Multiple Linear Regression - Estimated Regression Equation
Y[t] = -2.89999021216690 + 0.873627997570757X[t] + 0.0245492114319014Y1[t] + 0.145315150831421Y2[t] + 0.110701724083021Y3[t] -0.0225391490188104Y4[t] -0.361337024228986M1[t] -0.0556593556308913M2[t] -0.472649033262836M3[t] + 0.625633258667187M4[t] -0.223770882850354M5[t] + 0.365365125566834M6[t] + 0.360498507612941M7[t] + 0.676362526335275M8[t] + 0.420586202713588M9[t] + 0.0485506948041424M10[t] + 0.465680688403872M11[t] + 0.00673586861246828t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-2.899990212166900.61411-4.72231.6e-058e-06
X0.8736279975707570.04850618.010700
Y10.02454921143190140.052890.46420.6443380.322169
Y20.1453151508314210.0488012.97770.0042860.002143
Y30.1107017240830210.0504772.19310.0324690.016235
Y4-0.02253914901881040.057631-0.39110.6972120.348606
M1-0.3613370242289860.260616-1.38650.1710970.085549
M2-0.05565935563089130.27146-0.2050.8382860.419143
M3-0.4726490332628360.256836-1.84030.0710290.035514
M40.6256332586671870.2897132.15950.035110.017555
M5-0.2237708828503540.316335-0.70740.4822610.24113
M60.3653651255668340.296281.23320.2226610.111331
M70.3604985076129410.2436581.47950.1446030.072302
M80.6763625263352750.2840272.38130.0206740.010337
M90.4205862027135880.2685351.56620.122930.061465
M100.04855069480414240.2663580.18230.8560250.428012
M110.4656806884038720.2924021.59260.1168780.058439
t0.006735868612468280.0047651.41370.162990.081495


Multiple Linear Regression - Regression Statistics
Multiple R0.992141366913702
R-squared0.98434449194139
Adjusted R-squared0.979591926995026
F-TEST (value)207.118577662895
F-TEST (DF numerator)17
F-TEST (DF denominator)56
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.385429189322686
Sum Squared Residuals8.31911695898883


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
113.713.68287604173250.0171239582674963
214.214.3993450478646-0.199345047864642
313.513.42802333925730.0719766607427173
411.911.56097346273140.339026537268607
514.614.6671229011334-0.0671229011334472
615.615.35746382535970.242536174640255
714.114.1297202446051-0.0297202446051058
814.914.80840595932070.0915940406793455
914.214.14878976967080.0512102303291676
1014.614.30550566619280.294494333807151
1117.217.03127350387440.168726496125587
1215.415.28831817170920.111681828290779
1314.314.4537779240526-0.153777924052595
1417.516.94049887412670.559501125873268
1514.514.44383498983490.0561650101650815
1614.414.11175657534330.288243424656726
1716.616.6168757003131-0.0168757003130596
1816.716.9353566780576-0.235356678057576
1916.616.8791074575512-0.279107457551217
2016.916.84804204841100.0519579515890279
2115.715.9417792880156-0.241779288015571
2216.416.1014678514820.298532148517988
2318.418.5876744067525-0.187674406752515
2416.917.0042284049597-0.104228404959656
2516.516.48379512099640.0162048790036415
2618.317.99712148783900.302878512161034
2715.115.3524549204894-0.252454920489449
2815.715.58165731275650.118342687243487
2918.118.07886363704710.0211363629529026
3016.817.1155847303565-0.315584730356508
3118.918.79592187605810.104078123941907
321918.27233526237920.72766473762083
3318.117.69609134752070.403908652479327
3417.817.8470918465882-0.0470918465881536
3521.520.97951966107480.520480338925197
3617.117.05877772122950.0412222787705488
3718.719.0428824049365-0.342882404936517
381919.520997339621-0.520997339620994
3916.416.8581485033708-0.458148503370805
4016.916.9961490770563-0.0961490770563166
4118.618.6680562884838-0.068056288483806
4219.319.4331843720702-0.133184372070209
4319.419.9005892763920-0.50058927639203
4417.618.1454924534427-0.5454924534427
4518.619.3037743825785-0.703774382578548
4618.118.4346610520408-0.334661052040824
4720.421.2362088343153-0.836208834315295
4818.118.4661834245203-0.366183424520313
4919.619.35980751554730.240192484452722
5019.920.5143315604645-0.614331560464538
5119.218.97460763590260.225392364097358
5217.818.6640353271756-0.864035327175582
5319.219.5192981412791-0.319298141279137
542221.95855194575550.0414480542444776
5521.120.78295319382820.317046806171787
5619.519.23072004234670.269279957653273
5722.221.71091122481660.489088775183414
5820.921.2787374453993-0.378737445399308
5922.222.08092831509310.119071684906883
6023.523.19774986364980.302250136350196
6121.521.37403683944660.125963160553397
6224.324.27090757859060.0290924214094412
6322.822.44293061114490.357069388855098
6420.320.08542824493690.214571755063078
6523.723.24978333174350.450216668256547
6623.322.89985844840040.400141551599560
6719.619.21170795156530.388292048434659
681818.5950042340998-0.595004234099776
6917.317.29865398739780.00134601260221030
7016.816.63253613829690.167463861703146
7118.217.98439527888990.215604721110143
7216.516.48474241393160.0152575860684450
731615.90282415328810.0971758467118542
7418.417.95679811149360.44320188850643


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.06419711590493760.1283942318098750.935802884095062
220.04085153648639140.08170307297278280.959148463513609
230.01572856502223860.03145713004447720.984271434977761
240.00501951951934980.01003903903869960.99498048048065
250.001447172784733160.002894345569466310.998552827215267
260.000576060342238970.001152120684477940.99942393965776
270.0001694149788093410.0003388299576186820.99983058502119
280.0001027829982688910.0002055659965377820.99989721700173
293.32736923598257e-056.65473847196515e-050.99996672630764
301.10792150882343e-052.21584301764686e-050.999988920784912
313.28694967846295e-066.5738993569259e-060.999996713050322
322.22459011017784e-054.44918022035568e-050.999977754098898
330.0001529911735493700.0003059823470987410.99984700882645
347.3674708443508e-050.0001473494168870160.999926325291556
350.01094426718756130.02188853437512260.989055732812439
360.02981430172757020.05962860345514030.97018569827243
370.02060381281629470.04120762563258930.979396187183705
380.08129365073261050.1625873014652210.91870634926739
390.0575723034407490.1151446068814980.942427696559251
400.1081167883952170.2162335767904340.891883211604783
410.1132633667313810.2265267334627630.886736633268619
420.07624662625046440.1524932525009290.923753373749536
430.0815990918403010.1631981836806020.9184009081597
440.0650643377278020.1301286754556040.934935662272198
450.1145110837561970.2290221675123930.885488916243803
460.1103438093249460.2206876186498920.889656190675054
470.2515579766368250.503115953273650.748442023363175
480.2253758559349510.4507517118699020.77462414406505
490.4555392552144780.9110785104289570.544460744785522
500.539007908026380.9219841839472390.460992091973620
510.4575037238047770.9150074476095540.542496276195223
520.413832347299440.827664694598880.58616765270056
530.2677727669801620.5355455339603240.732227233019838


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level100.303030303030303NOK
5% type I error level140.424242424242424NOK
10% type I error level160.484848484848485NOK