.6668806526467310.6662386947065380.333119347353269
670.6302125110970610.7395749778058780.369787488902939
680.7399396869222140.5201206261555710.260060313077786
690.8482843944747390.3034312110505220.151715605525261
700.8820710026092790.2358579947814420.117928997390721
710.849031602663580.3019367946728390.15096839733642
720.806250819374280.387498361251440.19374918062572
730.7597704014817180.4804591970365630.240229598518281
740.7003079091561320.5993841816877360.299692090843868
750.6418441639555260.7163116720889480.358155836044474
760.6316620255597810.7366759488804390.368337974440219
770.5631945146617940.8736109706764120.436805485338206
780.7541247624349310.4917504751301370.245875237565069
790.6833982874694460.6332034250611080.316601712530554
800.6322444564357860.7355110871284280.367755543564214
810.597508408896730.804983182206540.40249159110327
820.5322859906566760.9354280186866490.467714009343324
830.5148689142038310.9702621715923380.485131085796169
840.6138396989094750.7723206021810490.386160301090525
850.5995101836603920.8009796326792160.400489816339608
860.491951572282580.983903144565160.50804842771742
870.4081801229338520.8163602458677050.591819877066148
880.6144260041013230.7711479917973530.385573995898677
890.4665255967727620.9330511935455250.533474403227238
900.5478129927675890.9043740144648220.452187007232411


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK