Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 0.697386631716908 + 1.07821756225426X[t] + 0.188267365661863M1[t] + 0.0823564875491473M2[t] + 0.0821782437745737M3[t] + 0.040089121887287M4[t] + 0.175732634338139M5[t] + 0.069732634338139M6[t] + 0.099732634338139M7[t] + 0.141643512450852M8[t] + 0.115643512450852M9[t] + 0.047821756225426M10[t] + 0.00591087811271298M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.6973866317169080.1345585.18285e-062e-06
X1.078217562254260.03467931.091100
M10.1882673656618630.1659991.13410.2624850.131242
M20.08235648754914730.1660630.49590.622250.311125
M30.08217824377457370.1659540.49520.6227750.311388
M40.0400891218872870.1659270.24160.8101350.405068
M50.1757326343381390.1659991.05860.2951760.147588
M60.0697326343381390.1659990.42010.6763430.338171
M70.0997326343381390.1659990.60080.5508580.275429
M80.1416435124508520.1660630.8530.3980110.199006
M90.1156435124508520.1660630.69640.4896170.244809
M100.0478217562254260.1659540.28820.7744890.387245
M110.005910878112712980.1659270.03560.9717330.485867


Multiple Linear Regression - Regression Statistics
Multiple R0.97698956501841
R-squared0.954508610154864
Adjusted R-squared0.94289378721568
F-TEST (value)82.1802118855151
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.262338833659341
Sum Squared Residuals3.23461819134993


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12.051.963871559633020.0861284403669798
22.111.857960681520320.252039318479683
32.091.857782437745740.232217562254259
42.051.815693315858450.234306684141546
52.081.951336828309310.128663171690695
62.061.845336828309310.214663171690695
72.061.875336828309310.184663171690695
82.081.917247706422020.162752293577982
92.071.891247706422020.178752293577981
102.061.823425950196590.236574049803407
112.071.781515072083880.288484927916120
122.061.775604193971170.284395806028833
132.091.963871559633030.126128440366970
142.071.857960681520310.212039318479686
152.091.857782437745740.232217562254259
162.282.085247706422020.194752293577981
172.332.220891218872870.109108781127130
182.352.114891218872870.23510878112713
192.522.414445609436440.105554390563565
202.632.456356487549150.173643512450852
212.582.430356487549150.149643512450852
222.72.632089121887290.0679108781127131
232.812.590178243774570.219821756225426
242.972.853821756225430.116178243774574
253.043.04208912188729-0.00208912188728887
263.283.205732634338140.0742673656618617
273.333.205554390563560.124445609436436
283.53.433019659239840.0669803407601573
293.563.56866317169069-0.00866317169069452
303.573.462663171690690.107336828309305
313.693.76221756225426-0.0722175622542595
323.823.804128440366970.0158715596330275
333.793.778128440366970.0118715596330278
343.963.97986107470511-0.0198610747051113
354.063.93795019659240.122049803407601
364.053.932039318479690.117960681520315
374.034.12030668414155-0.090306684141548
383.944.01439580602883-0.0743958060288326
394.024.014217562254260.00578243774574043
403.883.97212844036697-0.0921284403669724
414.024.10777195281782-0.0877719528178247
424.034.001771952817820.028228047182176
434.094.031771952817820.0582280471821756
443.994.07368283093054-0.0836828309305369
454.014.04768283093054-0.0376828309305373
464.013.979861074705110.0301389252948886
474.194.20750458715596-0.0175045871559628
484.34.201593709043250.0984062909567495
494.274.38986107470511-0.119861074705114
503.824.2839501965924-0.463950196592398
513.153.74466317169069-0.594663171690695
522.492.89391087811271-0.403910878112713
531.811.95133682830931-0.141336828309305
541.261.84533682830931-0.585336828309306
551.061.33622804718218-0.276228047182176
560.841.10858453473132-0.268584534731324
570.781.08258453473132-0.302584534731324
580.71.01476277850590-0.314762778505898
590.360.972851900393185-0.612851900393185
600.350.966941022280472-0.616941022280472


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.001302930523957010.002605861047914030.998697069476043
170.0001227359994094010.0002454719988188010.99987726400059
183.20495567024431e-056.40991134048863e-050.999967950443298
195.80184528839881e-061.16036905767976e-050.999994198154712
202.36944212831141e-064.73888425662281e-060.999997630557872
213.0694626968905e-076.138925393781e-070.99999969305373
227.4878157055439e-071.49756314110878e-060.99999925121843
232.05774205941695e-074.11548411883389e-070.999999794225794
246.08229157996809e-081.21645831599362e-070.999999939177084
251.23874614883201e-082.47749229766401e-080.999999987612538
264.73477909853461e-099.46955819706923e-090.99999999526522
277.00362497182087e-091.40072499436417e-080.999999992996375
282.41042358537337e-094.82084717074674e-090.999999997589576
294.8166292083947e-109.6332584167894e-100.999999999518337
302.65902668303813e-105.31805336607625e-100.999999999734097
311.49883220209994e-102.99766440419987e-100.999999999850117
322.44924477020674e-114.89848954041348e-110.999999999975508
333.7148352069936e-127.4296704139872e-120.999999999996285
345.81288040798854e-131.16257608159771e-120.999999999999419
353.71915688163386e-137.43831376326773e-130.999999999999628
367.03787142243884e-131.40757428448777e-120.999999999999296
371.03731517877432e-132.07463035754864e-130.999999999999896
384.42167437494018e-128.84334874988037e-120.999999999995578
391.08885410194382e-092.17770820388763e-090.999999998911146
408.2585411691057e-091.65170823382114e-080.999999991741459
411.95898810897004e-083.91797621794007e-080.99999998041012
423.84583717314523e-077.69167434629045e-070.999999615416283
431.54454215402667e-063.08908430805333e-060.999998455457846
443.91727109508774e-057.83454219017548e-050.99996082728905


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level291NOK
5% type I error level291NOK
10% type I error level291NOK