Multiple Linear Regression - Estimated Regression Equation
weight[t] = -0.0277869837865939 -0.0549338791955031PR4[t] -0.0722130162134062T[t] + 0.238267212528836PR_T[t] + 0.377142021639536Used[t] + 0.033969089471575T_Used[t] -0.00353535353535342PR_T_Used[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.02778698378659390.033203-0.83690.4040110.202005
PR4-0.05493387919550310.043673-1.25780.2104450.105222
T-0.07221301621340620.087739-0.8230.4118190.205909
PR_T0.2382672125288360.113582.09780.0376340.018817
Used0.3771420216395360.0524817.186200
T_Used0.0339690894715750.1233410.27540.783390.391695
PR_T_Used-0.003535353535353420.147149-0.0240.9808650.490432


Multiple Linear Regression - Regression Statistics
Multiple R0.649801557546475
R-squared0.422242064189825
Adjusted R-squared0.398660107626144
F-TEST (value)17.9053024311025
F-TEST (DF numerator)6
F-TEST (DF denominator)147
p-value1.55431223447522e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.229709412787322
Sum Squared Residuals7.75666290549515


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
10.20.08333333333333350.116666666666667
2-0.2-0.0827208629820971-0.117279137017903
3-0.2-0.0827208629820971-0.117279137017903
4-0.2-0.082720862982097-0.117279137017903
5-0.2-0.0827208629820975-0.117279137017903
60.4-0.08272086298209690.482720862982097
7-0.2-0.082720862982097-0.117279137017903
8-0.20.0833333333333334-0.283333333333333
9-0.2-0.082720862982097-0.117279137017903
100.2-0.0827208629820970.282720862982097
110.20.08333333333333330.116666666666667
12-0.2-0.082720862982097-0.117279137017903
130.20.294421158657439-0.094421158657439
140.20.08333333333333330.116666666666667
150.20.294421158657439-0.094421158657439
160.20.490909090909091-0.290909090909091
1710.4909090909090910.509090909090909
180.20.08333333333333330.116666666666667
19-0.2-0.082720862982097-0.117279137017903
200.60.4909090909090910.109090909090909
210.4-0.08272086298209690.482720862982097
220.60.2944211586574390.305578841342561
230-0.0827208629820970.082720862982097
240.4-0.08272086298209690.482720862982097
2500.490909090909091-0.490909090909091
260.20.294421158657439-0.094421158657439
270.2-0.0827208629820970.282720862982097
2800.294421158657439-0.294421158657439
29-0.2-0.082720862982097-0.117279137017903
300-0.0827208629820970.082720862982097
31-0.2-0.082720862982097-0.117279137017903
320.2-0.0827208629820970.282720862982097
330.4-0.08272086298209690.482720862982097
34-0.20.0833333333333334-0.283333333333333
35-0.2-0.082720862982097-0.117279137017903
36-0.2-0.082720862982097-0.117279137017903
370.60.4909090909090910.109090909090909
3800.294421158657439-0.294421158657439
390-0.0827208629820970.082720862982097
4000.0833333333333332-0.0833333333333332
410.60.2944211586574390.305578841342561
4200.294421158657439-0.294421158657439
430.4-0.08272086298209690.482720862982097
440.20.08333333333333330.116666666666667
450-0.0827208629820970.082720862982097
460-0.0827208629820970.082720862982097
47-0.2-0.082720862982097-0.117279137017903
48-0.2-0.082720862982097-0.117279137017903
490-0.0827208629820970.082720862982097
50-0.2-0.082720862982097-0.117279137017903
5100.490909090909091-0.490909090909091
5210.4909090909090910.509090909090909
53-0.2-0.082720862982097-0.117279137017903
540.40.2944211586574390.105578841342561
55-0.2-0.082720862982097-0.117279137017903
5600.490909090909091-0.490909090909091
570.20.294421158657439-0.094421158657439
58-0.2-0.082720862982097-0.117279137017903
59-0.2-0.082720862982097-0.117279137017903
6010.4909090909090910.509090909090909
610.20.08333333333333330.116666666666667
620.20.294421158657439-0.094421158657439
63-0.2-0.082720862982097-0.117279137017903
640.20.08333333333333330.116666666666667
65-0.2-0.082720862982097-0.117279137017903
66-0.2-0.082720862982097-0.117279137017903
670.60.4909090909090910.109090909090909
680.2-0.0827208629820970.282720862982097
69-0.2-0.082720862982097-0.117279137017903
7000.294421158657439-0.294421158657439
71-0.2-0.082720862982097-0.117279137017903
72-0.2-0.082720862982097-0.117279137017903
7300.294421158657439-0.294421158657439
740.40.2944211586574390.105578841342561
75-0.2-0.082720862982097-0.117279137017903
7600.0833333333333332-0.0833333333333332
77-0.2-0.082720862982097-0.117279137017903
780.20.294421158657439-0.094421158657439
790.40.490909090909091-0.0909090909090909
8000.0833333333333332-0.0833333333333332
81-0.2-0.082720862982097-0.117279137017903
820.40.2944211586574390.105578841342561
83-0.2-0.082720862982097-0.117279137017903
840.40.2944211586574390.105578841342561
850-0.0827208629820970.082720862982097
860.2-0.0827208629820970.282720862982097
870.2-0.02778698378659390.227786983786594
880.40.3111111111111110.0888888888888889
89-0.2-0.0277869837865939-0.172213016213406
90-0.2-0.0277869837865939-0.172213016213406
910-0.02778698378659390.0277869837865939
920.2-0.10.3
930.4-0.02778698378659380.427786983786594
94-0.2-0.0277869837865939-0.172213016213406
95-0.2-0.1-0.1
96-0.2-0.0277869837865939-0.172213016213406
970.2-0.10.3
98-0.2-0.0277869837865939-0.172213016213406
990.2-0.02778698378659390.227786983786594
100-0.2-0.0277869837865939-0.172213016213406
1010.2-0.02778698378659390.227786983786594
102-0.2-0.0277869837865939-0.172213016213406
103-0.2-0.0277869837865939-0.172213016213406
104-0.2-0.0277869837865939-0.172213016213406
10500.311111111111111-0.311111111111111
106-0.2-0.0277869837865939-0.172213016213406
107-0.2-0.0277869837865939-0.172213016213406
1080.40.3111111111111110.0888888888888889
109-0.2-0.0277869837865939-0.172213016213406
1100.2-0.02778698378659390.227786983786594
1110.60.3111111111111110.288888888888889
112-0.2-0.1-0.1
11300.349355037852942-0.349355037852942
1140.40.3111111111111110.0888888888888889
1150.2-0.02778698378659390.227786983786594
116-0.2-0.0277869837865939-0.172213016213406
1170.2-0.02778698378659390.227786983786594
1180.2-0.02778698378659390.227786983786594
119-0.2-0.0277869837865939-0.172213016213406
120-0.2-0.0277869837865939-0.172213016213406
1210.2-0.02778698378659390.227786983786594
122-0.2-0.0277869837865939-0.172213016213406
1230.40.3111111111111110.0888888888888889
1240.20.349355037852942-0.149355037852942
125-0.2-0.0277869837865939-0.172213016213406
126-0.2-0.1-0.1
1270-0.02778698378659390.0277869837865939
128-0.2-0.0277869837865939-0.172213016213406
129-0.2-0.0277869837865939-0.172213016213406
130-0.2-0.0277869837865939-0.172213016213406
1310.2-0.02778698378659390.227786983786594
1320.2-0.02778698378659390.227786983786594
1330.40.3493550378529420.0506449621470578
134-0.2-0.0277869837865939-0.172213016213406
135-0.2-0.0277869837865939-0.172213016213406
136-0.2-0.0277869837865939-0.172213016213406
1370.60.3493550378529420.250644962147058
1380.60.3111111111111110.288888888888889
139-0.2-0.1-0.1
140-0.2-0.0277869837865939-0.172213016213406
1410.40.3493550378529420.0506449621470578
14200.311111111111111-0.311111111111111
1430.2-0.02778698378659390.227786983786594
1440-0.02778698378659390.0277869837865939
1450-0.02778698378659390.0277869837865939
146-0.2-0.1-0.1
14700.311111111111111-0.311111111111111
148-0.2-0.1-0.1
1490.2-0.02778698378659390.227786983786594
1500-0.02778698378659390.0277869837865939
151-0.2-0.0277869837865939-0.172213016213406
1520.80.3493550378529420.450644962147058
15310.3493550378529420.650644962147058
1540.40.3493550378529420.0506449621470578


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9665752127956940.06684957440861280.0334247872043064
110.9428129747124690.1143740505750620.0571870252875312
120.9054844938182270.1890310123635460.0945155061817731
130.8459840573061940.3080318853876120.154015942693806
140.7864658493493070.4270683013013850.213534150650693
150.7026574069041740.5946851861916530.297342593095826
160.6198797798564940.7602404402870130.380120220143506
170.8893371915729530.2213256168540930.110662808427047
180.8493063766489410.3013872467021180.150693623351059
190.8047432017107130.3905135965785730.195256798289287
200.7451749885814050.509650022837190.254825011418595
210.8798812966934430.2402374066131150.120118703306557
220.9012078859428180.1975842281143640.0987921140571821
230.8675139622852210.2649720754295580.132486037714779
240.9310331686880530.1379336626238930.0689668313119467
250.9766410197142820.0467179605714360.023358980285718
260.967981110427220.06403777914556010.0320188895727801
270.9659818528008320.06803629439833630.0340181471991681
280.9677654537335710.06446909253285820.0322345462664291
290.9612369842918240.07752603141635180.0387630157081759
300.9470405066878730.1059189866242550.0529594933121274
310.9368508365847020.1262983268305970.0631491634152983
320.9361815916155530.1276368167688940.063818408384447
330.966869113739990.06626177252001980.0331308862600099
340.9704698728054220.05906025438915540.0295301271945777
350.9653466366814090.06930672663718130.0346533633185906
360.9590097033341230.08198059333175470.0409902966658773
370.9487573938875780.1024852122248440.051242606112422
380.948886642232810.1022267155343810.0511133577671903
390.9341192872210.1317614255580.0658807127790001
400.9167870831830230.1664258336339530.0832129168169767
410.9372783998414680.1254432003170640.0627216001585321
420.9398504867598650.120299026480270.0601495132401352
430.970879434439830.05824113112033920.0291205655601696
440.9636006049793980.07279879004120340.0363993950206017
450.953761595639040.09247680872191920.0462384043609596
460.9421812136549910.1156375726900190.0578187863450095
470.9338161231186710.1323677537626580.066183876881329
480.9239278338957150.1521443322085710.0760721661042853
490.9076336575759650.1847326848480690.0923663424240346
500.8943933026922510.2112133946154970.105606697307749
510.9514093192705150.09718136145896930.0485906807294847
520.9831795234456630.03364095310867470.0168204765543374
530.9794015462893230.04119690742135440.0205984537106772
540.9751218533294890.04975629334102290.0248781466705115
550.9697300629904130.06053987401917350.0302699370095868
560.9905020878060510.01899582438789830.00949791219394916
570.9872397634334950.02552047313300930.0127602365665047
580.9840538559383080.03189228812338440.0159461440616922
590.9801234380945460.0397531238109070.0198765619054535
600.9927271000050170.01454579998996630.00727289999498313
610.9906572922548590.0186854154902820.009342707745141
620.9875679964862190.02486400702756160.0124320035137808
630.9842885434022110.03142291319557730.0157114565977886
640.9809260414364730.0381479171270540.019073958563527
650.9761685342449450.04766293151010960.0238314657550548
660.970384371815660.05923125636867950.0296156281843397
670.9641279793945710.07174404121085890.0358720206054294
680.9712054429420320.05758911411593670.0287945570579684
690.9643233681313230.07135326373735450.0356766318686772
700.9683138430626210.06337231387475780.0316861569373789
710.9608958835623360.07820823287532890.0391041164376645
720.9520602880149350.09587942397012980.0479397119850649
730.960278813749150.07944237250169960.0397211862508498
740.9525196023127090.09496079537458140.0474803976872907
750.9426879539564180.1146240920871640.0573120460435818
760.9286734834475480.1426530331049050.0713265165524523
770.9155386629762590.1689226740474820.0844613370237409
780.9064590853735530.1870818292528930.0935409146264467
790.8863292499624850.2273415000750310.113670750037515
800.8629520671610250.2740958656779490.137047932838975
810.8455514672631330.3088970654737350.154448532736867
820.8249693465034620.3500613069930770.175030653496538
830.8115542215413290.3768915569173420.188445778458671
840.797114728703750.4057705425924990.20288527129625
850.7708410872849620.4583178254300760.229158912715038
860.7527235170744380.4945529658511240.247276482925562
870.7425147348790210.5149705302419590.25748526512098
880.7059142463401920.5881715073196160.294085753659808
890.6983313197125250.603337360574950.301668680287475
900.6741448294333210.6517103411333590.325855170566679
910.6311659252332210.7376681495335580.368834074766779
920.640708855037520.7185822899249590.35929114496248
930.7553510341983940.4892979316032120.244648965801606
940.7377941532857610.5244116934284780.262205846714239
950.7197865286514380.5604269426971230.280213471348562
960.6970980317435280.6058039365129450.302901968256472
970.7347462041587660.5305075916824690.265253795841234
980.7109506467717720.5780987064564550.289049353228228
990.7194923093697310.5610153812605380.280507690630269
1000.6949546452503930.6100907094992150.305045354749608
1010.7041436492581060.5917127014837890.295856350741894
1020.6785135649794530.6429728700410940.321486435020547
1030.6513363747721320.6973272504557350.348663625227868
1040.6230763088961840.7538473822076320.376923691103816
1050.6649236640906150.670152671818770.335076335909385
1060.6371245970901820.7257508058196370.362875402909818
1070.6089897544584260.7820204910831490.391010245541574
1080.5665939213457150.8668121573085710.433406078654285
1090.5376167183802050.9247665632395890.462383281619795
1100.545631897998310.908736204003380.45436810200169
1110.578896235513520.842207528972960.42110376448648
1120.537505752134750.9249884957304990.46249424786525
1130.700738732421740.598522535156520.29926126757826
1140.6646107841267860.6707784317464280.335389215873214
1150.6778673398915110.6442653202169790.322132660108489
1160.6482030369538920.7035939260922170.351796963046108
1170.6626832640472330.6746334719055350.337316735952767
1180.6813773909575980.6372452180848050.318622609042402
1190.6474207247008830.7051585505982350.352579275299118
1200.613150131352050.7736997372958990.38684986864795
1210.6325757129571480.7348485740857050.367424287042852
1220.595195047317910.8096099053641790.40480495268209
1230.5637031907189240.8725936185621530.436296809281076
1240.647726560204740.7045468795905190.35227343979526
1250.6117391541059480.7765216917881040.388260845894052
1260.5515115801210590.8969768397578810.448488419878941
1270.4866941346199990.9733882692399990.513305865380001
1280.4474969958012680.8949939916025360.552503004198732
1290.41158474006160.82316948012320.5884152599384
1300.3802131183499190.7604262366998380.619786881650081
1310.3810366252171360.7620732504342720.618963374782864
1320.3933701941311350.786740388262270.606629805868865
1330.3829311916603230.7658623833206470.617068808339677
1340.3373947234523510.6747894469047020.662605276547649
1350.2985575458465190.5971150916930380.701442454153481
1360.2688461662377180.5376923324754370.731153833762282
1370.2156295522658220.4312591045316440.784370447734178
1380.4790714290495470.9581428580990940.520928570950453
1390.3805001980102780.7610003960205560.619499801989722
1400.3630233979936530.7260467959873070.636976602006347
1410.4187401922076450.837480384415290.581259807792355
1420.3121822642269340.6243645284538680.687817735773066
1430.2614441724491330.5228883448982670.738555827550867
1440.1524352916635750.304870583327150.847564708336425


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level140.103703703703704NOK
10% type I error level370.274074074074074NOK