Multiple Linear Regression - Estimated Regression Equation
Wealth [t] = -119201.506007196 + 194798.386004110Group[t] + 19.0472970135833Costs[t] + 1974.32364909872Orders[t] + 2.42321936149088Dividends[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-119201.506007196114732.051052-1.0390.3014630.150731
Group194798.38600411097817.1770561.99150.0493030.024651
Costs19.04729701358334.5040534.22895.4e-052.7e-05
Orders1974.32364909872800.9745942.46490.0155010.007751
Dividends2.423219361490880.9023292.68550.0085470.004274


Multiple Linear Regression - Regression Statistics
Multiple R0.831262431338051
R-squared0.690997229754048
Adjusted R-squared0.677986586796324
F-TEST (value)53.1101523575212
F-TEST (DF numerator)4
F-TEST (DF denominator)95
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation474667.31148489
Sum Squared Residuals21404360376267.9


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162821545281560.142041841000593.85795816
243210231717754.935762422603268.06423758
341119122927841.436706491184070.56329351
42231932276818.20420978-2053625.20420978
514913482046242.39641185-554894.396411852
616296161600309.7226200429306.2773799605
713988931493461.64996256-94568.6499625583
819265172032444.60526627-105927.605266267
99836601390380.72255497-406720.722554969
101443586756152.893054489687433.106945511
1110730891173131.65669657-100042.656696568
12984885479529.651756862505355.348243138
1314052251190480.37738725214744.622612750
142271321164657.32175915-937525.32175915
159291181332043.95406673-402925.954066727
161071292497175.9585507574116.0414493
17638830916152.526229454-277322.526229454
188569561293944.44859101-436988.448591012
199924261345511.08199643-353085.081996428
204444771064805.98411520-620328.984115202
21857217666636.682218701190580.317781299
22711969826578.035066179-114609.035066179
23702380739137.228709075-36757.2287090749
243585891043733.00575209-685144.005752086
25297978505558.585908963-207580.585908963
26585715447458.523884129138256.476115871
276579541250193.44500235-592239.445002352
28209458327281.558534059-117823.558534059
29786690189072.85929498597617.14070502
30439798550629.762671193-110831.762671193
31688779402309.861279151286469.138720849
32574339696054.614943248-121715.614943248
33741409482834.93225905258574.06774095
34597793492074.178633146105718.821366854
35644190677787.961933097-33597.9619330973
36377934898863.553650982-520929.553650982
37640273438241.381668161202031.618331839
38697458607735.59291170389722.4070882974
39550608749232.763017231-198624.763017231
40207393410320.941497423-202927.941497423
41301607756963.156532259-455356.156532259
42345783486366.09975174-140583.09975174
43501749370026.949269874131722.050730126
44379983470151.597662202-90168.5976622022
45387475213535.434707864173939.565292136
46377305441884.795152372-64579.7951523716
47370837775751.5230066-404914.5230066
48430866844387.670694154-413521.670694154
49469107384098.97285706985008.0271429313
50194493190391.0188608624101.9811391377
51530670575410.940639718-44740.9406397179
52518365749701.796815861-231336.796815861
53491303863546.543166312-372243.543166312
54527021575892.346863288-48871.3468632883
55233773768887.623247804-535114.623247804
56405972226889.832442529179082.167557471
5765292586042.7999453715566882.200054629
58446211288459.540150379157751.459849621
59341340247048.44781465894291.5521853418
60387699632903.942778169-245204.942778169
61493408495133.867642223-1725.86764222317
62146494119264.25180201627229.748197984
63414462413826.809453132635.190546868282
64364304571370.269568106-207066.269568106
65355178181374.627612576173803.372387424
66357760848886.148622456-491126.148622456
67261216122949.285535447138266.714464553
68397144444918.179265144-47774.1792651437
69374943369770.301125595172.69887440978
70424898563263.063074457-138365.063074457
71202055296564.343358659-94509.3433586588
72378525147925.966724330230599.033275670
73310768236162.30519064974605.6948093514
74325738101244.556456021224493.443543979
75394510273618.650577384120891.349422616
76247060336799.388704870-89739.3887048705
77368078235437.784073997132640.215926003
7823676197298.9457546389139462.054245361
79312378176172.796869287136205.203130713
80339836399571.030165814-59735.0301658135
81347385112111.912797848235273.087202152
82426280513393.633240494-87113.6332404941
83352850299393.82448270953456.1755172911
8430188121937.9156974166279943.084302583
85377516169128.868303416208387.131696584
86357312473933.291299756-116621.291299756
87458343366325.74063303592017.2593669652
88354228168668.126639013185559.873360987
89308636267965.17398166140670.826018339
90386212169666.447400162216545.552599838
91393343221528.819894352171814.180105648
92378509411632.459579599-33123.4595795993
93452469212065.851158408240403.148841592
94364839564819.026377326-199980.026377326
9535864992610.9079413748266038.092058625
96376641339007.77871811437633.2212818855
97429112177559.943374048251552.056625952
98330546316036.10592116914509.8940788306
99403560282505.680572930121054.319427070
100317892297138.74947631320753.2505236870


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9999999999984063.18829107649308e-121.59414553824654e-12
90.9999999999927731.44531628744812e-117.22658143724062e-12
100.9999999999999931.42280010290397e-147.11400051451986e-15
110.9999999999999984.73600824587067e-152.36800412293533e-15
1214.46591172946131e-182.23295586473066e-18
1314.75278995391256e-242.37639497695628e-24
1411.07046487876317e-265.35232439381584e-27
1511.13561589046310e-285.67807945231552e-29
1614.88833491812956e-322.44416745906478e-32
1711.15931893957694e-325.79659469788472e-33
1814.43186281324715e-342.21593140662358e-34
1911.77715569973115e-338.88577849865577e-34
2011.90818990315379e-339.54094951576893e-34
2117.04953882844098e-343.52476941422049e-34
2215.05774018357252e-332.52887009178626e-33
2311.50671116021554e-327.53355580107772e-33
2412.86569141579555e-321.43284570789778e-32
2519.71127629275803e-324.85563814637901e-32
2611.10794916353421e-315.53974581767107e-32
2711.86499998453973e-319.32499992269863e-32
2811.10219374879210e-315.51096874396051e-32
2915.24054633751549e-342.62027316875775e-34
3013.52396343131097e-331.76198171565549e-33
3111.60792332344183e-338.03961661720916e-34
3218.84243565808334e-334.42121782904167e-33
3311.01690004274575e-335.08450021372874e-34
3411.57270145863342e-337.8635072931671e-34
3517.8664852563727e-333.93324262818635e-33
3613.23813939561939e-321.61906969780970e-32
3711.22886568270673e-326.14432841353364e-33
3818.36090404001015e-344.18045202000507e-34
3911.84208215700095e-339.21041078500475e-34
4013.68835128190077e-331.84417564095038e-33
4119.32589778354368e-334.66294889177184e-33
4214.38853391827711e-322.19426695913856e-32
4311.18274732226267e-315.91373661131333e-32
4418.48169497479217e-314.24084748739608e-31
4514.83121260843323e-302.41560630421661e-30
4613.51285425746296e-291.75642712873148e-29
4718.41041548812615e-294.20520774406307e-29
4813.98887252464113e-281.99443626232057e-28
4912.18476482234208e-271.09238241117104e-27
5012.99714072711949e-271.49857036355974e-27
5114.40048823674942e-272.20024411837471e-27
5215.56611720948336e-272.78305860474168e-27
5312.92882427012348e-261.46441213506174e-26
5411.16603787556264e-265.83018937781318e-27
5512.09424360969568e-261.04712180484784e-26
5618.77088089707743e-264.38544044853872e-26
5711.23458063407922e-286.17290317039612e-29
5815.90685703280281e-282.95342851640141e-28
5915.42462777028401e-272.71231388514201e-27
6014.84999680777e-262.424998403885e-26
6118.77362197767456e-264.38681098883728e-26
6218.07108600144844e-274.03554300072422e-27
6314.90433627602499e-262.45216813801250e-26
6415.17198941052967e-252.58599470526483e-25
6514.95125313348991e-242.47562656674495e-24
6611.39470932140279e-246.97354660701397e-25
6715.91570800418672e-242.95785400209336e-24
6814.65776116717963e-232.32888058358981e-23
6913.14225547199888e-221.57112773599944e-22
7013.30844597423774e-211.65422298711887e-21
7112.15631696843964e-211.07815848421982e-21
7212.19457596550924e-201.09728798275462e-20
7319.68169476294826e-204.84084738147413e-20
7411.12144845385625e-185.60724226928127e-19
7511.28950710990591e-176.44753554952953e-18
7612.91054221552848e-171.45527110776424e-17
7713.43368413217738e-161.71684206608869e-16
7813.28279801628071e-161.64139900814035e-16
7918.65389475597113e-164.32694737798556e-16
800.9999999999999941.09763365538639e-145.48816827693194e-15
810.999999999999931.39590094605682e-136.9795047302841e-14
820.9999999999993141.37186440135981e-126.85932200679905e-13
830.9999999999966976.60545958676148e-123.30272979338074e-12
840.9999999999712625.74762844046524e-112.87381422023262e-11
850.999999999620857.58300593938408e-103.79150296969204e-10
860.9999999957326338.53473329433435e-094.26736664716717e-09
870.9999999516227329.67545350931405e-084.83772675465702e-08
880.9999995145420489.70915904511296e-074.85457952255648e-07
890.9999999245408241.50918351609489e-077.54591758047445e-08
900.999998509568292.98086342167626e-061.49043171083813e-06
910.9999797376134824.05247730350019e-052.02623865175010e-05
920.9996236191022230.0007527617955531080.000376380897776554


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