Multiple Linear Regression - Estimated Regression Equation
Yt[t] = + 12.2406247261314 + 0.232373289440401Yt_1[t] + 0.334514566579160Yt_2[t] + 0.0190532461610643Yt_3[t] -0.0846729256870996Yt_4[t] -3.48048732019389M1[t] -0.467043484880352M2[t] -4.48331016033904M3[t] -5.27300518640634M4[t] -1.33980579687569M5[t] + 1.53664584963875M6[t] -4.77797385546277M7[t] -10.3001636157727M8[t] + 9.78306552323733M9[t] + 5.88075610040622M10[t] + 4.15159268968920M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)12.24062472613144.4180092.77060.0073150.003658
Yt_10.2323732894404010.1250631.8580.0677630.033881
Yt_20.3345145665791600.1274772.62410.010850.005425
Yt_30.01905324616106430.1281150.14870.8822420.441121
Yt_4-0.08467292568709960.122991-0.68840.4936580.246829
M1-3.480487320193892.455267-1.41760.161170.080585
M2-0.4670434848803522.331374-0.20030.8418580.420929
M3-4.483310160339042.821579-1.58890.1170030.058502
M4-5.273005186406342.787288-1.89180.0630430.031522
M5-1.339805796875692.629014-0.50960.6120690.306034
M61.536645849638752.8853750.53260.596180.29809
M7-4.777973855462772.31827-2.0610.043370.021685
M8-10.30016361577272.210753-4.65911.7e-058e-06
M99.783065523237332.8403053.44440.0010150.000507
M105.880756100406223.1487111.86770.0663880.033194
M114.151592689689202.6771941.55070.1258990.062949


Multiple Linear Regression - Regression Statistics
Multiple R0.95387231448526
R-squared0.909872392341468
Adjusted R-squared0.8887487342965
F-TEST (value)43.0736187077311
F-TEST (DF numerator)15
F-TEST (DF denominator)64
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.89712768075047
Sum Squared Residuals230.341979972458


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
122.39722.5291181340573-0.132118134057304
223.84323.9797145325185-0.136714532518468
321.70518.79266490803452.91233509196549
418.08918.2034614271835-0.114461427183472
520.76420.9227250611481-0.158725061148055
625.31623.04799769332942.26800230667058
717.70418.7981018443605-1.09410184436047
815.54813.38694164466392.16105835533607
928.02930.2830793911521-2.25407939115208
1029.38328.02934312077621.35365687922375
1136.43831.3933409610435.04465903895703
1232.03429.75443294462162.27956705537838
1322.67926.5795692347496-3.90056923474957
1424.31925.9657323064195-1.64673230641951
1518.00418.5198960684792-0.515896068479212
1617.53717.00602405567480.530975944325163
1720.36619.54160817459640.824391825403613
1822.78222.66004070671130.121959293288710
1919.16918.37898823750700.790011762492963
2013.80712.91886486498970.888135135010294
2129.74330.3540002329261-0.611000232926145
2225.59128.0877152777798-2.49671527777984
2329.09630.9283218769036-1.83232187690364
2426.48226.9599418446233-0.477941844623321
2522.40522.6160474798818-0.211047479881822
2627.04424.22602795235632.81797204764371
2717.9719.5773412886701-1.60734128867007
2818.7318.37455905172870.355440948271281
2919.68419.8825764910623-0.198576491062257
3019.78522.6692564683751-2.88425646837505
3118.47917.48003595679070.998964043209319
3210.69811.6419780250115-0.943978025011526
3331.95629.40138098169022.55461901830979
3429.50627.80256959824991.70343040175006
3534.50632.57753181731181.92846818268816
3627.16529.8321188283689-2.66711882836893
3726.73624.47169451593792.26430548406211
3823.69125.2324936755626-1.54149367556259
3918.15719.8019090761916-1.64490907619155
4017.32817.32107351599340.00692648400657125
4118.20519.1887393876882-0.983739387688245
4220.99522.1440582278097-1.14905822780968
4317.38217.22391410482170.158085895178314
449.36711.8823588427973-2.51535884279729
4531.12428.87341533885382.25058466114619
4626.55127.0406404821986-0.489640482198587
4730.65131.6800789564600-1.02907895645996
4825.85928.0446766166183-2.18567661661829
4925.122.89280687753182.20719312246822
5025.77824.59221318154021.18578681845981
5120.41820.04113688936760.37686311063242
5218.68818.62401315409670.0639868459032659
5320.42420.4393935275249-0.0153935275249063
5424.77622.98100136128681.79499863871322
5519.81418.67927226523551.13472773476449
5612.73813.6394142332491-0.901414233249097
5731.56630.35443622511321.21156377488677
5830.11127.99718724271042.11381275728962
5930.01932.5134872428337-2.4944872428337
6031.93428.81167765702573.12232234297426
6125.82624.12346552798391.70253447201612
6226.83526.47961491462250.355385085377546
6320.20520.6988747911053-0.493874791105269
6417.78918.4275441734839-0.638544173483901
6520.5220.11790507478000.402094925219965
6622.51822.6090229778348-0.0910229778348198
6715.57218.1875932409432-2.61559324094324
6811.50911.9763029199313-0.467302919931338
6925.44728.5986878302645-3.15168783026453
7024.0926.274544278285-2.18454427828501
7127.78629.4032391454479-1.61723914544789
7226.19526.2661521087421-0.0711521087420993
7320.51622.4462982298578-1.93029822985775
7422.75923.7932034369805-1.03420343698049
7519.02818.05517697815180.972823021848202
7616.97117.1753246218389-0.204324621838907
7720.03619.90605228320010.129947716799886
7822.48522.5456225646530-0.0606225646529591
7918.7318.10209435034140.627905649658635
8014.53812.75913946935711.77886053064289


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.2263225775013740.4526451550027480.773677422498626
200.1292986949218230.2585973898436460.870701305078177
210.06674399564782280.1334879912956460.933256004352177
220.2316076127063710.4632152254127430.768392387293629
230.9362684254935760.1274631490128480.0637315745064242
240.9358945377758670.1282109244482670.0641054622241335
250.9007881319019320.1984237361961360.0992118680980679
260.9039383486096520.1921233027806970.0960616513903484
270.9258763964902940.1482472070194130.0741236035097064
280.8919711445629520.2160577108740960.108028855437048
290.843226455535930.3135470889281390.156773544464069
300.906794189200810.1864116215983790.0932058107991896
310.8724404479553120.2551191040893760.127559552044688
320.87347496671930.2530500665613990.126525033280700
330.8801095989008760.2397808021982480.119890401099124
340.8556109481827930.2887781036344150.144389051817207
350.8582928554741460.2834142890517070.141707144525854
360.9057827051449260.1884345897101480.094217294855074
370.9314994739429950.1370010521140100.0685005260570049
380.9161892353015040.1676215293969910.0838107646984957
390.9065317747469140.1869364505061710.0934682252530857
400.866983318420970.266033363158060.13301668157903
410.8255495532956420.3489008934087160.174450446704358
420.7958762494120930.4082475011758150.204123750587907
430.7406811867331950.518637626533610.259318813266805
440.7809342356944290.4381315286111420.219065764305571
450.8256226467737480.3487547064525040.174377353226252
460.7693744485671890.4612511028656230.230625551432812
470.7610622160020660.4778755679958680.238937783997934
480.871495185363990.2570096292720200.128504814636010
490.931158224009430.1376835519811410.0688417759905703
500.8960216159544460.2079567680911070.103978384045554
510.8701808325974390.2596383348051230.129819167402561
520.834758050266390.3304838994672220.165241949733611
530.7667062003379780.4665875993240430.233293799662022
540.7649871821743780.4700256356512440.235012817825622
550.6889568267149160.6220863465701670.311043173285084
560.6440807086818890.7118385826362220.355919291318111
570.7848147389683010.4303705220633980.215185261031699
580.6945288190585350.6109423618829310.305471180941465
590.6341371346036050.731725730792790.365862865396395
600.8468796105785240.3062407788429520.153120389421476
610.7216484543817380.5567030912365240.278351545618262


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