Multiple Linear Regression - Estimated Regression Equation
Wealth [t] = + 247163.774713791 + 182388.039739411Group[t] -3.39043253775906Costs[t] + 36.6057608257932GrCosts[t] -950.85757753505Trades[t] -64.810941789383GrTrades[t] + 2.25602153340068Dividends[t] -2.69385322781055GrDiv[t] + 0.00881423353788577TrDiv[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)247163.774713791137801.6183371.79360.0761950.038098
Group182388.039739411221247.3379630.82440.4118890.205945
Costs-3.390432537759065.733373-0.59140.5557520.277876
GrCosts36.60576082579328.4269134.34393.6e-051.8e-05
Trades-950.85757753505678.173243-1.40210.1642910.082146
GrTrades-64.810941789383760.588311-0.08520.932280.46614
Dividends2.256021533400681.1922541.89220.0616390.03082
GrDiv-2.693853227810551.791254-1.50390.1360720.068036
TrDiv0.008814233537885770.0051711.70460.0916830.045841


Multiple Linear Regression - Regression Statistics
Multiple R0.883583221714003
R-squared0.780719309694496
Adjusted R-squared0.761441886370936
F-TEST (value)40.4991526404001
F-TEST (DF numerator)8
F-TEST (DF denominator)91
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation427459.059792451
Sum Squared Residuals16627633549676.8


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162829296668283.27600436-385354.276004363
243240471292095.13853663031951.8614634
341082723423750.59518775684521.404812246
4-1212617-792699.586993038-419917.413006962
514853292220387.57414349-735058.574143487
617798761834549.02184801-54673.0218480117
71367203491194.087620221876008.912379779
825190762072610.9244115446465.075588504
99126841437181.19180886-524497.19180886
101443586884428.390876597559157.609123403
111220017853091.81994112366925.180058879
12984885254474.845466408730410.154533592
131457425782294.365208152675130.634791848
14-5729209361.33731705335-582281.337317053
159291441115287.29163792-186143.291637919
161151176605939.853080184545236.146919816
177900901046347.72004485-256257.720044852
187744971066848.57901812-292351.579018115
199905761492687.67238556-502111.672385556
20454195513087.047150444-58892.0471504442
21876607790402.79749250586204.2025074948
227119691110078.84310292-398109.843102923
23702380627311.48145890475068.5185410956
24264449476959.435172096-212510.435172097
25450033549507.931961064-99474.9319610641
26541063312690.30252114228372.69747886
275888641168549.79141259-579685.791412595
28-37216191559.340355319-228775.340355319
29783310265995.360832435517314.639167565
30467359126148.077530972341210.922469028
31688779496364.896061125192414.103938875
32608419768833.225647468-160414.225647468
33696348600718.93628159895629.0637184024
34597793529278.06641409168514.9335859086
35821730957789.940045404-136059.940045404
36377934407448.627350862-29514.6273508621
37651939396501.548836458255437.451163542
38697458555576.942837637141881.057162363
39700368477441.4764121222926.5235879
40225986377527.906948903-151541.906948903
41348695657301.41763294-308606.41763294
42373683412097.300756584-38414.3007565844
43501709415440.97713486986268.0228651315
44413743497926.614740086-84183.6147400862
45379825366338.05813961813486.9418603824
46336260503476.843435158-167216.843435158
47636765401224.362724376235540.637275624
48481231680094.699529944-198863.699529944
49469107515998.407332378-46891.4073323785
50211928402631.858160142-190703.858160142
51563925480391.77466558783533.2253344132
52511939534212.982242691-22273.9822426913
53521016663477.649756072-142461.649756072
54543856447444.37686947396411.6231305271
55329304573325.200339855-244021.200339855
56423262337701.56066491385560.4393350871
57509665343483.569498871166181.430501129
58455881415125.55169834140755.4483016589
59367772459344.997451247-91572.9974512465
60406339676317.531696804-269978.531696804
61493408564435.435698779-71027.435698779
62232942362153.004065139-129211.004065139
63416002485638.891828707-69636.8918287074
64337430612211.047248021-274781.047248021
65361517337215.22192245124301.7780775493
66360962264837.27928038596124.7207196148
67235561408779.163938133-173218.163938133
68408247446857.123709099-38610.123709099
69450296557390.288053113-107094.288053113
70418799511399.862643932-92600.8626439321
71247405473789.568911471-226384.568911471
72378519288149.79818740490369.201812596
73326638483149.487671292-156511.487671292
74328233421381.910577223-93148.9105772232
75386225512060.322552804-125835.322552804
76283662432645.735436413-148983.735436413
77370225505506.252056535-135281.252056535
78269236398562.658617034-129326.658617034
79365732359925.0660385175806.93396148327
80420383404043.27898213516339.7210178654
81345811369314.635275403-23503.635275403
82431809526995.841704156-95186.841704156
83418876573885.175344989-155009.175344989
84297476322970.131564323-25494.1315643225
85416776476489.672847631-59713.672847631
86357257558127.122933435-200870.122933435
87458343425095.85328438133247.1467156188
88388386479385.521730625-90999.5217306248
89358934479849.515661453-120915.515661453
90407560477950.488095989-70390.4880959893
91392558450294.897808363-57736.8978083634
92373177479523.629843297-106346.629843297
93428370344349.23918790184020.760812099
94369419598703.273244021-229284.273244021
95358649297517.10513374461131.8948662557
96376641483807.188451235-107166.188451235
97467427501521.584158756-34094.5841587563
98364885367173.539177131-2288.53917713132
99436230536386.337095619-100156.337095619
100329118439357.042199252-110239.042199252


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
1211.033657681491e-235.16828840745502e-24
1314.3972153837629e-262.19860769188145e-26
1411.14351310777588e-295.71756553887939e-30
1517.55585737875157e-303.77792868937579e-30
1616.45088662103196e-333.22544331051598e-33
1711.01687698584084e-325.08438492920419e-33
1812.8910190717638e-321.4455095358819e-32
1919.96091331591423e-334.98045665795712e-33
2012.21708387372196e-321.10854193686098e-32
2112.95603756716165e-331.47801878358082e-33
2213.07178350391206e-331.53589175195603e-33
2311.23962362898117e-326.19811814490587e-33
2411.47432999889922e-327.37164999449612e-33
2519.69560999776474e-324.84780499888237e-32
2615.56186515366276e-312.78093257683138e-31
2711.08992633539166e-305.4496316769583e-31
2811.64417159640369e-328.22085798201845e-33
2915.49411826016316e-352.74705913008158e-35
3013.9207006321905e-341.96035031609525e-34
3111.04433453769427e-345.22167268847135e-35
3214.47171203669753e-342.23585601834877e-34
3313.6829001116371e-351.84145005581855e-35
3415.39627209937767e-352.69813604968883e-35
3511.52261367231594e-347.61306836157972e-35
3613.57016930648555e-341.78508465324277e-34
3711.5098303432711e-347.5491517163555e-35
3815.16597444015038e-362.58298722007519e-36
3911.10887279251252e-355.5443639625626e-36
4019.07230047384484e-364.53615023692242e-36
4115.308462535336e-352.654231267668e-35
4215.99577336897223e-352.99788668448612e-35
4311.31534214308981e-346.57671071544907e-35
4417.24078225651604e-343.62039112825802e-34
4515.8620444786847e-332.93102223934235e-33
4612.81251957565651e-321.40625978782826e-32
4712.63554178373817e-311.31777089186909e-31
4811.52315364653016e-307.61576823265078e-31
4911.41383771932465e-297.06918859662327e-30
5014.12353287172088e-302.06176643586044e-30
5113.23042533210758e-301.61521266605379e-30
5211.45070112321546e-297.25350561607732e-30
5311.34994596238924e-286.74972981194619e-29
5417.7554826760849e-293.87774133804245e-29
5512.83482196046456e-281.41741098023228e-28
5611.50735635390603e-277.53678176953016e-28
5719.28989839455574e-284.64494919727787e-28
5811.02446898464703e-265.12234492323514e-27
5911.07064862165868e-255.35324310829339e-26
6019.61111456941666e-254.80555728470833e-25
6111.42894806349323e-247.14474031746614e-25
6211.79838275935356e-248.9919137967678e-25
6311.59668195237578e-237.98340976187892e-24
6411.3209383008275e-226.6046915041375e-23
6511.47852263776773e-217.39261318883865e-22
6611.29321775300035e-206.46608876500176e-21
6714.55722500861092e-212.27861250430546e-21
6814.83998474363256e-202.41999237181628e-20
6913.41717761150813e-191.70858880575407e-19
7013.24169005790796e-181.62084502895398e-18
7111.93373648727021e-179.66868243635106e-18
7212.13871301685578e-161.06935650842789e-16
7317.48174894060719e-163.7408744703036e-16
740.9999999999999967.17712292687307e-153.58856146343654e-15
750.9999999999999725.53706665309456e-142.76853332654728e-14
760.99999999999991.98098966807513e-139.90494834037564e-14
770.999999999999131.73864928834232e-128.6932464417116e-13
780.9999999999991541.69161443940564e-128.4580721970282e-13
790.999999999991461.70789230599243e-118.53946152996215e-12
800.9999999999905161.89670228256507e-119.48351141282535e-12
810.9999999998594992.81003098029131e-101.40501549014565e-10
820.999999999602417.95178013079966e-103.97589006539983e-10
830.9999999944856621.10286763175754e-085.5143381587877e-09
840.9999999174703571.65059286855986e-078.2529643427993e-08
850.9999988987082142.20258357117191e-061.10129178558596e-06
860.9999919695432361.60609135289339e-058.03045676446694e-06
870.9999911210895431.77578209139569e-058.87891045697844e-06
880.9999348066234050.0001303867531897496.51933765948747e-05


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level771NOK
5% type I error level771NOK
10% type I error level771NOK