Multiple Linear Regression - Estimated Regression Equation
Trades[t] = + 78.1233889151631 + 85.2298042625602Group[t] + 0.00528577879449569Costs[t] -0.00724477872667004GrCosts[t] + 0.327954919331716GrTrades[t] -0.000616431833275788Dividends[t] -0.000603374741996059GrDiv[t] + 6.4698704385376e-06TrDiv[t] -2.22387688513800e-05`Wealth `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)78.123388915163119.8180653.9420.0001587.9e-05
Group85.229804262560232.7655532.60120.0108420.005421
Costs0.005285778794495690.0006827.753700
GrCosts-0.007244778726670040.001195-6.061600
GrTrades0.3279549193317160.1111262.95120.0040250.002013
Dividends-0.0006164318332757880.000174-3.53680.000640.00032
GrDiv-0.0006033747419960590.00027-2.23460.0278910.013946
TrDiv6.4698704385376e-06015.028800
`Wealth `-2.22387688513800e-051.6e-05-1.40210.1642910.082146


Multiple Linear Regression - Regression Statistics
Multiple R0.943928684452234
R-squared0.891001361331725
Adjusted R-squared0.881419063426821
F-TEST (value)92.9841015353732
F-TEST (DF numerator)8
F-TEST (DF denominator)91
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation65.3720585028906
Sum Squared Residuals388889.048994387


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110811290.27028636935-209.270286369352
2309173.899015205695135.100984794305
3458317.767677905623140.232322094377
4588470.090355008308117.909644991692
5299212.02439285728986.975607142711
615658.317292547625697.6827074523744
7481586.973560327673-105.973560327673
8323334.654045588482-11.6540455884825
9452320.467856078033131.532143921967
10109110.507282145974-1.50728214597428
11115218.855850956329-103.855850956329
12110127.813241386923-17.8132413869226
13239173.47535432078165.524645679219
14247353.139936574874-106.139936574874
15497447.93306486946149.0669351305388
1610394.61163475279068.3883652472094
17109123.788260497284-14.7882604972836
18502501.8732922561540.126707743845785
19248163.57908351070984.4209164892912
20373382.950280095076-9.95028009507616
21119120.397570301925-1.39757030192455
228477.35121837523936.64878162476068
23102140.142112888261-38.1421128882605
24295308.20291248134-13.20291248134
25105114.318357057162-9.31835705716223
2664136.814711895112-72.8147118951122
27267224.78678781882742.2132121811726
28129145.598837131620-16.5988371316204
293793.8632556984867-56.8632556984867
30361229.643412627325131.356587372675
312860.0886728337764-32.0886728337764
328583.46379225172711.53620774827286
334473.985100389802-29.985100389802
344965.075765960423-16.0757659604230
3522-71.436588899347893.4365888993478
36155207.366775271174-52.366775271174
3791115.760059262576-24.7600592625762
388185.6981675956595-4.69816759565952
397933.142735733936345.8572642660637
40145120.2784697587524.7215302412499
41816709.35486565987106.645134340129
4261120.934205009002-59.9342050090021
43226170.22563431754555.7743656824548
44105112.622812730485-7.62281273048548
456279.2492093584405-17.2492093584405
462448.2292704057255-24.2292704057255
4726-66.190174782292192.1901747822921
48322361.876651483944-39.8766514839444
498484.7010142592245-0.701014259224468
503354.6983263857004-21.6983263857004
51108123.717365927723-15.7173659277228
52150159.432764558925-9.43276455892495
5311585.349554235650329.6504457643497
54162177.062227422668-15.0622274226677
55158167.781153272940-9.78115327294048
569781.995620003215315.0043799967847
57958.4946446940818-49.4946446940818
586679.7591185240336-13.7591185240336
5910784.2824920936922.7175079063101
60101119.658847553364-18.6588475533643
614770.489441278293-23.489441278293
623858.6643022000376-20.6643022000376
633464.4822914162119-30.4822914162119
6484113.316261112867-29.3162611128673
657978.00795183718030.992048162819682
66947640.664891184525306.335108815475
677466.41448377512727.58551622487278
685379.5727920153672-26.5727920153672
699474.552765055449619.4472349445504
706385.3552983743526-22.3552983743526
7158147.82577782258-89.8257778225801
724985.074898008531-36.074898008531
733436.048086352312-2.04808635231198
741130.5210151045620-19.5210151045620
753533.61166412914161.38833587085842
761773.9533962531998-56.9533962531998
774739.39170246882897.60829753117108
784351.3834912301866-8.3834912301866
7911786.518576415584830.4814235844152
80171195.406722982970-24.4067229829696
812650.394293315634-24.394293315634
8273101.290463778903-28.2904637789025
835940.820633813707718.1793661862923
841855.9990365477834-37.9990365477834
851518.2179956274575-3.2179956274575
8672119.435705834532-47.4357058345324
878681.76341743293144.23658256706862
881417.672737828793-3.67273782879301
896459.6621730372114.33782696278901
901115.7065614138648-4.70656141386482
915253.2160822530349-1.21608225303492
924183.5888709445375-42.5888709445375
939982.037486161783316.9625138382167
947573.71243365425941.28756634574059
954567.9252426984615-22.9252426984615
9643106.365773262194-63.3657732621936
9785.360908819994852.63909118000515
98198221.700858048041-23.7008580480413
992220.27622548086981.72377451913021
1001172.8277982265484-61.8277982265484


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.9798082338295250.04038353234095030.0201917661704752
130.9763917011730170.04721659765396690.0236082988269834
140.9937059127454030.01258817450919320.00629408725459662
150.9886935947140230.02261281057195380.0113064052859769
160.991259694220170.01748061155966030.00874030577983015
170.9934660786575680.01306784268486320.00653392134243162
180.9883522510078580.02329549798428510.0116477489921425
190.9825813318374140.03483733632517280.0174186681625864
200.999315221485560.001369557028881550.000684778514440774
210.999179474587750.001641050824500640.00082052541225032
220.9988584855892710.002283028821457400.00114151441072870
230.9986934046131620.002613190773676530.00130659538683827
240.9992857028385230.001428594322953260.000714297161476629
250.9988235472442980.002352905511403710.00117645275570186
260.9996061204709220.0007877590581568660.000393879529078433
270.9995155304113670.0009689391772662440.000484469588633122
280.9991551066327510.001689786734498480.00084489336724924
290.9993376090193650.001324781961269670.000662390980634836
300.9999998089232663.82153467491008e-071.91076733745504e-07
310.9999997887501924.22499615528942e-072.11249807764471e-07
320.9999995837778438.32444313281477e-074.16222156640738e-07
330.9999993472092531.30558149371287e-066.52790746856435e-07
340.9999987245273542.55094529172982e-061.27547264586491e-06
350.9999987680214372.46395712633943e-061.23197856316971e-06
360.9999985194941132.96101177393364e-061.48050588696682e-06
370.99999785278534.29442939773425e-062.14721469886712e-06
380.9999955926435448.81471291282235e-064.40735645641117e-06
390.9999913709748731.72580502530967e-058.62902512654836e-06
400.9999883528303322.32943393357603e-051.16471696678801e-05
4112.54216742961474e-181.27108371480737e-18
4217.04715505132021e-183.52357752566011e-18
4311.86449673819117e-179.32248369095586e-18
4414.57567080334027e-172.28783540167013e-17
4511.82320327419440e-169.11601637097198e-17
4615.48494250336775e-162.74247125168387e-16
4713.75168034923947e-181.87584017461974e-18
4815.88955466364779e-222.94477733182389e-22
4911.70943239505903e-218.54716197529514e-22
5019.29738785925414e-214.64869392962707e-21
5113.95141716336058e-201.97570858168029e-20
5211.46796460524443e-197.33982302622213e-20
5317.96042500215624e-193.98021250107812e-19
5416.3855021447219e-193.19275107236095e-19
5518.68193618839187e-214.34096809419593e-21
5611.89861880478230e-209.49309402391152e-21
5711.16303126846672e-205.81515634233361e-21
5815.72659775415654e-202.86329887707827e-20
5913.47332210650841e-191.73666105325420e-19
6011.64317190818739e-188.21585954093697e-19
6119.2730289474471e-184.63651447372355e-18
6215.78597861869941e-172.89298930934970e-17
6312.34500331631749e-161.17250165815874e-16
6411.20533254120017e-156.02666270600085e-16
650.9999999999999975.39879383429415e-152.69939691714708e-15
6618.53302296221315e-174.26651148110657e-17
6713.28936922103785e-161.64468461051892e-16
6811.48816856894878e-157.44084284474388e-16
690.9999999999999992.8988026447174e-151.4494013223587e-15
700.999999999999991.85009889097916e-149.2504944548958e-15
710.9999999999999843.23797725845355e-141.61898862922677e-14
720.9999999999998862.28883131998517e-131.14441565999259e-13
730.9999999999991361.72739385143351e-128.63696925716754e-13
740.9999999999942331.15340758578255e-115.76703792891275e-12
750.9999999999588398.23224688240744e-114.11612344120372e-11
760.9999999998343633.31273600297376e-101.65636800148688e-10
770.9999999988645922.27081545449372e-091.13540772724686e-09
780.9999999930462061.39075889303011e-086.95379446515056e-09
790.9999999966128566.77428710985091e-093.38714355492546e-09
800.9999999998963562.07288961910417e-101.03644480955208e-10
810.9999999989646772.07064693810410e-091.03532346905205e-09
820.9999999938235921.23528157509785e-086.17640787548927e-09
830.9999999612836037.74327948802938e-083.87163974401469e-08
840.9999998293941683.41211664880158e-071.70605832440079e-07
850.9999979513973744.09720525191670e-062.04860262595835e-06
860.9999854827306922.90345386153239e-051.45172693076619e-05
870.9999759441821654.81116356692249e-052.40558178346124e-05
880.9998254641481580.0003490717036842070.000174535851842103


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level690.896103896103896NOK
5% type I error level771NOK
10% type I error level771NOK