Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 18301.5517241379 -1000.87931034482X[t] + 1738.42413793102M1[t] + 4069.82413793103M2[t] -18.1758620689729M3[t] -6477.57586206898M4[t] + 11865.8241379310M5[t] + 9068.42413793104M6[t] + 12310.2241379310M7[t] + 9625.8M8[t] + 6215.4M9[t] + 7320.2M10[t] + 1254.40000000000M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)18301.5517241379915.18169919.997700
X-1000.87931034482581.14096-1.72230.0915970.045798
M11738.424137931021257.2001181.38280.1732690.086634
M24069.824137931031257.2001183.23720.0022160.001108
M3-18.17586206897291257.200118-0.01450.9885260.494263
M4-6477.575862068981257.200118-5.15245e-063e-06
M511865.82413793101257.2001189.438300
M69068.424137931041257.2001187.213200
M712310.22413793101257.2001189.791800
M89625.81251.8159397.689500
M96215.41251.8159394.96519e-065e-06
M107320.21251.8159395.847700
M111254.400000000001251.8159391.00210.3214440.160722


Multiple Linear Regression - Regression Statistics
Multiple R0.951753185657985
R-squared0.905834126410122
Adjusted R-squared0.881791775706323
F-TEST (value)37.6766039881035
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1979.29478861406
Sum Squared Residuals184127569.431034


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12036620039.975862069326.024137930996
22278222371.3758620690410.62413793103
31916918283.3758620690885.624137931035
41380711823.97586206901983.02413793103
52974330167.3758620690-424.375862068960
62559127369.9758620689-1778.97586206895
72909630611.775862069-1515.77586206897
82648227927.3517241379-1445.35172413794
92240524516.9517241379-2111.95172413793
102704425621.75172413791422.24827586208
111797019555.9517241379-1585.95172413793
121873018301.5517241379428.448275862066
131968420039.9758620690-355.975862068954
141978522371.3758620690-2586.37586206897
151847918283.3758620690195.624137931036
161069811823.9758620690-1125.97586206896
173195630167.37586206901788.62413793103
182950627369.97586206902136.02413793103
193450630611.77586206903894.22413793104
202716527927.3517241379-762.351724137928
212673624516.95172413792219.04827586207
222369125621.7517241379-1930.75172413793
231815719555.9517241379-1398.95172413793
241732818301.5517241379-973.551724137935
251820520039.9758620690-1834.97586206895
262099522371.3758620690-1376.37586206896
271738218283.3758620690-901.375862068965
28936711823.9758620690-2456.97586206896
293112430167.3758620690956.624137931035
302655127369.975862069-818.97586206897
313065130611.775862069039.2241379310378
322585927927.3517241379-2068.35172413793
332510024516.9517241379583.048275862069
342577825621.7517241379156.248275862067
352041819555.9517241379862.048275862068
361868818301.5517241379386.448275862067
372042420039.9758620690384.024137931045
382477622371.37586206902404.62413793104
391981418283.37586206901530.62413793103
401273811823.9758620690914.024137931036
413156630167.37586206901398.62413793103
423011127369.97586206902741.02413793103
433001930611.7758620690-592.775862068962
443193426926.47241379315007.5275862069
452582623516.07241379312309.9275862069
462683524620.87241379312214.12758620690
472020518555.07241379311649.92758620690
481778917300.6724137931488.327586206894
492052019039.09655172411480.90344827587
502251821370.49655172411147.50344827586
511557217282.4965517241-1710.49655172414
521150910823.0965517241685.903448275864
532544729166.4965517241-3719.49655172414
542409026369.0965517241-2279.09655172415
552778629610.8965517241-1824.89655172414
562619526926.4724137931-731.472413793099
572051623516.0724137931-3000.0724137931
582275924620.8724137931-1861.87241379311
591902818555.0724137931472.927586206896
601697117300.6724137931-329.672413793106


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.4342153707574910.8684307415149820.565784629242509
170.3620343452649230.7240686905298460.637965654735077
180.4582749525991640.9165499051983290.541725047400836
190.7122778366764020.5754443266471960.287722163323598
200.6096846595074020.7806306809851960.390315340492598
210.6709055127084720.6581889745830560.329094487291528
220.6651794591411950.669641081717610.334820540858805
230.5907932575653730.8184134848692540.409206742434627
240.508083853045240.983832293909520.49191614695476
250.4777645043045050.955529008609010.522235495695495
260.4369283456131330.8738566912262660.563071654386867
270.3646944414752420.7293888829504840.635305558524758
280.417189559250580.834379118501160.58281044074942
290.3406257718319030.6812515436638070.659374228168097
300.2729859907928430.5459719815856870.727014009207157
310.2084709001560620.4169418003121240.791529099843938
320.3018243573950610.6036487147901220.698175642604939
330.2238208357247830.4476416714495670.776179164275217
340.1687172939835730.3374345879671460.831282706016427
350.1546391803343030.3092783606686070.845360819665697
360.1150156736539420.2300313473078840.884984326346058
370.1122962931174080.2245925862348160.887703706882592
380.1201535894615570.2403071789231150.879846410538443
390.07944118254924060.1588823650984810.92055881745076
400.07114103935205180.1422820787041040.928858960647948
410.04427138764176160.08854277528352320.955728612358238
420.04196027894081370.08392055788162740.958039721059186
430.02094829678908960.04189659357817920.97905170321091
440.05957784888221260.1191556977644250.940422151117787


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0344827586206897OK
10% type I error level30.103448275862069NOK