Multiple Linear Regression - Estimated Regression Equation
Wealth[t] = -51843.9526262499 + 19.7292480567881Costs[t] + 3247.59353619237Orders[t] + 2.14055513624031Dividends[t] + 6.25156768943924`Profit/Trades`[t] -5.77246339770221`Profit/Cost`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-51843.952626249998846.605805-0.52450.6014070.300704
Costs19.72924805678813.973594.96514e-062e-06
Orders3247.59353619237685.4826964.73779e-065e-06
Dividends2.140555136240311.0061732.12740.0365040.018252
`Profit/Trades`6.251567689439243.015482.07320.0414170.020709
`Profit/Cost`-5.7724633977022130.374536-0.190.8497630.424882


Multiple Linear Regression - Regression Statistics
Multiple R0.923991244554472
R-squared0.853759820013322
Adjusted R-squared0.844504112419228
F-TEST (value)92.2414425190076
F-TEST (DF numerator)5
F-TEST (DF denominator)79
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation362485.57554555
Sum Squared Residuals10380267605808.5


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162829296267226.4979682515702.5020317534
243240472235485.471314212088561.52868579
341082723394473.88365963713798.116340369
414853292338269.22992978-852940.229929776
517798761728014.6160689151861.3839310949
625190762099827.16518419248.834820002
79126841571620.26467589-658936.26467589
81443586861431.619722117582154.380277883
914574251608688.05748566-151263.057485659
109291441538184.15731031-609040.15731031
117744971438652.05598262-664155.055982624
129905761550755.04087773-560179.040877733
13876607652973.404980854223633.595019146
14711969815087.902242814-103118.902242814
155888641359862.39138866-770998.391388663
16688779393924.600642096294854.399357904
17608419665645.051391097-57226.0513910974
18696348451222.938633999245125.061366001
19597793442566.453095411155226.546904589
20697458591856.056043921105601.943956079
21700368713251.032954509-12883.0329545092
22336260351337.192449218-15077.1924492184
23636765588578.82302377448186.1769762262
24481231878285.579391843-397054.579391843
25563925554569.0062099479355.99379005269
26511939772734.543375396-260795.543375396
27521016828387.399756952-307371.399756952
28543856499633.83904595544222.1609540448
29329304750460.760119346-421156.760119346
30406339607986.34262553-201647.34262553
31493408438290.51127109255117.4887289076
32416002332904.86251628783097.1374837126
33337430519390.022123477-181960.022123477
34408247370494.66832209937752.3316779009
35418799539860.047624924-121061.047624924
36247405230880.23424145216524.7657585484
37283662225282.01630931158379.9836906893
38420383261967.121270628158415.878729372
39431809459404.8879643-27595.8879643005
40357257432290.204029609-75033.2040296091
41373177339765.8303803733411.1696196303
42369419456857.497180685-87438.4971806855
43376641260165.368757228116475.631242772
44364885202265.161271942162619.838728058
45329118234247.58933532294870.410664678
46317365258336.22961046759028.7703895333
47153661290348.227959363-136687.227959363
48513294347050.41947074166243.58052926
49264512218399.20275993846112.7972400621
50129302216648.662318246-87346.6623182457
51268673226606.20019904542066.7998009548
52353179223958.382230196129220.617769804
53211742197765.36131554213976.6386844581
54485538352911.279961908132626.720038092
55279268203489.87035642675778.1296435741
56219060255309.333730768-36249.3337307681
57325806855783.040699587-529977.040699587
58349729239684.205841234110044.794158766
59305442220070.62025720885371.3797427918
60329537228308.74138653101228.25861347
61327055181276.406672442145778.593327558
62356245193040.487166975163204.512833025
63404480497618.38912923-93138.3891292297
64318314226048.65166246492265.3483375364
65311807122588.084774973189218.915225027
66337724233020.967691249104703.032308751
67326431418636.660181122-92205.6601811217
68327556284118.01436066743437.985639333
69356850188718.506292663168131.493707337
70321024194864.426163936126159.573836064
71355822156032.257272854199789.742727146
72324047261659.12509624262387.8749037582
73328576209291.4544658119284.5455342
74332013219368.287137922112644.712862078
75319634324993.19938525-5359.19938525022
76279230265096.61908161514133.3809183849
775326821028447.69601692-495765.696016921
78171493166986.5296550074506.47034499305
79302211220081.63708863182129.3629113688
80286146282977.5829736313168.41702636893
81306844181291.451859568125552.548140432
82307705298631.4401454389073.55985456208
83299446204888.78550700194557.214492999
84-78375340572.859397513-418947.859397513
85235098438512.302578535-203414.302578535


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.9999520704939829.5859012036465e-054.79295060182325e-05
100.9999457408002990.000108518399402215.42591997011051e-05
110.999874281717790.0002514365644187480.000125718282209374
120.9998863429879030.0002273140241948750.000113657012097438
130.9999719713104015.60573791979386e-052.80286895989693e-05
140.9999941755953941.16488092113403e-055.82440460567014e-06
150.999993843225571.23135488589638e-056.15677442948188e-06
1611.71201097727476e-198.5600548863738e-20
1715.65087461543498e-202.82543730771749e-20
1811.70912462204404e-228.54562311022019e-23
1914.0463030590122e-232.0231515295061e-23
2012.0964684362509e-251.04823421812545e-25
2115.5237360166608e-252.7618680083304e-25
2211.76252791852425e-248.81263959262126e-25
2313.50272226630326e-251.75136113315163e-25
2412.2211104661777e-241.11055523308885e-24
2511.54972275234054e-257.7486137617027e-26
2618.828740328167e-254.4143701640835e-25
2714.0952804144437e-242.04764020722185e-24
2814.76215559591186e-252.38107779795593e-25
2911.37462386351657e-266.87311931758283e-27
3012.19296181165224e-261.09648090582612e-26
3116.43972121349973e-273.21986060674986e-27
3212.5877901644983e-261.29389508224915e-26
3318.59855689561831e-264.29927844780916e-26
3413.8835645151734e-251.9417822575867e-25
3512.21129173327592e-241.10564586663796e-24
3612.9863965376057e-241.49319826880285e-24
3711.06547903053862e-235.32739515269312e-24
3812.53735404758405e-231.26867702379202e-23
3914.21186914661241e-232.1059345733062e-23
4013.09224241867536e-231.54612120933768e-23
4111.47840942510266e-227.39204712551329e-23
4218.25043819783678e-224.12521909891839e-22
4315.6571611601275e-222.82858058006375e-22
4411.4729799630954e-217.36489981547702e-22
4518.49761739107581e-214.2488086955379e-21
4615.29181360953162e-202.64590680476581e-20
4714.23565611120482e-202.11782805560241e-20
4813.87406416362939e-211.9370320818147e-21
4911.64774265202473e-208.23871326012367e-21
5011.03913295180695e-205.19566475903474e-21
5116.45328444745121e-203.22664222372561e-20
5211.21076067896913e-196.05380339484564e-20
5313.80963520432642e-201.90481760216321e-20
5412.82310574775931e-201.41155287387965e-20
5512.6080679281463e-191.30403396407315e-19
5612.86253116341317e-191.43126558170658e-19
5717.78986687239409e-203.89493343619704e-20
5818.90231388877267e-194.45115694438634e-19
5914.81044685234348e-182.40522342617174e-18
6015.03468250475543e-172.51734125237772e-17
6115.54673918689674e-162.77336959344837e-16
620.9999999999999984.03265527231981e-152.01632763615991e-15
630.9999999999999784.45823664676965e-142.22911832338483e-14
640.9999999999998842.32895594878605e-131.16447797439303e-13
650.9999999999987762.44865518298563e-121.22432759149281e-12
660.9999999999938391.23221530799729e-116.16107653998644e-12
670.999999999933441.33118376594874e-106.65591882974368e-11
680.9999999993161811.36763742612205e-096.83818713061026e-10
690.9999999992731751.45364913061697e-097.26824565308485e-10
700.9999999914800311.70399378603937e-088.51996893019683e-09
710.9999999646836177.06327664868426e-083.53163832434213e-08
720.9999995739052658.52189470219706e-074.26094735109853e-07
730.9999953103594189.37928116399244e-064.68964058199622e-06
740.9999534479091689.31041816634891e-054.65520908317445e-05
750.9997067120438230.00058657591235360.0002932879561768
760.9990490451968580.001901909606284460.000950954803142228


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level681NOK
5% type I error level681NOK
10% type I error level681NOK