Multiple Linear Regression - Estimated Regression Equation
Wealth[t] = + 169088.919201667 + 44386.189096122Group[t] -7.97639691845783Costs[t] + 44.9817209607593GrCosts[t] + 20.8889825495510Trades[t] -124.124022764451GrTrades[t] + 3.24416126930998Dividends[t] -1.98194712090063GrDiv[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)169088.919201667131306.0334971.28770.2010640.100532
Group44386.189096122208024.5024830.21340.831510.415755
Costs-7.976396918457835.115122-1.55940.1223410.06117
GrCosts44.98172096075936.9165416.503500
Trades20.8889825495510371.1155350.05630.9552350.477618
GrTrades-124.124022764451767.620535-0.16170.8718970.435948
Dividends3.244161269309981.0525723.08210.0027120.001356
GrDiv-1.981947120900631.759834-1.12620.2630050.131502


Multiple Linear Regression - Regression Statistics
Multiple R0.879612234896614
R-squared0.773717683779815
Adjusted R-squared0.756500551023932
F-TEST (value)44.9388231333357
F-TEST (DF numerator)7
F-TEST (DF denominator)92
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation431863.421873433
Sum Squared Residuals17158553394005.2


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162829296386316.03972655-103387.039726548
243240471387171.548364542936875.45163546
341082723599378.26289088508893.737109118
4-1212617-578903.183266423-633713.816733577
514853292365546.83185312-880217.831853115
617798761973493.16237177-193617.162371775
71367203272149.7909018571095053.20909814
825190762042288.80087328476787.199126724
99126841638359.92865464-725675.928654639
101443586864840.69385146578745.30614854
111220017762051.642825089457965.357174911
12984885226038.594905255758846.405094745
131457425853257.454790668604167.545209332
14-572920-67256.0691685112-505663.930831489
159291441190037.97917522-260893.979175218
161151176610148.956165508541027.043834492
177900901049419.89602645-259329.896026451
187744971076160.70648901-301663.706489011
199905761626979.70714124-636403.707141244
20454195433258.88717592820936.1128240724
21876607785746.00015365490860.999846346
227119691131858.20204154-419889.202041545
23702380601990.539898081100389.460101919
24264449423689.744508243-159240.744508243
25450033549091.376593148-99058.3765931484
26541063251308.076357372289754.923642628
275888641245967.25845008-657103.25845008
28-37216182271.458702259-219487.458702259
29783310205878.222469817577431.777530183
30467359223386.252329554243972.747670446
31688779445271.311259793243507.688740207
32608419776003.384665646-167584.384665646
33696348555604.605625711140743.394374289
34597793504552.31943731893240.680562682
358217301130507.00577152-308777.005771524
36377934356188.70384334521745.296156655
37651939375975.638388432275963.361611568
38697458544543.539900742152914.460099258
39700368534902.036434504165465.963565496
40225986398558.90854616-172572.908546160
41348695540842.734605645-192147.734605645
42373683373835.800312194-152.800312193984
43501709442054.64603708259654.3539629178
44413743497746.224305792-84003.224305792
45379825357832.22040532521992.779594675
46336260474661.218654044-138401.218654044
47636765523384.640967973113380.359032027
48481231630284.586576875-149053.586576875
49469107527279.41439274-58172.4143927402
50211928399423.818523135-187495.818523135
51563925455700.324086413108224.675913587
52511939521656.663466601-9717.66346660082
53521016709585.037173761-188569.037173761
54543856423270.973170767120585.026829233
55329304567207.604686967-237903.604686967
56423262351122.22580499872139.7741950017
57509665302724.90430399206940.09569601
58455881412204.19074477243676.8092552283
59367772483832.730816631-116060.730816631
60406339658538.525218427-252199.525218427
61493408533653.905676261-40245.905676261
62232942353402.03877954-120460.03877954
63416002444989.552020461-28987.5520204609
64337430579609.322119898-242179.322119898
65361517340862.95269707420654.0473029265
66360962377823.521245926-16861.5212459258
67235561425714.507730913-190153.507730913
68408247410730.912850956-2483.91285095649
69450296585055.543336288-134759.543336288
70418799482885.739045836-64086.7390458364
71247405354665.000350160-107260.000350160
72378519255930.115313601122588.884686399
73326638505137.097888236-178499.097888236
74328233422113.100354128-93880.100354128
75386225539735.785533787-153510.785533787
76283662357285.808174515-73623.8081745145
77370225534324.488256184-164099.488256184
78269236403642.860295325-134406.860295325
79365732386678.804676956-20946.8046769559
80420383369243.38169207651139.6183079244
81345811356460.047525544-10649.0475255444
82431809490224.10695931-58415.1069593097
83418876614178.381228799-195302.381228799
84297476291522.0240923425953.97590765828
85416776498558.852313691-81782.8523136906
86357257497759.864530765-140502.864530765
87458343434659.81861436223683.1813856377
88388386502337.116178859-113951.116178859
89358934499546.634035402-140612.634035402
90407560500063.927333786-92503.9273337863
91392558464197.229504247-71639.2295042473
92373177423012.511795306-49835.5117953057
93428370359492.05381601668877.9461839836
94369419607675.859824658-238256.859824658
95358649276705.14959082581943.850409175
96376641398131.882316998-21490.8823169976
97467427533660.453725924-66233.453725924
98364885333947.33632301530937.663676985
99436230571292.142706832-135062.142706832
100329118355938.468166609-26820.4681666091


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
1111.19037910383521e-225.95189551917607e-23
1217.09622549790317e-243.54811274895158e-24
1311.75240555565901e-268.76202777829504e-27
1418.64771326849173e-304.32385663424586e-30
1513.48482187955609e-301.74241093977805e-30
1611.54903114429186e-337.74515572145929e-34
1715.02888781240301e-342.51444390620151e-34
1811.79261876268328e-338.9630938134164e-34
1915.7979916699563e-342.89899583497815e-34
2018.3294400783142e-344.1647200391571e-34
2112.12115621522508e-341.06057810761254e-34
2215.13289237992928e-342.56644618996464e-34
2312.20112279983348e-331.10056139991674e-33
2411.92306207037696e-339.61531035188479e-34
2511.11583399949318e-325.57916999746588e-33
2616.1191085554401e-323.05955427772005e-32
2711.28998389172075e-316.44991945860376e-32
2812.08403251733892e-331.04201625866946e-33
2919.7099972021833e-364.85499860109166e-36
3015.2429184785328e-352.6214592392664e-35
3111.71404595742551e-358.57022978712756e-36
3218.16951026725391e-354.08475513362696e-35
3317.53813570213431e-363.76906785106715e-36
3411.15399669668171e-355.76998348340855e-36
3511.42187301601965e-357.10936508009824e-36
3613.08203244106513e-351.54101622053256e-35
3711.41690410036761e-357.08452050183807e-36
3814.30924441872554e-372.15462220936277e-37
3919.50476240058416e-374.75238120029208e-37
4018.3100264884597e-374.15501324422985e-37
4116.09921396510381e-363.04960698255190e-36
4219.23647907619842e-364.61823953809921e-36
4312.29862236800554e-351.14931118400277e-35
4411.10584542388862e-345.52922711944309e-35
4519.33416216275592e-344.66708108137796e-34
4614.84714688174923e-332.42357344087461e-33
4713.13892531342864e-321.56946265671432e-32
4812.87224279829764e-311.43612139914882e-31
4912.59374745085057e-301.29687372542528e-30
5017.22299487690739e-313.61149743845370e-31
5114.0969232599299e-312.04846162996495e-31
5212.25622532240611e-301.12811266120306e-30
5312.07686513849199e-291.03843256924600e-29
5413.24451528472277e-291.62225764236138e-29
5512.63571497776064e-291.31785748888032e-29
5611.14631382803522e-285.73156914017611e-29
5711.20981261721505e-286.04906308607526e-29
5811.35705744747111e-276.78528723735554e-28
5911.42748543821370e-267.13742719106848e-27
6011.40564114929163e-257.02820574645815e-26
6111.98227506457302e-259.91137532286511e-26
6212.15815226642559e-251.07907613321279e-25
6311.75690317262030e-248.78451586310152e-25
6411.47244815175061e-237.36224075875307e-24
6511.65521730335069e-228.27608651675343e-23
6611.45516959849100e-217.27584799245499e-22
6715.47007106774782e-222.73503553387391e-22
6815.20918864829693e-212.60459432414846e-21
6915.41374926448516e-202.70687463224258e-20
7014.57565060986389e-192.28782530493195e-19
7111.86605530399817e-189.33027651999083e-19
7212.13298750365173e-171.06649375182586e-17
7317.3154061652939e-173.65770308264695e-17
7416.99764274483525e-163.49882137241762e-16
750.9999999999999975.49311158792649e-152.74655579396325e-15
760.9999999999999882.44969590945067e-141.22484795472534e-14
770.99999999999991.99749067643547e-139.98745338217737e-14
780.9999999999999161.67848509114937e-138.39242545574683e-14
790.9999999999990221.95548250133224e-129.77741250666118e-13
800.9999999999904031.91940409596353e-119.59702047981763e-12
810.9999999998931682.13663085139701e-101.06831542569851e-10
820.9999999995602468.79507877185377e-104.39753938592689e-10
830.9999999964550117.08997742598527e-093.54498871299263e-09
840.9999999784122694.31754620803546e-082.15877310401773e-08
850.99999972818175.43636601460318e-072.71818300730159e-07
860.999997354878245.29024351957893e-062.64512175978947e-06
870.9999849401925283.01196149437864e-051.50598074718932e-05
880.9998660662680650.0002678674638704750.000133933731935238
890.9996476529299960.000704694140008080.00035234707000404


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level791NOK
5% type I error level791NOK
10% type I error level791NOK