Multiple Linear Regression - Estimated Regression Equation
autoprod[t] = + 100.936662011173 -16.1842178770950crisis[t] + 7.6478358421271M1[t] + 13.3330785743844M2[t] + 28.7738768621974M3[t] + 9.11467515001035M4[t] + 7.13325121560109M5[t] + 27.0740495034140M6[t] -18.9073744309952M7[t] -21.4665761431823M8[t] + 25.5613574643079M9[t] + 25.9656256465963M10[t] + 17.9453128232982M11[t] + 0.0703128232981583t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)100.9366620111736.45624915.633900
crisis-16.18421787709505.392988-3.0010.0034730.001736
M17.64783584212717.6904890.99450.3226390.161319
M213.33307857438447.6882181.73420.0862650.043132
M328.77387686219747.6866933.74330.0003180.000159
M49.114675150010357.6859161.18590.2387520.119376
M57.133251215601097.6858870.92810.3558120.177906
M627.07404950341407.6866043.52220.0006710.000336
M7-18.90737443099527.68807-2.45930.0158110.007905
M8-21.46657614318237.690282-2.79140.0063950.003198
M925.56135746430797.691823.32320.0012830.000642
M1025.96562564659637.9094013.28290.0014590.000729
M1117.94531282329827.9083122.26920.0256210.012811
t0.07031282329815830.0757970.92760.3560450.178022


Multiple Linear Regression - Regression Statistics
Multiple R0.75620610559094
R-squared0.571847674133016
Adjusted R-squared0.510683056152018
F-TEST (value)9.34932143793777
F-TEST (DF numerator)13
F-TEST (DF denominator)91
p-value5.83000314691162e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation15.8158969812649
Sum Squared Residuals22762.9763563004


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1128.7108.65481067659820.0451893234017
2136.9114.41036623215422.4896337678461
3156.9129.92147734326526.9785226567349
4109.1110.332588454376-1.23258845437614
5122.3108.42147734326513.8785226567350
6123.9128.432588454376-4.53258845437615
790.982.5214773432658.37852265673495
877.980.0325884543762-2.13258845437617
9120.3127.130834885164-6.83083488516444
10118.9127.605415890751-8.70541589075111
11125.5119.6554158907515.84458410924892
1298.9101.780415890751-2.88041589075106
13102.9109.498564556176-6.5985645561763
14105.9115.254120111732-9.35412011173182
15117.6130.765231222843-13.1652312228429
16113.6111.1763423339542.42365766604592
17115.9109.2652312228436.63476877715704
18118.9129.276342333954-10.3763423339541
1977.683.365231222843-5.76523122284295
2081.280.8763423339540.323657666045935
21123.1127.974588764742-4.87458876474241
22136.6128.4491697703298.15083022967101
23112.1120.499169770329-8.399169770329
2495.1102.624169770329-7.52416977032899
2596.3110.342318435754-14.0423184357542
26105.7116.097873991310-10.3978739913097
27115.8131.608985102421-15.8089851024208
28105.7112.020096213532-6.32009621353197
29105.7110.108985102421-4.40898510242087
30111.1130.120096213532-19.0200962135320
3182.484.2089851024209-1.80898510242084
326081.720096213532-21.7200962135320
33107.3128.818342644320-21.5183426443203
3499.3129.292923649907-29.9929236499069
35113.5121.342923649907-7.84292364990689
36108.9103.4679236499075.43207635009313
37100.2111.186072315332-10.9860723153321
38103.9116.941627870888-13.0416278708876
39138.7132.4527389819996.24726101800124
40120.2112.8638500931107.33614990689013
41100.2110.952738981999-10.7527389819988
42143.2130.9638500931112.2361499068901
4370.985.0527389819988-14.1527389819988
4485.282.56385009310992.63614990689013
45133129.6620965238983.33790347610179
46136.6130.1366775294856.46332247051521
47117.9122.186677529485-4.28667752948478
48106.3104.3116775294851.98832247051522
49122.3112.0298261949110.2701738050900
50125.5117.7853817504667.71461824953444
51148.4133.29649286157715.1035071384234
52126.3113.70760397268812.5923960273122
5399.6111.796492861577-12.1964928615767
54140.4131.8076039726888.59239602731223
5580.385.8964928615766-5.59649286157665
5692.683.40760397268789.19239602731222
57138.5130.5058504034767.9941495965239
58110.9130.980431409063-20.0804314090627
59119.6123.030431409063-3.4304314090627
60105105.155431409063-0.155431409062682
61109112.873580074488-3.87358007448792
62129.4118.62913563004310.7708643699566
63148.6134.14024674115514.4597532588454
64101.4114.551357852266-13.1513578522657
65134.8112.64024674115522.1597532588454
66143.7132.65135785226611.0486421477343
6781.686.7402467411546-5.14024674115456
6890.384.25135785226576.04864214773432
69141.5131.34960428305410.150395716946
70140.7131.8241852886418.8758147113594
71140.2123.87418528864116.3258147113594
72100.2105.999185288641-5.79918528864058
73125.7113.71733395406611.9826660459342
74119.6119.4728895096210.127110490378640
75134.7134.984000620732-0.284000620732461
76109115.395111731844-6.39511173184358
77116.3113.4840006207322.81599937926753
78146.9133.49511173184413.4048882681564
7997.487.58400062073259.81599937926755
8089.485.09511173184364.30488826815643
81132.1116.00914028553716.0908597144631
82139.8116.48372129112423.3162787088765
83129108.53372129112420.4662787088765
84112.590.658721291123521.8412787088765
85121.998.376869956548723.5231300434513
86121.7104.13242551210417.5675744878957
87123.1119.6435366232153.45646337678462
88131.6100.05464773432631.5453522656735
89119.398.143536623215421.1564633767846
90132.5118.15464773432714.3453522656735
9198.372.243536623215426.0564633767846
9285.169.754647734326515.3453522656735
93131.7116.85289416511514.8471058348851
94129.3117.32747517070111.9725248292986
9590.7109.377475170701-18.6774751707014
9678.691.5024751707014-12.9024751707014
9768.999.2206238361266-30.3206238361266
9879.1104.976179391682-25.8761793916822
9983.5120.487290502793-36.9872905027933
10074.1100.898401613904-26.7984016139044
10159.798.9872905027933-39.2872905027933
10293.3118.998401613904-25.6984016139044
10361.373.0872905027933-11.7872905027933
10456.670.5984016139044-13.9984016139044
10598.5117.696648044693-19.1966480446927


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.5119779368518940.9760441262962120.488022063148106
180.3981600437516540.7963200875033080.601839956248346
190.2610217483513710.5220434967027420.738978251648629
200.2357211470943190.4714422941886370.764278852905681
210.1941578944168980.3883157888337970.805842105583102
220.2595664649234730.5191329298469460.740433535076527
230.179346374815280.358692749630560.82065362518472
240.1209296202037060.2418592404074110.879070379796294
250.08023193990079640.1604638798015930.919768060099204
260.04902493616545680.09804987233091360.950975063834543
270.03160131729087730.06320263458175470.968398682709123
280.02159835446812050.04319670893624110.97840164553188
290.01203903875668020.02407807751336030.98796096124332
300.007727554856865490.01545510971373100.992272445143135
310.005612517184618910.01122503436923780.994387482815381
320.003987482556098950.00797496511219790.996012517443901
330.002772996757242520.005545993514485050.997227003242757
340.004188826646023640.008377653292047280.995811173353976
350.003021805663958050.00604361132791610.996978194336042
360.006415419980787360.01283083996157470.993584580019213
370.004793852215525690.009587704431051380.995206147784474
380.003499529352112470.006999058704224940.996500470647887
390.006049837578626070.01209967515725210.993950162421374
400.00924278780783880.01848557561567760.990757212192161
410.006784556748519770.01356911349703950.99321544325148
420.02531355203886550.05062710407773090.974686447961135
430.02433003121128720.04866006242257450.975669968788713
440.02971407107774120.05942814215548230.970285928922259
450.03935424821957470.07870849643914950.960645751780425
460.0490754912737280.0981509825474560.950924508726272
470.04266835232081120.08533670464162250.957331647679189
480.03496228027944540.06992456055889070.965037719720555
490.03538693327311720.07077386654623450.964613066726883
500.03160077163303410.06320154326606830.968399228366966
510.02925380089843690.05850760179687380.970746199101563
520.02437175598497780.04874351196995570.975628244015022
530.02975828921480490.05951657842960980.970241710785195
540.02888606056622860.05777212113245710.971113939433771
550.03510542406776310.07021084813552620.964894575932237
560.03734251233003470.07468502466006930.962657487669965
570.03839462329556410.07678924659112820.961605376704436
580.1181542564419070.2363085128838140.881845743558093
590.1346320211484890.2692640422969780.865367978851511
600.1315854591912880.2631709183825750.868414540808712
610.1534762166068960.3069524332137910.846523783393105
620.1353678495185120.2707356990370240.864632150481488
630.1103286348610460.2206572697220930.889671365138954
640.2240165133820090.4480330267640170.775983486617991
650.227147364982830.454294729965660.77285263501717
660.2277066590862390.4554133181724780.772293340913761
670.5166434234282610.9667131531434780.483356576571739
680.6831908598599890.6336182802800230.316809140140012
690.6979172249347210.6041655501305580.302082775065279
700.708454402994110.5830911940117810.291545597005890
710.6879511674090980.6240976651818050.312048832590902
720.7004450284788210.5991099430423580.299554971521179
730.6542969189072460.6914061621855080.345703081092754
740.5833324739850360.8333350520299280.416667526014964
750.5394990599192880.9210018801614240.460500940080712
760.5445826274646420.9108347450707150.455417372535358
770.4636335975012450.9272671950024890.536366402498755
780.4413568125470530.8827136250941060.558643187452947
790.3651114747742410.7302229495484810.63488852522576
800.2837761291266590.5675522582533190.716223870873341
810.7204900343742830.5590199312514340.279509965625717
820.9199147559345440.1601704881309110.0800852440654555
830.871447034336630.2571059313267410.128552965663370
840.8276004693504340.3447990612991320.172399530649566
850.782044516829810.4359109663403790.217955483170190
860.6660337304036350.667932539192730.333966269596365
870.5435938670344450.912812265931110.456406132965555
880.5531401474267050.893719705146590.446859852573295


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.0833333333333333NOK
5% type I error level160.222222222222222NOK
10% type I error level320.444444444444444NOK