Multiple Linear Regression - Estimated Regression Equation
Nikkei225[t] = + 1.76136822710579 -0.960255268334286month[t] -0.155257413606003`S&P`[t] -0.195263524204028Bel20[t] -0.186413495406639DAX[t] + 0.477200864515611HangSeng[t] + 164.108594105633t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.761368227105791398.8614040.00130.9989990.4995
month-0.9602552683342860.117957-8.140700
`S&P`-0.1552574136060030.131689-1.1790.2427070.121353
Bel20-0.1952635242040280.141245-1.38240.1715680.085784
DAX-0.1864134954066390.128392-1.45190.1513370.075668
HangSeng0.4772008645156110.0532388.963500
t164.10859410563314.16248211.587600


Multiple Linear Regression - Regression Statistics
Multiple R0.893053076885623
R-squared0.797543798134879
Adjusted R-squared0.77885553334733
F-TEST (value)42.6761824707350
F-TEST (DF numerator)6
F-TEST (DF denominator)65
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1906.20872451305
Sum Squared Residuals236186060.591628


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110168.529346.437303184822.082696816002
29937.049379.37875181487557.66124818513
39202.459568.64947580461-366.19947580461
49369.359474.8585421197-105.508542119701
58824.068867.34354546186-43.2835454618575
69537.39206.50164491928330.798355080720
79382.649012.25036286792370.389637132077
89768.78981.77034565418786.929654345822
911057.49725.965060253471331.43493974653
1011089.949963.430724076931126.50927592307
1110126.039931.19409745465194.835902545351
1210198.049875.61970324647322.420296753529
1310546.4410842.1446761993-295.704676199250
149345.5511059.5459373377-1713.99593733765
1510034.7411267.4019839445-1232.66198394453
1610133.2310992.2110671459-858.981067145916
1710492.5310638.9968047986-146.466804798617
1810356.8311277.8435557134-921.013555713358
199958.4410514.0021434006-555.562143400607
209522.510515.5917878896-993.091787889585
218828.269453.5428278368-625.282827836796
228109.538835.0480210873-725.518021087306
237568.428647.2890726575-1078.86907265750
247994.058817.04649278948-822.996492789479
258859.569309.40218550052-449.842185500521
268512.279291.2144136543-778.944413654305
278576.989390.08391176119-813.103911761187
2811259.8611184.930298810974.9297011891261
2913072.8712736.5552891172336.314710882844
3013376.8113634.6638232082-257.853823208185
3113481.3813501.6450861130-20.2650861129508
3214338.5414688.4886219005-349.948621900509
3313849.9915387.5579554255-1537.56795542551
3412525.5414245.8807949503-1720.34079495028
3513603.0215022.8775103913-1419.85751039126
3613592.4714765.9497633315-1173.47976333153
3715307.7816753.0874167666-1445.30741676663
3815680.6717342.8244177144-1662.15441771440
3916737.6318712.5231101385-1974.89311013845
4016785.6916890.0214698121-104.331469812120
4116569.0915613.9838828278955.10611717218
4217248.8915438.59630416931810.29369583072
4318138.3614875.90183693133262.45816306867
4417875.7514491.66550910553384.08449089449
4517400.4114610.85978418712789.55021581294
4617287.6514678.42048740362609.22951259642
4717604.1214811.14821904892792.97178095107
4817383.4215189.0606389392194.35936106100
4917225.8315346.08327598371879.7467240163
5016274.3315109.80659672311164.52340327686
5116399.3915000.42277203361398.96722796641
5216127.5814853.88616943591273.69383056407
5316140.7614933.02308830691207.73691169314
5415456.8114934.3093844185522.500615581504
5515505.1814778.5757053962726.604294603792
5615467.3314764.8337086467702.496291353258
5716906.2315286.05139109211620.17860890790
5817059.6615082.66442639751976.99557360249
5916205.4315361.8773809537843.552619046337
6016649.8215458.25552179151191.56447820850
6116111.4315268.4031780952843.026821904754
6214872.1515501.5240272523-629.374027252293
6313606.515482.1238707915-1875.6238707915
6413574.316131.6184339976-2557.31843399759
6512413.616089.7957259637-3676.19572596370
6611899.616214.5688334325-4314.96883343248
6711584.0116121.532501987-4537.52250198701
684460.636186.34839206256-1725.71839206256
6913908.978250.842435218445658.12756478156
7022347.91702144229-2345.91702144229
711181.275179.37965986182-3998.10965986182
722617.2-174.5001601512622791.70016015126


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.001398491662631790.002796983325263580.998601508337368
110.0001276666234034600.0002553332468069190.999872333376597
121.15113724470530e-052.30227448941059e-050.999988488627553
138.1252197446408e-071.62504394892816e-060.999999187478026
141.2562674907016e-052.5125349814032e-050.999987437325093
152.76349928548576e-065.52699857097151e-060.999997236500714
166.6470298007684e-071.32940596015368e-060.99999933529702
178.94268684915812e-081.78853736983162e-070.999999910573132
181.94912985266597e-083.89825970533194e-080.999999980508701
192.50249375321250e-095.00498750642499e-090.999999997497506
204.03657889385012e-108.07315778770024e-100.999999999596342
211.25937870742972e-102.51875741485945e-100.999999999874062
221.59839856798861e-113.19679713597723e-110.999999999984016
239.41731645539445e-121.88346329107889e-110.999999999990583
241.99098694482422e-123.98197388964845e-120.99999999999801
259.92005524288206e-121.98401104857641e-110.99999999999008
261.91818227289869e-123.83636454579739e-120.999999999998082
273.50124867618276e-127.00249735236552e-120.999999999996499
288.66688000622474e-131.73337600124495e-120.999999999999133
291.93782918965663e-133.87565837931325e-130.999999999999806
305.03343169456475e-141.00668633891295e-130.99999999999995
311.69020359059318e-143.38040718118636e-140.999999999999983
325.95224423951687e-141.19044884790337e-130.99999999999994
331.67748413412453e-133.35496826824906e-130.999999999999832
342.20352140219590e-114.40704280439181e-110.999999999977965
352.69136507523061e-105.38273015046121e-100.999999999730864
361.28985546040823e-062.57971092081647e-060.99999871014454
373.04618267732667e-066.09236535465333e-060.999996953817323
383.86589261617849e-067.73178523235698e-060.999996134107384
394.32381048732104e-068.64762097464208e-060.999995676189513
405.33674959548963e-061.06734991909793e-050.999994663250405
419.4176359374454e-061.88352718748908e-050.999990582364063
421.76451294800549e-053.52902589601097e-050.99998235487052
438.99725269701675e-061.79945053940335e-050.999991002747303
444.67870480103442e-069.35740960206885e-060.999995321295199
451.89409299079649e-063.78818598159298e-060.99999810590701
461.19104557909618e-062.38209115819236e-060.99999880895442
471.18879997784957e-062.37759995569913e-060.999998811200022
484.92673790875094e-079.85347581750187e-070.99999950732621
492.06842773584476e-074.13685547168953e-070.999999793157226
501.96864125208238e-073.93728250416475e-070.999999803135875
511.30065694753860e-072.60131389507720e-070.999999869934305
521.43917230846644e-072.87834461693289e-070.99999985608277
531.34407330355721e-072.68814660711442e-070.99999986559267
541.00693531302901e-062.01387062605802e-060.999998993064687
556.40937212841204e-050.0001281874425682410.999935906278716
560.2102964833338920.4205929666677830.789703516666108
570.2180341656464000.4360683312927990.7819658343536
580.1679831448012150.335966289602430.832016855198785
590.2235373720562380.4470747441124760.776462627943762
600.2770576808507260.5541153617014520.722942319149274
610.3526935098728830.7053870197457650.647306490127117
620.3802986703327480.7605973406654960.619701329667252


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level460.867924528301887NOK
5% type I error level460.867924528301887NOK
10% type I error level460.867924528301887NOK