Multiple Linear Regression - Estimated Regression Equation
Wealth[t] = + 205204.989348910 -210280.941099507Group[t] + 30.6772483966378Costs[t] -324.567875602376Trades[t] + 2.3730252473845Dividends[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)205204.989348910126632.6599011.62050.1084450.054223
Group-210280.941099507100241.326173-2.09770.0385820.019291
Costs30.67724839663783.1906389.614800
Trades-324.567875602376358.607505-0.90510.3677140.183857
Dividends2.37302524738450.9269332.56010.0120420.006021


Multiple Linear Regression - Regression Statistics
Multiple R0.821002770953783
R-squared0.67404554991379
Adjusted R-squared0.660321152015423
F-TEST (value)49.1129414131897
F-TEST (DF numerator)4
F-TEST (DF denominator)95
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation487513.442644005
Sum Squared Residuals22578588892067.9


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162821545346852.30085869935301.69914131
243210231212823.900926503108199.09907350
341119123105888.721297471006023.27870253
42231932341891.54442077-2118698.54442077
514913482085240.4592307-593892.459230699
616296161835539.00013950-205923.000139503
713988931401965.10647826-3072.10647826221
819265172034072.02207523-107555.022075230
99836601358599.91327737-374939.913277366
101443586782572.629842963661013.370157037
1110730891332678.92603456-259589.926034559
12984885462131.086733516522753.913266484
131405225676195.346523948729029.653476052
142271321328408.54241618-1101276.54241618
159291181028699.37947680-99581.379476803
161071292504182.781478658567109.218521342
17638830861894.875676787-223064.875676787
18856956981444.451927678-124488.451927678
199924261367984.35263983-375558.352639827
20444477712071.387815901-267594.387815901
21857217760412.41319739996804.5868026011
227119691052334.03226176-340365.032261763
23702380763472.720725566-61092.7207255656
24358589671992.66963147-313403.669631470
25297978498115.866209977-200137.866209977
26585715611077.66858178-25362.6685817795
276579541140299.64952648-482345.649526476
28209458375279.120466404-165821.120466404
29786690322093.177272373464596.822727627
30439798438310.1778017251487.82219827473
31688779506303.992267596182475.007732404
32574339791999.946798282-217660.946798282
33741409596043.98193069145365.018069309
34597793570286.34443893127506.6555610687
35644190771757.572805169-127567.572805169
36377934756838.444405076-378904.444405076
37640273492387.773099243147885.226900757
38697458609519.54961964387938.4503803568
39550608707209.855527275-156601.855527275
40207393262064.336855251-54671.3368552506
41301607286792.13285068314814.867149317
42345783624829.440402476-279046.440402476
43501749283002.128840440218746.871159560
44379983450444.367620285-70461.3676202853
45387475280891.19862556106583.801374440
46377305551814.14777581-174509.147775810
47370837784499.36254241-413662.362542409
48430866655531.013438052-224665.013438052
49469107407328.77925184461778.2207481563
50194493235586.391668363-41093.3916683634
51530670523601.5548080097068.44519199109
52518365603616.898166888-85251.8981668882
53491303839563.835773396-348260.835773396
54527021534387.252754684-7366.25275468426
55233773668452.625977665-434679.625977665
56405972182155.877370101223816.122629899
57652925226463.085565390426461.91443461
58446211346431.84429855699779.1557014437
59341340235705.458586665105634.541413335
60387699665997.823809616-278298.823809616
61493408584575.983739852-91167.9837398521
62146494172620.425600293-26126.4256002927
63414462514598.351242623-100136.351242623
64364304604514.865314149-240210.865314149
65355178191393.656562713163784.343437287
66357760309663.35324928148096.6467507191
67261216189621.08680531071594.9131946903
68397144489289.597318375-92145.597318375
69374943319240.64799565855702.3520043418
70424898546511.456244787-121613.456244787
71202055344647.053942752-142592.053942752
72378525228697.589519919149827.410480081
73310768281428.68650120329339.3134987966
74325738196494.303968394129243.696031606
75394510326259.35262099668250.6473790036
76247060437060.314034655-190000.314034655
77368078283062.09506531385015.9049346867
78236761181455.66448494155305.3355150587
79312378161058.683561186151319.316438814
80339836449841.042937028-110005.042937028
81347385173531.711907103173853.288092897
82426280538223.028001819-111943.028001819
83352850332429.50483858920420.495161411
84301881108084.232111034193796.767888966
85377516249592.654328812127923.345671188
86357312508891.769045934-151579.769045934
87458343292931.754487573165411.245512427
88354228253645.516843247100582.483156753
89308636291533.84324430317102.1567556972
90386212253988.095649622132223.904350378
91393343266176.628172588127166.371827412
92378509479095.824054814-100586.824054814
93452469182815.463759315269653.536240685
94364839682437.496599533-317598.496599533
95358649127320.334527143231328.665472857
96376641427935.21662891-51294.21662891
97429112268811.704636681160300.295363319
98330546350866.583174919-20320.5831749190
99403560375265.52556974928294.474430251
100317892417816.658888574-99924.6588885743


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
811.14950965585681e-155.74754827928404e-16
916.50192402395504e-243.25096201197752e-24
1019.8389847131465e-264.91949235657325e-26
1111.09331675281288e-255.46658376406438e-26
1215.56955056448243e-282.78477528224121e-28
1311.19906892278859e-315.99534461394296e-32
1416.14506189946576e-343.07253094973288e-34
1516.80467709672857e-353.40233854836428e-35
1611.81358795447156e-389.06793977235778e-39
1711.00611277651984e-375.03056388259921e-38
1814.14645866930642e-382.07322933465321e-38
1916.45718189579459e-383.22859094789729e-38
2014.8059319749975e-372.40296598749875e-37
2111.28743242062180e-376.43716210310901e-38
2213.96508430295402e-371.98254215147701e-37
2311.39043656624749e-366.95218283123747e-37
2416.30361347947488e-363.15180673973744e-36
2512.30446578924454e-351.15223289462227e-35
2611.07255870838167e-345.36279354190836e-35
2712.8229844597628e-341.4114922298814e-34
2814.27595018248717e-342.13797509124359e-34
2915.71056452836322e-362.85528226418161e-36
3013.73588069179919e-351.86794034589960e-35
3111.52453543166418e-357.6226771583209e-36
3216.1702786543498e-353.0851393271749e-35
3316.03071074959444e-363.01535537479722e-36
3418.7183147117415e-364.35915735587075e-36
3514.62526601527646e-352.31263300763823e-35
3611.46046141829268e-347.30230709146342e-35
3711.12673394782425e-345.63366973912124e-35
3818.82644793150257e-364.41322396575128e-36
3912.49612257980424e-351.24806128990212e-35
4014.68516129621032e-352.34258064810516e-35
4113.15945586510931e-341.57972793255466e-34
4218.85011631103996e-344.42505815551998e-34
4312.13197647725125e-331.06598823862563e-33
4411.45530460245198e-327.2765230122599e-33
4511.08419570529626e-315.42097852648129e-32
4617.4121730740075e-313.70608653700375e-31
4712.02728265934929e-301.01364132967465e-30
4811.33020707434613e-296.65103537173064e-30
4918.83389851278769e-294.41694925639384e-29
5011.09850310028250e-285.49251550141249e-29
5111.66036095582744e-288.30180477913721e-29
5214.02085181224515e-282.01042590612258e-28
5312.46548157216292e-271.23274078608146e-27
5418.74873256765517e-284.37436628382759e-28
5518.1781997733751e-284.08909988668755e-28
5614.6803253177759e-272.34016265888795e-27
5715.30178978807201e-302.65089489403600e-30
5814.01979073556749e-292.00989536778375e-29
5914.11344415346927e-282.05672207673463e-28
6012.73768883310221e-271.36884441655110e-27
6119.16671822180903e-274.58335911090451e-27
6215.88655577201967e-282.94327788600983e-28
6314.19669479827719e-272.09834739913859e-27
6413.585170659887e-261.7925853299435e-26
6513.88709899949494e-251.94354949974747e-25
6612.63461669667776e-241.31730834833888e-24
6719.03853465591332e-244.51926732795666e-24
6815.5502768073258e-232.7751384036629e-23
6915.82214151830326e-222.91107075915163e-22
7013.45704794732006e-211.72852397366003e-21
7114.96030486154134e-212.48015243077067e-21
7215.30294113769182e-202.65147056884591e-20
7313.13731943233893e-191.56865971616947e-19
7413.36360402352731e-181.68180201176365e-18
7513.71466028589896e-171.85733014294948e-17
7611.16785932064480e-165.83929660322401e-17
7711.31203610752780e-156.56018053763902e-16
7816.97345101787183e-163.48672550893592e-16
790.9999999999999983.7449693448447e-151.87248467242235e-15
800.9999999999999764.75893121137737e-142.37946560568869e-14
810.9999999999997455.09366704066196e-132.54683352033098e-13
820.9999999999984293.14222237310169e-121.57111118655085e-12
830.9999999999858672.82653649342057e-111.41326824671029e-11
840.999999999952289.54390588863874e-114.77195294431937e-11
850.9999999993956751.20865028835267e-096.04325144176336e-10
860.9999999934033961.31932072034809e-086.59660360174044e-09
870.9999999582987188.34025633430263e-084.17012816715132e-08
880.9999995907942068.18411587533157e-074.09205793766579e-07
890.9999994797511281.04049774354137e-065.20248871770684e-07
900.999992820660211.43586795808325e-057.17933979041623e-06
910.999908072580560.0001838548388810429.1927419440521e-05
920.9990223264759420.001955347048116630.000977673524058315


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level851NOK
5% type I error level851NOK
10% type I error level851NOK