Multiple Linear Regression - Estimated Regression Equation
Wealth[t] = -504114.977829084 + 662967.306012224Group[t] + 24.5611272824609Costs[t] -41.5957333099101Trades[t] + 5.32130251682934Dividends[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-504114.977829084268975.73522-1.87420.0675520.033776
Group662967.306012224233076.8122382.84440.0067270.003364
Costs24.56112728246096.1905253.96750.0002640.000132
Trades-41.5957333099101789.29099-0.05270.9582090.479105
Dividends5.321302516829341.6903713.1480.002950.001475


Multiple Linear Regression - Regression Statistics
Multiple R0.76894626336554
R-squared0.591278355943827
Adjusted R-squared0.554121842847811
F-TEST (value)15.9131820151130
F-TEST (DF numerator)4
F-TEST (DF denominator)44
p-value3.96084618436987e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation792391.601716665
Sum Squared Residuals27626915820728.5


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162829295240511.296784471042417.70321553
243240471312782.171228473011264.82877153
341082723105341.078879871002930.92112013
4-12126171414296.42009068-2626913.42009068
514853292164423.20527414-679094.205274138
617798762036085.74822804-256209.748228038
713672031169952.19869525197250.801304752
825190762434179.6169938484896.383006163
99126841387765.89432226-475081.894322265
101443586808504.783524156635081.216475844
1112200171432139.97834362-212122.978343617
1298488558248.9711792924926636.028820708
131457425582255.667484544875169.332515456
14-572920729125.220527678-1302045.22052768
159291441247902.52918286-318758.529182862
161151176457423.723576184693752.276423816
177900901199739.74314781-409649.743147815
187744971257583.77805814-483086.778058139
199905761273553.51330853-282977.513308526
20454195571763.749324438-117568.749324438
21876607911058.40629959-34451.4062995899
227119691128453.52094796-416484.520947956
23702380699874.8285954422505.17140455813
24264449500548.842538917-236099.842538917
25450033380234.81945944369798.1805405567
26541063221579.483426094319483.516573906
275888641187573.35948637-598709.359486366
28-37216-65915.417601854528699.4176018545
29783310-124038.622044060907348.62204406
30467359100246.352931555367112.647068445
31688779704244.134134435-15465.1341344350
326084191010264.02817151-401845.028171514
33696348748354.122308335-52006.1223083347
34597793811265.176181658-213472.176181658
358217301154772.94885707-333042.948857067
36377934489779.752529279-111845.752529279
37651939217087.58491888434851.41508112
38697458885065.392149662-187607.392149662
397003681234162.08534717-533794.085347173
4022598614454.0938063610211531.906193639
41348695334000.38023190514694.6197680950
42373683343506.21164296630176.7883570342
4350170996820.1978022888404888.802197711
44413743285587.325254383128155.674745617
45379825-25009.0554696691404834.055469669
46336260789241.854339624-452981.854339624
476367651309336.69349311-672571.693493115
484812311058393.94387125-577162.94387125
49469107261538.268236057207568.731763943


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.999997765522024.46895596018079e-062.23447798009039e-06
90.9999999971046945.79061141253223e-092.89530570626611e-09
100.9999999978336574.33268589712414e-092.16634294856207e-09
110.9999999978101774.37964600785177e-092.18982300392588e-09
120.9999999998523272.95345996691483e-101.47672998345741e-10
130.9999999999837043.25922187753303e-111.62961093876652e-11
140.9999999999999715.76174671813783e-142.88087335906892e-14
150.999999999999983.88583823724936e-141.94291911862468e-14
1611.16482526544679e-155.82412632723397e-16
170.9999999999999975.21714082293867e-152.60857041146933e-15
180.9999999999999921.53111720049049e-147.65558600245243e-15
190.9999999999999843.19786807605004e-141.59893403802502e-14
200.999999999999892.18734511392418e-131.09367255696209e-13
210.999999999999813.80806001867231e-131.90403000933615e-13
220.9999999999991471.7057508495589e-128.5287542477945e-13
230.9999999999961037.79313730849583e-123.89656865424791e-12
240.9999999999851182.97633028648754e-111.48816514324377e-11
250.9999999999143371.71325549419838e-108.5662774709919e-11
260.9999999996314467.37107824852936e-103.68553912426468e-10
270.999999998439263.12148166031589e-091.56074083015795e-09
280.9999999996409037.18194955130118e-103.59097477565059e-10
290.9999999999217181.56563171009302e-107.82815855046509e-11
300.999999999646797.06419283817127e-103.53209641908564e-10
310.9999999984915133.01697368991477e-091.50848684495739e-09
320.999999990144431.97111400926475e-089.85557004632377e-09
330.9999999746187755.07624498408896e-082.53812249204448e-08
340.9999998563537482.87292503126202e-071.43646251563101e-07
350.9999990098581871.98028362498962e-069.9014181249481e-07
360.9999946593296961.06813406085621e-055.34067030428106e-06
370.9999919561911671.60876176657871e-058.04380883289354e-06
380.9999938117152111.23765695774905e-056.18828478874526e-06
390.9999600940486587.9811902684315e-053.99059513421575e-05
400.999895133820350.000209732359298990.000104866179649495
410.9998089448519180.00038211029616380.0001910551480819


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level341NOK
5% type I error level341NOK
10% type I error level341NOK