Multiple Linear Regression - Estimated Regression Equation
eonia[t] = + 4.15592941176471 -0.226790196078433M1[t] -0.159913725490198M2[t] -0.163582352941180M3[t] -0.24865098039216M4[t] -0.260719607843140M5[t] -0.36098823529412M6[t] -0.311856862745100M7[t] -0.22492549019608M8[t] -0.245194117647061M9[t] -0.179862745098042M10[t] -0.0943313725490219M11[t] -0.0495313725490196t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4.155929411764710.7041255.902300
M1-0.2267901960784330.821175-0.27620.7835970.391799
M2-0.1599137254901980.861911-0.18550.8535920.426796
M3-0.1635823529411800.86081-0.190.8500850.425042
M4-0.248650980392160.859824-0.28920.7736830.386841
M5-0.2607196078431400.858953-0.30350.7627960.381398
M6-0.360988235294120.858197-0.42060.6758990.337949
M7-0.3118568627451000.857558-0.36370.7177110.358855
M8-0.224925490196080.857034-0.26240.79410.39705
M9-0.2451941176470610.856626-0.28620.7759320.387966
M10-0.1798627450980420.856335-0.210.8345270.417264
M11-0.09433137254902190.85616-0.11020.9127260.456363
t-0.04953137254901960.00999-4.95829e-065e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.586785378864402
R-squared0.344317080849039
Adjusted R-squared0.180396351061299
F-TEST (value)2.10050968718168
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value0.0348169075442155
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.35361562785521
Sum Squared Residuals87.9492128627451


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12.083.87960784313725-1.79960784313725
22.093.89695294117647-1.80695294117647
32.073.84375294117647-1.77375294117647
42.043.70915294117647-1.66915294117647
52.353.64755294117647-1.29755294117647
62.333.49775294117647-1.16775294117647
72.373.49735294117647-1.12735294117647
82.593.53475294117647-0.94475294117647
92.623.46495294117647-0.84495294117647
102.63.48075294117647-0.880752941176471
112.833.51675294117647-0.686752941176471
122.783.56155294117647-0.781552941176473
133.013.28523137254902-0.275231372549022
143.063.30257647058824-0.242576470588235
153.333.249376470588230.080623529411766
163.323.114776470588230.205223529411765
173.63.053176470588240.546823529411764
183.572.903376470588240.666623529411765
193.572.902976470588240.667023529411764
203.832.940376470588240.889623529411764
213.842.870576470588240.969423529411764
223.82.886376470588240.913623529411764
234.072.922376470588241.14762352941176
244.052.967176470588241.08282352941176
254.2722.690854901960781.58114509803922
263.8582.70821.1498
274.0672.6551.412
283.9642.52041.4436
293.7822.45881.3232
304.1142.3091.805
314.0092.30861.7004
324.0252.3461.679
334.0822.27621.8058
344.0442.2921.752
353.9162.3281.588
364.2892.37281.91620000000000
374.2962.096478431372552.19952156862745
384.1932.113823529411762.07917647058824
393.482.060623529411761.41937647058824
402.9341.926023529411761.00797647058824
412.2211.864423529411760.356576470588236
421.2111.71462352941176-0.503623529411764
431.281.71422352941176-0.434223529411764
440.961.75162352941177-0.791623529411765
450.51.68182352941176-1.18182352941176
460.6871.69762352941176-1.01062352941176
470.3441.73362352941176-1.38962352941176
480.3461.77842352941177-1.43242352941177
490.3341.50210196078431-1.16810196078431
500.341.51944705882353-1.17944705882353
510.3281.46624705882353-1.13824705882353
520.3441.33164705882353-0.987647058823528
530.3411.27004705882353-0.929047058823529
540.321.12024705882353-0.800247058823529
550.3141.11984705882353-0.80584705882353
560.3251.15724705882353-0.83224705882353
570.3391.08744705882353-0.74844705882353
580.3291.10324705882353-0.774247058823529
590.481.13924705882353-0.65924705882353
600.3991.18404705882353-0.785047058823532
610.370.90772549019608-0.537725490196079


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.004067427031680540.008134854063361090.99593257296832
170.0006810334414204670.001362066882840930.99931896655858
180.0001019634559029530.0002039269118059070.999898036544097
191.34893749211852e-052.69787498423704e-050.999986510625079
201.80372337198144e-063.60744674396288e-060.999998196276628
212.15393752279348e-074.30787504558695e-070.999999784606248
222.55613153994926e-085.11226307989852e-080.999999974438685
232.99712232682948e-095.99424465365895e-090.999999997002878
244.34921728333755e-108.6984345666751e-100.999999999565078
255.52344309651239e-111.10468861930248e-100.999999999944766
264.43818377017946e-098.87636754035892e-090.999999995561816
273.7694772406998e-097.5389544813996e-090.999999996230523
283.60926102177713e-097.21852204355426e-090.99999999639074
291.43929129983413e-072.87858259966825e-070.99999985607087
306.7606411873192e-081.35212823746384e-070.999999932393588
314.48853660572322e-088.97707321144643e-080.999999955114634
327.5108672807777e-081.50217345615554e-070.999999924891327
337.85290861301129e-081.57058172260226e-070.999999921470914
346.65591828729338e-081.33118365745868e-070.999999933440817
352.59067683543586e-075.18135367087172e-070.999999740932316
363.14176047373146e-076.28352094746292e-070.999999685823953
371.25017550757980e-062.50035101515959e-060.999998749824492
383.97279677059104e-057.94559354118208e-050.999960272032294
390.009635502842884650.01927100568576930.990364497157115
400.3698669774181640.7397339548363270.630133022581836
410.9464016987240540.1071966025518910.0535983012759456
420.9876961794622250.02460764107555090.0123038205377754
430.997490461025750.005019077948501910.00250953897425096
440.9990926512665290.001814697466942040.000907348733471018
450.9959435754414320.008112849117136940.00405642455856847


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level260.866666666666667NOK
5% type I error level280.933333333333333NOK
10% type I error level280.933333333333333NOK