Multiple Linear Regression - Estimated Regression Equation
Gzhdsidx[t] = + 14.1235749185668 + 1.14362276058632Vr_crisis[t] + 3.74368892508143NA_crisis[t] -0.354213179741224M1[t] -0.811778693901559M2[t] -0.795396053881653M3[t] -0.679013413861747M4[t] -0.579297440508507M5[t] -0.338295840119437M6[t] -0.338579866766198M7[t] -0.178863893412958M8[t] -0.199147920059719M9[t] -0.13943194670648M10[t] -0.09971597335324M11[t] -0.0997159733532392t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14.12357491856680.87812116.083900
Vr_crisis1.143622760586320.7627341.49940.1400650.070032
NA_crisis3.743688925081431.191913.14090.0028280.001414
M1-0.3542131797412240.944799-0.37490.7093140.354657
M2-0.8117786939015590.965996-0.84040.4047110.202355
M3-0.7953960538816530.960251-0.82830.4114250.205713
M4-0.6790134138617470.955328-0.71080.4805330.240266
M5-0.5792974405085070.95124-0.6090.5452870.272643
M6-0.3382958401194370.999318-0.33850.7363840.368192
M7-0.3385798667661980.994807-0.34030.7350210.36751
M8-0.1788638934129580.991101-0.18050.8575130.428757
M9-0.1991479200597190.988209-0.20150.8411060.420553
M10-0.139431946706480.986138-0.14140.8881290.444064
M11-0.099715973353240.984894-0.10120.9197610.45988
t-0.09971597335323920.028596-3.48710.0010270.000514


Multiple Linear Regression - Regression Statistics
Multiple R0.473575913072725
R-squared0.224274145442665
Adjusted R-squared0.00707090616661099
F-TEST (value)1.03255433109644
F-TEST (DF numerator)14
F-TEST (DF denominator)50
p-value0.438381636751226
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.55659732147622
Sum Squared Residuals121.149761061346


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112.113.6696457654723-1.56964576547231
21213.1123642779587-1.11236427795874
311.813.0290309446254-1.22903094462541
412.713.0456976112921-0.345697611292075
512.313.0456976112921-0.745697611292073
611.913.1869832383279-1.28698323832790
71213.0869832383279-1.08698323832790
812.313.1469832383279-0.846983238327904
912.813.0269832383279-0.226983238327904
1012.412.9869832383279-0.586983238327904
1112.312.9269832383279-0.626983238327904
1212.712.9269832383279-0.226983238327906
1312.712.47305408523340.226945914766557
1412.911.91577259771990.984227402280131
151311.83243926438651.16756073561346
1612.211.84910593105320.350894068946797
1712.311.84910593105320.450894068946797
1812.811.99039155808900.809608441910967
1912.811.89039155808900.909608441910967
2012.811.95039155808900.849608441910966
2112.211.83039155808900.369608441910965
2212.611.79039155808900.809608441910965
2312.811.73039155808901.06960844191097
2412.511.73039155808900.769608441910964
2512.411.27646240499461.12353759500543
2612.311.86280367806730.437196321932684
2711.911.77947034473400.120529655266017
2811.711.7961370114007-0.096137011400651
291211.79613701140070.203862988599348
3012.111.93742263843650.162577361563518
3111.711.8374226384365-0.137422638436483
3211.811.8974226384365-0.0974226384364817
3311.811.77742263843650.0225773615635184
3411.811.73742263843650.0625773615635187
3511.311.6774226384365-0.377422638436482
3611.311.6774226384365-0.377422638436483
3711.311.22349348534200.0765065146579809
3811.213.2662781623236-2.06627816232356
3911.413.1829448289902-1.78294482899023
4012.213.1996114956569-0.999611495656894
4112.913.1996114956569-0.299611495656894
4213.113.3408971226927-0.240897122692725
4313.513.24089712269270.259102877307275
4413.613.30089712269270.299102877307274
4514.413.18089712269271.21910287730728
4614.113.14089712269270.959102877307275
4715.113.08089712269272.01910287730727
4815.813.08089712269272.71910287730727
4915.912.62696796959833.27303203040174
5015.412.06968648208473.33031351791531
5115.511.98635314875143.51364685124864
5214.812.00301981541802.79698018458198
5313.212.00301981541801.19698018458198
5412.712.14430544245390.555694557546145
5512.112.04430544245390.0556945575461452
5611.912.1043054424539-0.204305442453855
5710.611.9843054424539-1.38430544245385
5810.711.9443054424539-1.24430544245385
599.811.8843054424539-2.08430544245385
60911.8843054424539-2.88430544245386
618.311.4303762893594-3.13037628935939
629.310.8730948018458-1.57309480184582
63910.7897614685125-1.78976146851249
649.110.8064281351792-1.70642813517915
651010.8064281351792-0.806428135179155


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.05251141108380330.1050228221676070.947488588916197
190.01518617553463120.03037235106926240.984813824465369
200.003764222022489590.007528444044979180.99623577797751
210.002911138039248410.005822276078496830.997088861960752
220.0007764766880112990.001552953376022600.999223523311989
230.0001863908067187660.0003727816134375320.999813609193281
246.18628731656522e-050.0001237257463313040.999938137126834
251.94693720460980e-053.89387440921959e-050.999980530627954
264.11468038336778e-068.22936076673556e-060.999995885319617
279.14167094156606e-071.82833418831321e-060.999999085832906
282.20229721397927e-074.40459442795853e-070.999999779770279
294.17067864395790e-088.34135728791579e-080.999999958293214
307.55283373741456e-091.51056674748291e-080.999999992447166
311.48242957741428e-092.96485915482856e-090.99999999851757
322.80690555070802e-105.61381110141605e-100.99999999971931
334.62643356937396e-119.25286713874791e-110.999999999953736
347.15441217555591e-121.43088243511118e-110.999999999992846
353.17719617874822e-126.35439235749644e-120.999999999996823
361.23674037443182e-122.47348074886365e-120.999999999998763
373.53246745482788e-137.06493490965576e-130.999999999999647
382.97632862910995e-135.95265725821989e-130.999999999999702
397.76944712071632e-131.55388942414326e-120.999999999999223
401.70443753469765e-113.40887506939529e-110.999999999982956
413.87611781565107e-097.75223563130213e-090.999999996123882
421.43117096916203e-072.86234193832406e-070.999999856882903
436.05289451548266e-061.21057890309653e-050.999993947105485
440.0002686345249889810.0005372690499779610.99973136547501
450.001500380373766360.003000760747532720.998499619626234
460.008505902140257060.01701180428051410.991494097859743
470.01347298163922950.02694596327845890.98652701836077


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level260.866666666666667NOK
5% type I error level290.966666666666667NOK
10% type I error level290.966666666666667NOK