Multiple Linear Regression - Estimated Regression Equation
Wealth[t] = -88821.7832784671 + 28.4192263508631Costs[t] -324.547038190327Trades[t] + 4.432023324069Dividends[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-88821.7832784671133149.674196-0.66710.506320.25316
Costs28.41922635086313.8688367.345700
Trades-324.547038190327443.562453-0.73170.4661450.233072
Dividends4.4320233240691.1243633.94180.0001547.7e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.744645919140252
R-squared0.55449754489223
Adjusted R-squared0.540575593170113
F-TEST (value)39.8290093199577
F-TEST (DF numerator)3
F-TEST (DF denominator)96
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation593204.53405958
Sum Squared Residuals33781595445968.9


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162829295124602.573907631158326.42609237
243240471019895.186052083304151.81394792
341082722929616.049449151178655.95055085
4-12126172013269.33019600-3225886.33019600
514853291930143.46944477-444814.469444769
617798761768950.2898767210925.7101232770
713672031492101.07220845-124898.072208452
825190762049538.24963169469537.750368313
99126841103908.41168577-191224.411685770
101443586550255.989729416893330.010270584
1112200171696189.52310429-476172.523104285
12984885448631.173444984536253.826555016
131457425337976.6581943351119448.34180567
14-5729201213539.61871092-1786459.61871092
15929144869424.86971948659719.1302805138
161151176734179.852456258416996.147543742
177900901355408.90015295-565318.900152948
18774497846489.21239458-71992.2123945796
199905761067070.97597276-76494.9759727618
20454195841028.677497204-386833.677497204
21876607606598.831525736270008.168474264
22711969872197.483212349-160228.483212349
23702380990501.626430696-288121.626430696
24264449791332.298397956-526883.298397956
25450033674199.791293136-224166.791293136
26541063623044.549015327-81981.5490153266
27588864898308.955777911-309444.955777911
28-37216328935.091356921-366151.091356921
29783310285235.233971338498074.766028662
30467359424675.68987697642683.3101230244
31688779384134.85817744304644.141822560
32608419689773.84570314-81354.84570314
33696348442121.544704112254226.455295888
34597793476340.0057936121452.994206400
358217301304137.34055216-482407.340552156
36377934841844.707682225-463910.707682225
37651939567705.11674763684233.8832523637
38697458535035.585857631162422.414142369
39700368802715.040067593-102347.040067593
40225986333449.9175596-107463.9175596
41348695434062.069061489-85367.0690614887
42373683708695.58003287-335012.58003287
43501709382200.125382412119508.874617588
44413743593163.824560216-179420.824560216
45379825329094.78097481550730.2190251847
46336260458349.0398683-122089.039868300
47636765871932.602364987-235167.602364987
48481231626675.123870018-145444.123870018
49469107563551.177529618-94444.177529618
50211928303997.555475467-92069.5554754674
51563925445007.021057619118917.978942381
52511939577690.98147728-65751.98147728
53521016917978.912582567-396962.912582567
54543856538861.7215686514994.2784313485
55329304686366.849765579-357062.849765579
56423262219344.356522514203917.643477486
57509665237924.928107729271740.071892271
58455881431174.8629187924706.1370812102
59367772353907.95798432813864.0420156722
60406339530908.137005598-124569.137005598
61493408472261.06131167121146.9386883287
62232942209636.24618220623305.7538177940
63416002408448.0901800697553.90981993126
64337430457169.267209198-119739.267209198
65361517223125.151709636138391.848290364
66360962383028.424885145-22066.424885145
67235561270238.251459067-34677.2514590669
68408247397398.97366874910848.0263312513
69450296502248.943613902-51952.9436139022
70418799449826.297548700-31027.2975487004
71247405100018.230191678147386.769808322
72378519213775.190088605164743.809911395
73326638414528.343324262-87890.343324262
74328233274745.41994862853487.5800513718
75386225482830.407216473-96605.407216473
76283662286234.988643715-2572.98864371539
77370225433339.215850412-63114.215850412
78269236248278.47375451520957.5262454848
79365732217453.323188823148278.676811177
80420383397006.03512535123376.9648746492
81345811212232.172441151133578.827558849
82431809417904.77218007913904.2278199207
83418876532847.897120853-113971.897120853
84297476104088.544499944193387.455500056
85416776376197.0894580140578.9105419902
86357257334281.81267581122975.1873241892
87458343386813.28308412471529.7169158756
88388386382734.0851865485651.91481345217
89358934422561.600990134-63627.6009901338
90407560381749.35106829025810.6489317105
91392558374652.9033018317905.0966981699
92373177349108.11629971724068.8837002828
93428370224922.236156705203447.763843295
94369419634968.074665044-265549.074665044
95358649116578.057862086242070.942137914
96376641251059.539786421125581.460213579
97467427417108.34548662250318.6545133783
98364885198159.814196427166725.185803573
99436230553688.593639298-117458.593639298
100329118271429.16915633957688.8308436605


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
711.62336210351231e-198.11681051756157e-20
811.89514848719594e-249.47574243597968e-25
911.22906304159547e-236.14531520797737e-24
1013.87458480111444e-261.93729240055722e-26
1113.03956811830951e-281.51978405915476e-28
1211.52051214142206e-287.6025607071103e-29
1313.18822294155307e-331.59411147077654e-33
1411.15052452018687e-435.75262260093435e-44
1516.93226009983493e-443.46613004991747e-44
1611.22030625960227e-466.10153129801135e-47
1714.16413802377642e-472.08206901188821e-47
1811.17164926325578e-465.85824631627888e-47
1911.75291684756292e-468.76458423781458e-47
2018.64966041910391e-464.32483020955196e-46
2119.49556547518535e-474.74778273759268e-47
2215.16843423697256e-462.58421711848628e-46
2313.09576850189213e-451.54788425094607e-45
2412.35397046646772e-451.17698523323386e-45
2511.95792843072467e-449.78964215362336e-45
2611.80936275411794e-439.04681377058969e-44
2711.59097017108618e-427.95485085543091e-43
2812.33787774387899e-441.16893887193950e-44
2911.26286989836058e-466.31434949180291e-47
3011.03956246300896e-455.1978123150448e-46
3111.81490818968447e-469.07454094842233e-47
3219.85627692114693e-464.92813846057347e-46
3317.1754911198025e-473.58774555990125e-47
3411.23341449683296e-466.16707248416482e-47
3515.83041277125122e-462.91520638562561e-46
3611.94974552108695e-459.74872760543477e-46
3718.24999474910211e-464.12499737455105e-46
3813.15037121230465e-471.57518560615233e-47
3913.14153417880109e-471.57076708940054e-47
4015.25834929356343e-472.62917464678172e-47
4114.10080919761868e-462.05040459880934e-46
4213.29434509030749e-451.64717254515374e-45
4311.25504088278451e-446.27520441392255e-45
4411.50337567661167e-437.51687838305834e-44
4511.97157584528449e-429.85787922642246e-43
4611.42056335876742e-417.1028167938371e-42
4715.95487995103109e-412.97743997551554e-41
4817.0307907860611e-403.51539539303055e-40
4917.93873310049888e-393.96936655024944e-39
5016.56489171198985e-393.28244585599492e-39
5114.16577051693753e-392.08288525846877e-39
5212.51136097195419e-381.25568048597709e-38
5312.919764795537e-371.4598823977685e-37
5413.64741624289181e-371.82370812144590e-37
5516.60318225613464e-373.30159112806732e-37
5613.64941212412581e-361.82470606206291e-36
5716.53808564892334e-373.26904282446167e-37
5815.01346295623121e-362.50673147811561e-36
5917.6587489547504e-353.8293744773752e-35
6011.13360194106297e-335.66800970531486e-34
6113.28216837410445e-331.64108418705223e-33
6215.69045826616496e-332.84522913308248e-33
6317.24907458887198e-323.62453729443599e-32
6416.77857306806719e-313.38928653403359e-31
6519.5102005851084e-304.7551002925542e-30
6617.01928250520036e-293.50964125260018e-29
6712.73792346926102e-291.36896173463051e-29
6814.17292758378546e-282.08646379189273e-28
6915.8877356400622e-272.9438678200311e-27
7018.48689483459219e-264.24344741729609e-26
7113.243623326978e-251.621811663489e-25
7213.87965814409832e-241.93982907204916e-24
7312.42324694025938e-231.21162347012969e-23
7413.1365261729328e-221.5682630864664e-22
7514.55753168957208e-212.27876584478604e-21
7611.36179465888522e-206.80897329442612e-21
7711.56399259676986e-197.81996298384931e-20
7819.91949224546848e-204.95974612273424e-20
7911.72917012462424e-188.64585062312118e-19
8013.01979388567285e-171.50989694283643e-17
8114.70374789211651e-162.35187394605826e-16
820.9999999999999984.2358029258758e-152.1179014629379e-15
830.9999999999999696.20958427082655e-143.10479213541327e-14
840.9999999999998153.69857779263073e-131.84928889631536e-13
850.9999999999968756.24912155604845e-123.12456077802423e-12
860.9999999999488731.02254561690886e-105.11272808454428e-11
870.9999999998614632.77073557761392e-101.38536778880696e-10
880.999999998002623.9947581520865e-091.99737907604325e-09
890.9999999836106953.27786098694872e-081.63893049347436e-08
900.999999733468225.33063558668573e-072.66531779334286e-07
910.9999956735869978.65282600662877e-064.32641300331439e-06
920.9999339403668120.0001321192663761436.60596331880713e-05
930.9995872446092720.0008255107814560290.000412755390728014


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level871NOK
5% type I error level871NOK
10% type I error level871NOK