Multiple Linear Regression - Estimated Regression Equation
Wealth[t] = + 277356.379214211 + 9.68627414559874Costs[t] -215.764818638136Trades[t] + 397.451574439388Orders[t] + 0.693364216186951Dividends[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)277356.37921421139187.2961177.077700
Costs9.686274145598747.2672581.33290.189140.09457
Trades-215.764818638136158.358849-1.36250.1796720.089836
Orders397.451574439388599.738890.66270.5108250.255412
Dividends0.6933642161869510.4001911.73260.089870.044935


Multiple Linear Regression - Regression Statistics
Multiple R0.392827243240654
R-squared0.154313243032052
Adjusted R-squared0.080775264165274
F-TEST (value)2.09841561340171
F-TEST (DF numerator)4
F-TEST (DF denominator)46
p-value0.0963284682016443
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation87541.7774609282
Sum Squared Residuals352523888846.859


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1194493361630.211109046-167137.211109046
2530670395381.558385441135288.441614559
3518365432680.17665561985684.8233443808
4491303492618.514546011-1315.51454601063
5527021379807.104899615147213.895100385
6233773442280.06549428-208507.065494281
7405972352659.54853588953312.451464111
8652925349014.249075821303910.750924179
9446211394643.01266267551567.9873373248
10341340355968.548697657-14628.548697657
11387699440304.601729954-52605.6017299535
12493408403632.34667768989775.6533223111
13146494338504.283088191-192010.283088191
14414462375838.00297047738623.9970295232
15364304419577.075558607-55273.0755586073
16355178348604.4028477076573.59715229306
17357760364137.210791847-6377.21079184654
18261216331893.065889666-70677.0658896664
19397144372924.34860477924219.6513952209
20374943390792.848149202-15849.8481492023
21424898406163.31851184218734.6814881579
22202055332761.495682466-130706.495682466
23378525358539.34591668119985.6540833188
24310768371902.473035387-61134.4730353869
25325738338899.60813619-13161.6081361900
26394510384876.1869148949633.81308510628
27247060351907.398750297-104847.398750297
28368078368120.062195651-42.0621956506366
29236761331615.693850616-94854.6938506164
30312378333342.35348819-20964.35348819
31339836333804.671073516031.32892648994
32347385338922.3845408008462.61545919952
33426280395202.13607746231077.8639225384
34352850382584.851510322-29734.8515103219
35301881314793.570316241-12912.5703162405
36377516356286.26456987221229.7354301281
37357312388523.315654525-31211.315654525
38458343396407.61357500761935.3864249929
39354228356815.274174408-2587.27417440775
40308636375684.493554661-67048.4935546614
41386212357695.13061373828516.8693862623
42393343366078.74411106827264.2558889318
43378509370454.880697548054.11930245974
44452469348938.655480924103530.344519076
45364839423975.395144575-59136.3951445753
46358649329054.63087827229594.3691217279
47376641351366.72069337225274.279306628
48429112360188.68101070868923.3189892923
49330546305738.34555226824807.6544477320
50403560395231.1591224058328.84087759478
51317892342724.968795934-24832.9687959336


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9999935704256121.28591487766904e-056.4295743883452e-06
90.999994076201861.18475962781424e-055.92379813907118e-06
100.9999870468918842.59062162319417e-051.29531081159708e-05
110.9999886800227132.26399545730839e-051.13199772865420e-05
120.9999860597774232.78804451542394e-051.39402225771197e-05
130.999999942243591.15512819688027e-075.77564098440133e-08
140.9999998691273922.61745215367267e-071.30872607683633e-07
150.9999997073236525.85352695286271e-072.92676347643136e-07
160.9999990556950011.88860999721066e-069.44304998605331e-07
170.9999977631885654.47362287066488e-062.23681143533244e-06
180.9999976448591254.71028174992513e-062.35514087496257e-06
190.9999935186244441.29627511124401e-056.48137555622007e-06
200.9999871997683832.56004632332140e-051.28002316166070e-05
210.9999665900756686.68198486631992e-053.34099243315996e-05
220.999995747193828.50561236124415e-064.25280618062207e-06
230.9999908289200141.83421599728057e-059.17107998640285e-06
240.9999904929639151.90140721705425e-059.50703608527126e-06
250.999973605430555.27891388995116e-052.63945694497558e-05
260.9999292274047590.0001415451904828317.07725952414156e-05
270.99997505788474.98842306005752e-052.49421153002876e-05
280.9999314959800780.0001370080398438676.85040199219335e-05
290.9999814698110383.70603779240903e-051.85301889620451e-05
300.9999801818129393.96363741228884e-051.98181870614442e-05
310.999939106974310.0001217860513806256.08930256903127e-05
320.9998315948973940.0003368102052117610.000168405102605880
330.999607834838450.0007843303230989810.000392165161549490
340.999544992230790.0009100155384186320.000455007769209316
350.9990364656794340.001927068641131880.00096353432056594
360.9974090710588280.005181857882344510.00259092894117226
370.9943300040345050.01133999193099030.00566999596549516
380.9870433840672420.02591323186551580.0129566159327579
390.9726463569962450.05470728600751030.0273536430037552
400.9990584765210620.001883046957875670.000941523478937834
410.9962261845283260.007547630943347860.00377381547167393
420.989035847548140.02192830490372010.0109641524518600
430.9683556760902080.06328864781958380.0316443239097919


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level310.861111111111111NOK
5% type I error level340.944444444444444NOK
10% type I error level361NOK