Multiple Linear Regression - Estimated Regression Equation
Wealth[t] = -191286.673295896 + 285064.424055682Group[t] + 26.8409962495057Costs[t] -265.782661298832Trades[t] + 4.28215324408698Dividends[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-191286.673295896136841.296711-1.39790.1654070.082703
Group285064.424055682119021.4239512.39510.0185790.009289
Costs26.84099624950573.8338437.001100
Trades-265.782661298832433.703931-0.61280.5414590.27073
Dividends4.282153244086981.0993943.8950.0001839.1e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.761489545827322
R-squared0.579866328404301
Adjusted R-squared0.562176489600272
F-TEST (value)32.7796276058897
F-TEST (DF numerator)4
F-TEST (DF denominator)95
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation579091.205622821
Sum Squared Residuals31857929320820.8


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162829295082235.615303731200693.38469627
243240471161383.011000493162663.98899951
341082722977995.826216781130276.17378322
4-12126171815519.50263203-3028136.50263203
514853292025022.68714031-539693.687140308
617798761869869.12981448-89993.1298144844
713672031333888.9084695133314.0915304871
825190762149148.56278612369927.437213880
99126841244504.50974265-331820.509742647
101443586706408.65846467737177.34153533
1112200171522916.85425205-302899.854252051
12984885325423.224189772659461.775810228
131457425506446.919100573950978.080899427
14-5729201051955.18111971-1624875.18111971
159291441028235.67194084-99091.6719408383
161151176604775.557891148546400.442108852
177900901204919.53325630-414829.533256305
187744971008605.06519791-234108.065197908
199905761199229.68024933-208653.680249333
20454195713946.621318701-259751.621318701
21876607763352.971471928113254.028528072
227119691012531.56449353-300562.564493532
23702380848188.516524647-145808.516524647
24264449663210.453064015-398761.453064015
25450033546540.341465184-96507.3414651838
26541063489799.25982918151263.7401708187
275888641044186.05504365-455322.05504365
28-37216211517.809744680-248733.809744680
29783310166601.329657602616708.670342398
30467359313200.902198544154158.097801456
31688779549999.911515869138779.088484131
32608419842812.086412095-234393.086412095
33696348604783.79571045491564.2042895462
34597793639380.89107302-41587.8910730192
358217301154250.28897315-332520.288973151
36377934703859.531448381-325925.531448381
37651939441014.360696048210924.639303952
38697458697116.661617115341.338382885078
39700368957482.661491773-257114.661491773
40225986221123.8120461294862.1879538707
41348695348153.324464841541.675535159316
42373683573710.487001295-200027.487001295
43501709271815.031260625229893.968739375
44413743468415.599750683-54672.599750683
45379825212604.3685541167220.6314459
46336260621338.069210161-285078.069210161
476367651022505.70612255-385740.706122549
48481231795845.820561051-314614.820561051
49469107440015.42929291429091.5707070861
50211928188416.68862309123511.3113769090
51563925612765.844254289-48840.8442542888
52511939742359.175020328-230420.175020328
535210161067532.53205851-546516.53205851
54543856707277.968113737-163421.968113737
55329304847428.906054742-518124.906054742
56423262109622.880835187313639.119164813
57509665122527.752535341387137.247464659
58455881310965.144485786144915.855514214
59367772240792.406226713126979.593773287
60406339691621.228432584-285282.228432584
61493408634698.679153068-141290.679153068
6223294297951.8044467842134990.195553216
63416002573930.178184297-157928.178184297
64337430620804.057912187-283374.057912187
65361517112235.999435205249281.000564795
66360962301684.56675598659277.433244014
67235561158624.92921058776936.0707894134
68408247564822.51024213-156575.510242130
69450296383410.13995301866885.8600469817
70418799614730.927592323-195931.927592323
71247405277124.438145097-29719.4381450967
72378519100260.016597592278258.983402408
73326638295784.13134722330853.8686527769
74328233160170.149309479168062.850690521
75386225361488.56096172324736.4390382773
76283662456170.547960335-172508.547960335
77370225314838.79334493355386.206655067
78269236135969.451591452133266.548408548
79365732109433.00563201256298.99436799
80420383570938.139907145-150555.139907145
8134581199977.8214655644245833.178534436
82431809584013.681245498-152204.681245498
83418876411639.9808860517236.01911394867
84297476-4541.86795523082302017.867955231
85416776258407.050855702158368.949144298
86357257502501.592045361-145244.592045361
87458343270126.642290883188216.357709117
88388386264659.158675936123726.841324064
89358934304567.12701404854366.8729859519
90407560263547.689313455144012.310686545
91392558257765.486437581134792.513562419
92373177517038.10998087-143861.109980870
93428370115188.579036879313181.420963121
94369419792644.347867473-423225.347867473
953586498152.11365182494350496.886348175
96376641422335.226362685-45694.2263626851
97467427297749.722209187169677.277790813
98364885379644.59580242-14759.5958024197
99436230428965.8457247427264.15427525829
100329118441518.781983859-112400.781983859


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9999999999984183.1645702196305e-121.58228510981525e-12
912.36435079898823e-191.18217539949411e-19
1011.05113266549439e-205.25566332747197e-21
1111.04818315386112e-205.24091576930562e-21
1213.32324264361246e-241.66162132180623e-24
1311.31715937173074e-276.58579685865371e-28
1419.08570979688364e-364.54285489844182e-36
1512.11898839197200e-371.05949419598600e-37
1615.21421389494501e-412.60710694747250e-41
1711.41045377311976e-407.05226886559882e-41
1818.7186085688568e-414.3593042844284e-41
1917.89986124836895e-413.94993062418448e-41
2015.79159243840955e-402.89579621920477e-40
2116.97662388197713e-413.48831194098856e-41
2211.61949913869317e-408.09749569346587e-41
2318.91735065134776e-404.45867532567388e-40
2411.34505148480314e-396.7252574240157e-40
2511.01293590469622e-385.06467952348111e-39
2613.39284412051721e-381.69642206025860e-38
2711.04364273708496e-375.21821368542481e-38
2811.58269665158338e-397.91348325791692e-40
2911.11211486706492e-425.56057433532462e-43
3014.24902649237626e-422.12451324618813e-42
3111.07868208352872e-425.39341041764361e-43
3213.42402082412782e-421.71201041206391e-42
3313.59803350497438e-431.79901675248719e-43
3415.61612281627169e-432.80806140813584e-43
3512.79448873341134e-421.39724436670567e-42
3611.25018769993058e-416.25093849965291e-42
3712.38035206535222e-421.19017603267611e-42
3811.07853972957077e-435.39269864785383e-44
3916.48048062700721e-443.24024031350360e-44
4011.04125383161291e-435.20626915806456e-44
4117.91340835382049e-433.95670417691024e-43
4216.64003025379098e-423.32001512689549e-42
4311.8860886243338e-419.430443121669e-42
4412.10387129360014e-401.05193564680007e-40
4512.08755675271351e-391.04377837635676e-39
4611.01186543311014e-385.05932716555072e-39
4712.68308654922045e-381.34154327461023e-38
4812.18542102607907e-371.09271051303953e-37
4912.14528088423108e-361.07264044211554e-36
5011.73432395562127e-368.67161977810637e-37
5119.74703370610281e-374.87351685305140e-37
5214.35336278505796e-362.17668139252898e-36
5313.50711547270463e-351.75355773635231e-35
5412.19231275847791e-351.09615637923896e-35
5514.31422468234738e-352.15711234117369e-35
5612.23282309408219e-341.11641154704110e-34
5714.95950960621056e-352.47975480310528e-35
5813.6504039905664e-341.8252019952832e-34
5915.05414092112506e-332.52707046056253e-33
6016.56416632167164e-323.28208316083582e-32
6111.80763792116053e-319.03818960580265e-32
6212.77939645489286e-311.38969822744643e-31
6313.06657190517476e-301.53328595258738e-30
6412.68778857857251e-291.34389428928625e-29
6513.49727890136217e-281.74863945068109e-28
6611.55361707575962e-277.76808537879808e-28
6713.41308770417749e-281.70654385208875e-28
6813.55956774590701e-271.77978387295351e-27
6915.4767360026223e-262.73836800131115e-26
7016.11732437960281e-253.05866218980141e-25
7113.87907224319380e-241.93953612159690e-24
7215.62334656819256e-232.81167328409628e-23
7312.80573683584832e-221.40286841792416e-22
7413.3915842844131e-211.69579214220655e-21
7514.43824921330119e-202.21912460665059e-20
7612.82492196198215e-191.41246098099107e-19
7712.95943265775402e-181.47971632887701e-18
7811.43630831613879e-187.18154158069395e-19
7912.01252677927244e-171.00626338963622e-17
8013.50172108077631e-161.75086054038816e-16
810.9999999999999984.67594783510287e-152.33797391755143e-15
820.9999999999999862.84176358588887e-141.42088179294443e-14
830.9999999999997884.23528052907799e-132.11764026453900e-13
840.999999999999451.09910415396630e-125.49552076983148e-13
850.9999999999896642.06729176226892e-111.03364588113446e-11
860.9999999998116673.76665188122917e-101.88332594061458e-10
870.9999999986970942.60581208301199e-091.30290604150599e-09
880.9999999813616233.72767532024662e-081.86383766012331e-08
890.9999999284688221.43062356055788e-077.15311780278942e-08
900.999998768835452.46232910008815e-061.23116455004408e-06
910.9999845694581533.08610836936538e-051.54305418468269e-05
920.9997111949782230.0005776100435544350.000288805021777217


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level851NOK
5% type I error level851NOK
10% type I error level851NOK