Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 1524.33606731476 + 0.642981455652727X[t] + 278.588595755845M1[t] -642.67177115473M2[t] + 57.6791311614409M3[t] -209.92069689072M4[t] -481.355455121435M5[t] -278.074378354788M6[t] -751.999266684727M7[t] -123.500037172763M8[t] -10.4870991147353M9[t] -173.353327124048M10[t] + 17.7112845633109M11[t] -3.82626082202624t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1524.33606731476324.7208024.69432.3e-051.2e-05
X0.6429814556527270.0670459.590300
M1278.588595755845178.5640721.56020.1254310.062715
M2-642.67177115473186.741669-3.44150.0012240.000612
M357.6791311614409186.0113450.31010.7578680.378934
M4-209.92069689072186.613208-1.12490.2663450.133172
M5-481.355455121435185.801943-2.59070.0127170.006359
M6-278.074378354788186.663784-1.48970.1429820.071491
M7-751.999266684727185.299926-4.05830.0001859.3e-05
M8-123.500037172763189.500814-0.65170.5177610.258881
M9-10.4870991147353185.085404-0.05670.9550560.477528
M10-173.353327124048186.395937-0.930.3571090.178555
M1117.7112845633109185.7752730.09530.9244520.462226
t-3.826260822026242.67948-1.4280.1599070.079954


Multiple Linear Regression - Regression Statistics
Multiple R0.894325528268926
R-squared0.799818150513493
Adjusted R-squared0.744448702783183
F-TEST (value)14.4451169968173
F-TEST (DF numerator)13
F-TEST (DF denominator)47
p-value2.89546164822241e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation292.466566643235
Sum Squared Residuals4020224.55239184


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13956.24356.68573839844-400.485738398441
23142.73435.26410496306-292.564104963056
33884.34240.77410319034-356.474103190338
43892.24054.99314420909-162.793144209095
536133819.59697540682-206.596975406823
63730.53762.63078683714-32.1307868371358
73481.33424.6638061440756.636193855927
83649.54082.25742536343-432.75742536343
94215.24390.96124828847-175.761248288474
104066.64033.9462485839332.6537514160729
114196.84374.66427291357-177.864272913566
124536.64771.2575681392-234.657568139197
134441.64434.930327620666.66967237933591
143548.33656.31487548575-108.014875485755
154735.94412.50819606447323.391803935527
164130.63987.02375041589143.576249584109
174356.24129.76497568299226.435024317011
184159.64228.46459752683-68.864597526826
1939883700.36800039725287.631999602747
204167.84031.51993458172136.28006541828
214902.24824.324495467777.8755045322973
223909.43900.006957440759.3930425592461
234697.64418.25216167611279.347838323889
244308.94466.15661350127-157.256613501269
254420.44398.4670251544421.9329748455550
263544.23556.45360149218-12.2536014921762
2744334322.35594205125110.644057948750
284479.74460.2518478455919.4481521544112
294533.24174.96031808467358.239681915334
304237.53984.12539044808253.37460955192
314207.43818.86322874334388.536771256659
3243944142.74947247893251.250527521068
335148.44640.23265078362508.167349216384
344202.24287.20413610412-85.0041361041163
354682.54733.49971545193-50.9997154519336
364884.34594.61805440997289.681945590027
375288.95006.20684310669282.693156893307
384505.23847.26785995319657.932140046805
394611.54568.2900949077143.2099050922918
4051044939.2024802306164.797519769405
414586.64562.6075837669823.9924162330158
424529.34158.23851470813371.061485291871
434504.14591.65638636164-87.556386361643
444604.94206.52697894897398.373021051027
454795.44910.08571379036-114.685713790357
465391.15288.5129030614102.587096938601
475213.95127.9625845641785.9374154358281
4854155419.62130622728-4.62130622727842
495990.35869.08170266194121.218297338057
504241.84486.89955810582-245.099558105818
515677.65798.37166378623-120.771663786231
525164.25329.22877729883-165.028777298830
533962.34364.37014705854-402.070147058539
5440114534.44071047983-523.440710479829
553310.33955.54857835369-645.24857835369
563837.34190.44618862694-353.146188626944
574145.34440.89589166985-295.595891669850
583796.73856.32975480980-59.6297548098038
593849.63986.02126539422-136.421265394218
6042854178.14645772228106.853542277719
614189.64221.62836305781-32.0283630578138


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.1706179360350250.341235872070050.829382063964975
180.1897650420614700.3795300841229390.81023495793853
190.09760452521448020.1952090504289600.90239547478552
200.04937550112080020.09875100224160030.9506244988792
210.02399285136866370.04798570273732730.976007148631336
220.07157266360360190.1431453272072040.928427336396398
230.04092636932418360.08185273864836720.959073630675816
240.05564334605737240.1112866921147450.944356653942628
250.06030062682322770.1206012536464550.939699373176772
260.07451422370217680.1490284474043540.925485776297823
270.06622818819009970.1324563763801990.9337718118099
280.1009503816881430.2019007633762860.899049618311857
290.06496324654605110.1299264930921020.935036753453949
300.03940297067947450.0788059413589490.960597029320525
310.03016864300298390.06033728600596780.969831356997016
320.01926941285622130.03853882571244260.980730587143779
330.02266235568536060.04532471137072110.97733764431464
340.07678343465461820.1535668693092360.923216565345382
350.1608197170298690.3216394340597370.839180282970131
360.1740127458805940.3480254917611880.825987254119406
370.2287998858016400.4575997716032810.77120011419836
380.3556164102730660.7112328205461330.644383589726934
390.7016426556979840.5967146886040320.298357344302016
400.8206248737623230.3587502524753530.179375126237677
410.8020254479516480.3959491040967040.197974552048352
420.7026111678776440.5947776642447130.297388832122356
430.6770613309843550.645877338031290.322938669015645
440.8226352155611820.3547295688776370.177364784438818


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.107142857142857NOK
10% type I error level70.25NOK