Multiple Linear Regression - Estimated Regression Equation
2JAAR[t] = + 88.4611764705882 -4.06349673202618M1[t] + 1.65967320261435M2[t] + 5.7997058823529M3[t] + 2.67973856209145M4[t] + 0.419771241830021M5[t] -2.28019607843141M6[t] -1.86016339869285M7[t] -2.60013071895428M8[t] + 1.93990196078429M9[t] -2.10006535947717M10[t] -3.2800326797386M11[t] -0.180032679738562t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)88.461176470588213.8543646.385100
M1-4.0634967320261816.157447-0.25150.8025060.401253
M21.6596732026143516.958950.09790.9224480.461224
M35.799705882352916.9372940.34240.7335280.366764
M42.6797385620914516.9178930.15840.8748090.437404
M50.41977124183002116.9007560.02480.9802880.490144
M6-2.2801960784314116.88589-0.1350.8931480.446574
M7-1.8601633986928516.873301-0.11020.9126760.456338
M8-2.6001307189542816.862994-0.15420.8781050.439053
M91.9399019607842916.8549730.11510.9088510.454425
M10-2.1000653594771716.849242-0.12460.901330.450665
M11-3.280032679738616.845802-0.19470.8464420.423221
t-0.1800326797385620.19656-0.91590.364290.182145


Multiple Linear Regression - Regression Statistics
Multiple R0.184169168221619
R-squared0.0339182825234429
Adjusted R-squared-0.207602146845696
F-TEST (value)0.140436494801035
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value0.99963124189441
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation26.6337381254669
Sum Squared Residuals34049.0883137255


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
161.284.2176470588235-23.0176470588235
26289.7607843137255-27.7607843137255
365.193.7207843137255-28.6207843137255
463.290.4207843137255-27.2207843137255
566.387.9807843137255-21.6807843137255
661.985.1007843137255-23.2007843137255
762.185.3407843137255-23.2407843137255
866.384.4207843137255-18.1207843137255
97288.7807843137255-16.7807843137255
1065.384.5607843137255-19.2607843137255
1167.683.2007843137255-15.6007843137255
1270.586.3007843137255-15.8007843137255
1374.282.0572549019608-7.85725490196077
1477.887.6003921568628-9.80039215686275
1578.591.5603921568627-13.0603921568627
1677.888.2603921568627-10.4603921568627
1781.485.8203921568627-4.42039215686273
1884.582.94039215686271.55960784313726
198883.18039215686274.81960784313726
2093.982.260392156862811.6396078431372
2198.986.620392156862812.2796078431372
2296.782.400392156862814.2996078431373
2398.981.040392156862817.8596078431373
24102.284.140392156862818.0596078431372
25105.479.89686274509825.503137254902
26105.185.4419.66
27116.689.427.2
2811286.125.9
29108.883.6625.14
30106.980.7826.12
31109.581.0228.48
32106.780.126.6
33118.984.4634.44
34117.580.2437.26
35113.778.8834.82
36119.681.9837.62
37120.677.736470588235342.8635294117647
38117.583.279607843137334.2203921568627
39120.387.239607843137233.0603921568628
40119.883.939607843137235.8603921568628
4110881.499607843137226.5003921568628
4298.878.619607843137320.1803921568627
4394.678.859607843137315.7403921568627
4484.677.93960784313736.66039215686274
4584.482.29960784313732.10039215686275
4679.178.07960784313721.02039215686275
4773.376.7196078431373-3.41960784313726
4874.379.8196078431373-5.51960784313729
4967.875.5760784313725-7.77607843137253
5064.881.1192156862745-16.3192156862745
5166.585.0792156862745-18.5792156862745
5257.781.7792156862745-24.0792156862745
5353.879.3392156862745-25.5392156862745
5451.876.4592156862745-24.6592156862745
5550.976.6992156862745-25.7992156862745
564975.7792156862745-26.7792156862745
5748.180.1392156862745-32.0392156862745
5842.675.9192156862745-33.3192156862745
5940.974.5592156862745-33.6592156862745
6043.377.6592156862745-34.3592156862746
6143.773.4156862745098-29.7156862745098


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.0001291833216435400.0002583666432870810.999870816678357
177.7892052154236e-061.55784104308472e-050.999992210794785
180.0001604300277815790.0003208600555631570.999839569972218
190.0003693981096125840.0007387962192251670.999630601890387
200.0004547883532635180.0009095767065270360.999545211646736
210.0003485165632173160.0006970331264346310.999651483436783
220.0005923217375717580.001184643475143520.999407678262428
230.0007212244940240260.001442448988048050.999278775505976
240.001021913753105850.002043827506211700.998978086246894
250.0009686583785275030.001937316757055010.999031341621472
260.001050469726696540.002100939453393080.998949530273303
270.002241314633150820.004482629266301650.99775868536685
280.003754380490243120.007508760980486230.996245619509757
290.005626112263857030.01125222452771410.994373887736143
300.01027971436116530.02055942872233070.989720285638835
310.01761593665988130.03523187331976250.982384063340119
320.05901493048538380.1180298609707680.940985069514616
330.0466557813943350.093311562788670.953344218605665
340.03084009732328650.06168019464657290.969159902676713
350.02368697137677800.04737394275355610.976313028623222
360.01356778770616810.02713557541233620.986432212293832
370.009213006916357750.01842601383271550.990786993083642
380.01397240510857120.02794481021714240.986027594891429
390.02772070749709550.0554414149941910.972279292502904
400.1800510369432270.3601020738864540.819948963056773
410.6567402616429730.6865194767140540.343259738357027
420.9057589005506270.1884821988987460.0942410994493732
430.9774342983727450.04513140325450970.0225657016272548
440.9761145564352140.04777088712957160.0238854435647858
450.967638493515230.06472301296953850.0323615064847693


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level130.433333333333333NOK
5% type I error level220.733333333333333NOK
10% type I error level260.866666666666667NOK