Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 9387.4473706367 -0.208349443842813X[t] + 129.516229799319M1[t] -556.032767060951M2[t] + 383.208337781761M3[t] + 148.071092904942M4[t] + 536.948383907607M5[t] + 686.295868512073M6[t] + 1256.28633537861M7[t] + 1249.82740380037M8[t] + 946.679869485758M9[t] + 487.085170332202M10[t] -533.952818160934M11[t] + 19.6360507434562t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9387.4473706367248.82898637.726500
X-0.2083494438428130.106474-1.95680.0564560.028228
M1129.516229799319169.9288780.76220.4498440.224922
M2-556.032767060951148.61417-3.74150.0005060.000253
M3383.208337781761148.7404682.57640.013260.00663
M4148.071092904942185.6792480.79750.4292830.214642
M5536.948383907607294.3098681.82440.0745860.037293
M6686.295868512073343.5003511.99790.0516550.025827
M71256.28633537861351.8508523.57050.0008480.000424
M81249.82740380037414.8229583.01290.0041970.002099
M9946.679869485758344.2528642.750.0084920.004246
M10487.085170332202171.740942.83620.0067660.003383
M11-533.952818160934151.818432-3.5170.0009940.000497
t19.63605074345621.92574610.196600


Multiple Linear Regression - Regression Statistics
Multiple R0.917773465845367
R-squared0.842308134609817
Adjusted R-squared0.797743042216939
F-TEST (value)18.9006257898936
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value3.16413562018170e-14
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation233.245923115510
Sum Squared Residuals2502568.3899003


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
194879293.0391513272193.960848672802
287008421.90200302524278.097996974755
396279360.98596144635266.014038553654
489479054.22771090983-107.227710909832
592839114.38078255077168.619217449232
688299070.2228368475-241.222836847493
799479852.155891124494.8441088755972
896289461.3434386784166.656561321594
993189553.277652912-235.277652911996
1096059440.8443302228164.1556697772
1186408676.3357101224-36.3357101223976
1292149191.7966308035522.2033691964461
1395679490.7521614693176.2478385306889
1485478644.20024754078-97.2002475407793
1591859552.44848827314-367.448488273143
1694709218.8131594809251.186840519094
1791239261.46487783905-138.464877839047
1892789390.653669413-112.653669412992
191017010056.9527823571113.04721764286
2094349728.02011473246-294.020114732459
2196559744.53183029495-89.5318302949524
2294299648.76646311318-219.76646311318
2387398907.17628183549-168.176281835487
2495529394.51002759786157.489972402137
2596879675.7558555369811.2441444630183
2690198827.9538449454191.046155054608
2796729837.87661427305-165.87661427305
2892069333.8114404174-127.811440417392
2990699517.72408170096-448.72408170096
3097889628.99482110442159.005178895577
311031210050.2749880894261.725011910577
321010510123.8734459691-18.8734459690554
3398639940.36969544245-77.3696954424489
3496569869.60626152181-213.606261521814
3592959125.515886918169.484113081992
3699469617.64166988877328.358330111231
3797019914.30535667226-213.305356672255
3890499137.7588558749-88.7588558749075
391019010079.7597065098110.240293490192
4097069570.69414600192135.305853998078
4197659757.52367949937.47632050070986
4298939882.5454821963810.4545178036213
43999410276.9485709257-282.948570925656
441043310336.795965511796.204034488337
451007310107.0386384520-34.0386384519522
461011210137.1163353512-25.1163353512387
4792669359.2733508449-93.2733508448967
4898209849.52398882107-29.523988821072
491009710165.1474749943-68.1474749942544
5091159398.18504861368-283.185048613676
511041110253.9292294977157.070770502348
5296789829.45354318995-151.453543189949
53104089996.90657840993411.093421590065
54101539968.58319043871184.416809561287
551036810554.6677675034-186.667767503378
561058110530.967035108450.032964891583
571059710160.7821828987436.217817101349
581068010385.6666097910294.333390209033
5997389609.69877027921128.301229720790
60955610034.5276828887-478.527682888742


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.7211978202788680.5576043594422640.278802179721132
180.6975736115942790.6048527768114420.302426388405721
190.6051924447326620.7896151105346760.394807555267338
200.6152440387133690.7695119225732620.384755961286631
210.5600847576551230.8798304846897530.439915242344877
220.4976619386192430.9953238772384870.502338061380757
230.400443093037130.800886186074260.59955690696287
240.3681101045876850.736220209175370.631889895412315
250.2782216581995970.5564433163991950.721778341800403
260.2681226148646910.5362452297293830.731877385135309
270.2050058959601060.4100117919202120.794994104039894
280.1436532827834910.2873065655669810.85634671721651
290.2850610618785490.5701221237570980.714938938121451
300.3414063635513380.6828127271026770.658593636448662
310.429542982765710.859085965531420.57045701723429
320.3471166076662120.6942332153324240.652883392333788
330.2831826174289170.5663652348578330.716817382571084
340.3175024437226420.6350048874452840.682497556277358
350.2862400061589420.5724800123178840.713759993841058
360.5660729964356240.8678540071287530.433927003564376
370.4964658961491050.992931792298210.503534103850895
380.429570460248080.859140920496160.57042953975192
390.3524870422673250.704974084534650.647512957732675
400.3719433025315630.7438866050631250.628056697468437
410.3537781796451110.7075563592902210.64622182035489
420.2309582968366770.4619165936733530.769041703163323
430.1536307874912610.3072615749825220.84636921250874


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