Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 18182.6675136116 -1149.48457350272X[t] + 1763.19168179067M1[t] + 4089.63817301875M2[t] -3.31533575318088M3[t] -6467.66884452512M4[t] + 11870.7776467030M5[t] + 9068.42413793104M6[t] + 12305.2706291591M7[t] + 9645.6140350877M8[t] + 6230.26052631579M9[t] + 7330.10701754386M10[t] + 1259.35350877193M11[t] + 4.95350877192993t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)18182.66751361161091.67470716.655800
X-1149.48457350272933.248488-1.23170.224320.11216
M11763.191681790671275.9532261.38190.1736880.086844
M24089.638173018751273.8895673.21040.0024190.00121
M3-3.315335753180881272.282185-0.00260.9979320.498966
M4-6467.668844525121271.13281-5.08817e-063e-06
M511870.77764670301270.4426869.343800
M69068.424137931041270.2125627.139300
M712305.27062915911270.4426869.685800
M89645.61403508771268.4654297.604200
M96230.260526315791266.8511644.91791.2e-056e-06
M107330.107017543861265.6968585.79141e-060
M111259.353508771931265.0037680.99550.3246850.162343
t4.9535087719299324.1798960.20490.8385850.419292


Multiple Linear Regression - Regression Statistics
Multiple R0.951798276886878
R-squared0.905919959884831
Adjusted R-squared0.879332122460979
F-TEST (value)34.0727207498314
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1999.78115458550
Sum Squared Residuals183959734.646824


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12036619950.8127041743415.187295825736
22278222282.2127041742499.787295825769
31916918194.2127041742974.787295825774
41380711734.81270417422072.18729582577
52974330078.2127041742-335.212704174221
62559127280.8127041742-1689.81270417421
72909630522.6127041742-1426.61270417423
82648227867.9096188748-1385.90961887478
92240524457.5096188748-2052.50961887477
102704425562.30961887481481.69038112524
111797019496.5096188748-1526.50961887477
121873018242.1096188748487.890381125225
131968420010.2548094374-326.254809437375
141978522341.6548094374-2556.65480943739
151847918253.6548094374225.345190562615
161069811794.2548094374-1096.25480943738
173195630137.65480943741818.34519056261
182950627340.25480943742165.74519056261
193450630582.05480943743923.94519056261
202716527927.3517241379-762.351724137928
212673624516.95172413792219.04827586207
222369125621.7517241379-1930.75172413793
231815719555.9517241379-1398.95172413793
241732818301.5517241379-973.551724137934
251820520069.6969147005-1864.69691470053
262099522401.0969147005-1406.09691470054
271738218313.0969147005-931.096914700544
28936711853.6969147005-2486.69691470054
293112430197.0969147005926.903085299456
302655127399.6969147006-848.69691470055
313065130641.49691470059.50308529945833
322585927986.7938294011-2127.79382940109
332510024576.3938294011523.60617059891
342577825681.193829401196.8061705989072
352041819615.3938294011802.606170598909
361868818360.9938294011327.006170598908
372042420129.1390199637294.860980036307
382477622460.53901996372315.46098003630
391981418372.53901996371441.46098003630
401273811913.1390199637824.860980036297
413156630256.53901996371309.46098003629
423011127459.13901996372651.86098003629
433001930700.9390199637-681.939019963701
443193426896.75136116155037.24863883848
452582623486.35136116152339.64863883848
462683524591.15136116152243.84863883847
472020518525.35136116151679.64863883848
481778917270.9513611615518.048638838473
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
562619526956.1934664247-761.193466424679
572051623545.7934664247-3029.79346642468
582275924650.5934664247-1891.59346642468
591902818584.7934664247443.206533575316
601697117330.3934664247-359.393466424685


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.4079736654275010.8159473308550030.592026334572499
180.571851142513970.8562977149720610.428148857486031
190.7671093498331350.465781300333730.232890650166865
200.6581668358489720.6836663283020560.341833164151028
210.6664531940056170.6670936119887650.333546805994383
220.6927935544981370.6144128910037260.307206445501863
230.6123631776074810.7752736447850380.387636822392519
240.5371101143365260.9257797713269480.462889885663474
250.5190618863139340.9618762273721320.480938113686066
260.4926441878373960.9852883756747920.507355812162604
270.4245198181971290.8490396363942580.575480181802871
280.5162561017060970.9674877965878050.483743898293903
290.4202714136163920.8405428272327850.579728586383608
300.3828365968951440.7656731937902890.617163403104856
310.2980442888300490.5960885776600970.701955711169951
320.5095609888106940.980878022378610.490439011189305
330.4321898354992590.8643796709985180.567810164500741
340.4038120244050070.8076240488100140.596187975594993
350.4784505093718110.9569010187436220.521549490628189
360.5328225747315860.9343548505368270.467177425268414
370.6046225002068960.7907549995862080.395377499793104
380.6106146013440630.7787707973118750.389385398655937
390.4977845859492710.9955691718985420.502215414050729
400.5376317466050260.9247365067899480.462368253394974
410.4486856801980240.8973713603960480.551314319801976
420.4770050798219450.954010159643890.522994920178055
430.326912412342750.65382482468550.67308758765725


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