Multiple Linear Regression - Estimated Regression Equation
Wealth [t] = + 715947.084583941 + 21.495781857674Costs[t] -3855.32416995473Trades[t] -1.17140535691399Dividends[t] + 0.0299110528431907TrDiv[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)715947.084583941312229.4559632.2930.0266840.013342
Costs21.4957818576745.7292453.75190.000510.000255
Trades-3855.324169954731100.628291-3.50280.001070.000535
Dividends-1.171405356913992.1403-0.54730.5869320.293466
TrDiv0.02991105284319070.0069014.33458.4e-054.2e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.812965176413633
R-squared0.66091237806125
Adjusted R-squared0.630086230612272
F-TEST (value)21.4399927579395
F-TEST (DF numerator)4
F-TEST (DF denominator)44
p-value7.21631754352359e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation721742.058513831
Sum Squared Residuals22920110357222.4


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162829296683887.45004589-400958.450045888
24324047824961.7066584653499085.29334154
341082722751406.92936531356865.07063470
4-1212617-156412.514936801-1056204.4850632
514853291724757.74742663-239428.747426634
617798761580386.41283274199489.587167257
713672031451258.52244419-84055.5224441936
825190762373771.46159587145304.538404128
9912684530253.029575272382430.970424728
101443586745447.591444877698138.408555123
1112200171384808.97951899-164791.979518985
12984885666151.722151661318733.277848339
131457425171528.3773227391285896.62267726
14-572920902912.652251892-1475832.65225189
15929144632773.413245609296370.586754391
161151176748255.658595311402920.341404689
177900901050789.34519181-260699.345191809
18774497810840.98934077-36343.9893407696
19990576804647.361222844185928.638777156
20454195887636.107061598-433441.107061598
21876607732979.46088039143627.539119610
22711969979123.626249426-267154.626249426
23702380920307.921818147-217927.921818147
24264449817233.378242163-552784.378242163
25450033728682.238716216-278649.238716216
26541063856780.969297827-315717.969297827
27588864758443.660342362-169579.660342362
28-37216545587.195872171-582803.195872171
29783310755394.79540176827915.2045982317
30467359114005.899149518353353.100850482
31688779651314.59834196237464.4016580384
32608419787787.72105513-179368.721055130
33696348700271.842610513-3923.84261051299
34597793654225.690650008-56432.6906500078
35821730523984.615395247297745.384604753
36377934871871.424980693-493937.424980693
37651939724438.202882798-72499.2028827978
38697458659119.9032226738338.0967773304
39700368690730.4921934179637.50780658263
40225986497026.724075425-271040.724075425
41348695716776.189750495-368081.189750495
42373683838648.276578457-464965.276578457
43501709466174.31303228735534.6869677131
44413743690219.442438361-276476.442438361
45379825623640.588627346-243815.588627346
46336260655776.642924459-319516.642924459
47636765559996.4119726276768.58802738
48481231794494.4236033-313263.423603300
49469107660960.407339162-191853.407339162


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9999995448315419.10336917402721e-074.55168458701361e-07
90.999998961315062.07736987972554e-061.03868493986277e-06
100.9999999815728593.68542826753797e-081.84271413376898e-08
110.9999999750325494.99349022652152e-082.49674511326076e-08
120.999999981105263.77894789084448e-081.88947394542224e-08
130.9999999968621176.27576503541607e-093.13788251770803e-09
140.9999999999998612.77044379890532e-131.38522189945266e-13
150.9999999999997435.14462394796567e-132.57231197398284e-13
160.9999999999999431.12926633765013e-135.64633168825065e-14
170.9999999999997025.95001089092457e-132.97500544546228e-13
180.999999999999291.41925707076958e-127.09628535384791e-13
190.9999999999991331.73471916365727e-128.67359581828634e-13
200.9999999999969376.12646718667591e-123.06323359333795e-12
210.9999999999972255.55083032034328e-122.77541516017164e-12
220.99999999999171.66015590504748e-118.3007795252374e-12
230.9999999999609557.80905564356612e-113.90452782178306e-11
240.9999999999211381.57724225776189e-107.88621128880944e-11
250.9999999996720576.55886441583376e-103.27943220791688e-10
260.9999999985283582.94328424053372e-091.47164212026686e-09
270.9999999949017551.01964909135522e-085.09824545677611e-09
280.9999999991368311.72633764939764e-098.63168824698822e-10
290.9999999993118351.37633034144963e-096.88165170724813e-10
300.9999999973753625.24927665137684e-092.62463832568842e-09
310.9999999906641331.86717342542710e-089.33586712713552e-09
320.9999999547890019.04219969326104e-084.52109984663052e-08
330.9999999243601871.51279626529823e-077.56398132649113e-08
340.9999996536209436.927581144794e-073.463790572397e-07
350.999997779382914.4412341817148e-062.2206170908574e-06
360.99998960518012.07896398017451e-051.03948199008725e-05
370.9999820217175673.59565648659548e-051.79782824329774e-05
380.9999897587991792.04824016423153e-051.02412008211576e-05
390.999940127135880.0001197457282415375.98728641207684e-05
400.9999371311879740.0001257376240519926.2868812025996e-05
410.9998271608054530.0003456783890947850.000172839194547393


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