Multiple Linear Regression - Estimated Regression Equation
S&P[t] = + 3901.66133003445 + 0.679202303098418Bel20[t] + 0.0093168895553967Nikkei225[t] -0.815900090317011DAX[t] + 0.0111161931322036HangSeng[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3901.661330034451240.4434243.14540.0024740.001237
Bel200.6792023030984180.2629722.58280.011990.005995
Nikkei2250.00931688955539670.0671890.13870.8901290.445065
DAX-0.8159000903170110.26881-3.03520.003420.00171
HangSeng0.01111619313220360.0639680.17380.8625630.431282


Multiple Linear Regression - Regression Statistics
Multiple R0.419785427527184
R-squared0.176219805164180
Adjusted R-squared0.127038898009803
F-TEST (value)3.58309383377236
F-TEST (DF numerator)4
F-TEST (DF denominator)67
p-value0.0104409700206471
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1812.90836227926
Sum Squared Residuals220204660.911477


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11221.53357.955115289487863.574884710513
21180.55495.034567425437685.515432574563
31183.26677.714829032561505.545170967439
41141.2914.184864809546227.015135190454
51049.331046.886670206292.44332979370736
61101.6917.917409608057183.682590391942
71030.71966.50445667422764.2055433257735
81089.411012.4260670410676.9839329589371
91186.69951.361781690657235.328218309343
101169.43901.524580513672267.905419486328
111104.491372.92817641194-268.438176411944
121073.871329.19637169705-255.32637169705
131115.1896.91186150793218.18813849207
141095.631114.37656627719-18.7465662771854
151036.191198.34293891511-162.152938915115
161057.081005.5298389229851.5501610770234
171020.621092.18146842085-71.561468420854
18987.481064.10660887841-76.6266088784103
19919.321427.69576095184-508.375760951844
20919.141451.70377608517-532.563776085168
21872.811561.40557388708-688.595573887076
22797.872073.26649794152-1275.39649794152
23735.092404.93062949618-1669.84062949618
24825.882399.04839530752-1573.16839530752
25903.252349.47468650333-1446.22468650333
26896.242359.34684221854-1463.10684221854
27968.752219.02768615725-1250.27768615725
281166.361997.27643916016-830.916439160158
291282.831686.01703820086-403.187038200863
301267.381518.60785032155-251.227850321548
3112801588.09275965233-308.092759652332
321400.381045.84241035678354.537589643219
331385.591450.84586636828-65.2558663682768
341322.71767.65349638071-444.95349638071
351330.631809.96920542103-479.339205421033
361378.551636.44289344723-257.892893447225
371468.36726.419654324607741.940345675393
381481.14922.548444366672558.591555633328
391549.381014.33415735923535.04584264077
401526.751136.36330108647390.38669891353
411473.991225.01807133746248.971928662538
421455.271169.35007158938285.919928410624
431503.35703.633318736995799.716681263005
441530.62877.102379180439653.517620819561
451482.371225.45071522196256.919284778038
461420.861451.33531162696-30.4753116269564
471406.821619.87129069039-213.051290690387
481438.241512.77527142158-74.5352714215836
491418.31554.62753310622-136.327533106215
501400.631694.57794631895-293.947946318949
511377.941658.64072798274-280.700727982741
521335.851844.61058005421-508.760580054208
531303.822120.9561079593-817.136107959299
541276.662255.63716502283-978.977165022828
551270.22197.56968522333-927.369685223326
561270.092120.60443535990-850.514435359897
571310.611751.57401685293-440.96401685293
581294.871670.61506904796-375.745069047958
591280.661717.70178002432-437.041780024319
601280.081863.28993985208-583.209939852076
611248.291994.27383160702-745.983831607025
621249.482161.44393949087-911.963939490869
631207.012280.96590213628-1073.95590213628
641228.812156.84132071685-928.031320716848
651220.332307.02173592291-1086.69173592291
661234.182314.01490805587-1079.83490805587
671191.332535.47285390333-1344.14285390333
681191.5301.022528781206890.477471218794
6911008.96040.073447674834968.82655232517
704348.773562.77545169209785.99454830791
7114195.351491.0800098025512704.2699901975
721221.53357.955115289489863.574884710511


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
85.36273322959642e-071.07254664591928e-060.999999463726677
93.15527804493776e-096.31055608987552e-090.999999996844722
101.79494028428203e-113.58988056856406e-110.99999999998205
111.04130978981112e-132.08261957962223e-130.999999999999896
121.69155465453844e-153.38310930907689e-150.999999999999998
132.70526922025508e-175.41053844051015e-171
145.56578304165071e-181.11315660833014e-171
151.84468942640024e-193.68937885280048e-191
161.63058770792088e-213.26117541584175e-211
171.38687527344559e-232.77375054689118e-231
181.35855314024320e-252.71710628048639e-251
191.32544241649339e-272.65088483298678e-271
209.82195934084636e-301.96439186816927e-291
214.44804048810969e-318.89608097621937e-311
221.04873714870125e-322.09747429740251e-321
232.62750697505035e-345.25501395010071e-341
249.17111452502764e-361.83422290500553e-351
251.05802366763262e-362.11604733526525e-361
261.41365010644719e-382.82730021289437e-381
276.27802954579363e-401.25560590915873e-391
289.19973329948479e-421.83994665989696e-411
292.79269319753747e-435.58538639507494e-431
302.26869897788983e-444.53739795577965e-441
312.79079508823505e-465.58159017647010e-461
322.77467256855098e-485.54934513710197e-481
334.01943873964431e-508.03887747928863e-501
345.43999990118575e-521.08799998023715e-511
353.81008557387632e-537.62017114775264e-531
364.54084950442022e-559.08169900884043e-551
371.96134261175591e-543.92268522351183e-541
381.88462165447589e-553.76924330895179e-551
398.51355491308592e-571.70271098261718e-561
401.21138050960024e-582.42276101920049e-581
411.54276271900177e-603.08552543800354e-601
422.26365496577007e-624.52730993154015e-621
434.59705866633819e-649.19411733267637e-641
443.05901795840702e-656.11803591681404e-651
451.63920497744831e-663.27840995489663e-661
466.34194580966901e-681.26838916193380e-671
472.13139586892324e-694.26279173784648e-691
482.83217813915127e-705.66435627830255e-701
494.60690595704502e-719.21381191409003e-711
504.26953699749887e-718.53907399499775e-711
515.97032935514885e-721.19406587102977e-711
523.09015698871613e-736.18031397743225e-731
536.43141343624823e-751.28628268724965e-741
541.15044798584418e-762.30089597168837e-761
551.66635811039386e-783.33271622078772e-781
562.37617786841222e-804.75235573682445e-801
576.66009072526662e-821.33201814505332e-811
582.29455760689867e-834.58911521379733e-831
597.23210479023434e-851.44642095804687e-841
601.54057096113466e-853.08114192226932e-851
618.46689505415489e-861.69337901083098e-851
623.36748534633244e-856.73497069266489e-851
631.16534381872894e-852.33068763745788e-851
647.02047072427143e-861.40409414485429e-851


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level571NOK
5% type I error level571NOK
10% type I error level571NOK