Multiple Linear Regression - Estimated Regression Equation
Wealth[t] = -42000.8185908956 + 15.9214989697913Costs[t] + 2669.75885268391Orders[t] + 2.98822899621563Dividends[t] -4099.56734915861t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-42000.8185908956314242.402391-0.13370.8941610.447081
Costs15.92149896979136.3240372.51760.0147570.007379
Orders2669.758852683911168.6121512.28460.0262210.01311
Dividends2.988228996215631.2716892.34980.02240.0112
t-4099.567349158616197.911928-0.66140.511090.255545


Multiple Linear Regression - Regression Statistics
Multiple R0.8155944379683
R-squared0.665194287244827
Adjusted R-squared0.640844780862632
F-TEST (value)27.3185943404278
F-TEST (DF numerator)4
F-TEST (DF denominator)55
p-value1.64890323617328e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation618138.706379022
Sum Squared Residuals21015250317816.2


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162821545333375.58192474948778.418075258
243210231853812.951946092467210.04805391
341119122897359.067234871214552.93276513
42231932355698.80915878-2132505.80915878
514913482028076.28218514-536728.282185141
616296161530509.8850541899106.1149458233
713988931669951.64665333-271058.646653331
819265172059159.99843476-132642.998434765
99836601310744.75719886-327084.757198863
101443586663415.929788135780170.070211865
1110730891335558.85674196-262469.856741959
12984885579878.395082897405006.604917103
1314052251235620.04583311169604.954166890
142271321198895.92992751-971763.929927506
159291181323994.09565187-394876.095651872
161071292617559.202303258453732.797696742
176388301135148.72644845-496318.726448447
188569561282835.10621271-425879.106212711
199924261216637.63736300-224211.637363003
204444771266354.07257114-821877.072571138
21857217519639.867490744337577.132509256
22711969640673.27697988171295.7230201192
23702380845559.523341843-143179.523341843
243585891239374.82262514-880785.822625143
25297978591381.36999582-293403.369995821
26585715443621.288439671142093.711560329
276579541141931.52151572-483977.521515719
28209458320762.116800883-111304.116800883
29786690162424.282798194624265.717201806
30439798584617.103670244-144819.103670244
31688779214422.881323347474356.118676653
32574339518962.28572329555376.7142767048
33741409281461.172024343459947.827975657
34597793307877.856349429289915.143650571
35644190783356.199422065-139166.199422065
36377934975003.411922775-597069.411922775
37640273432987.024247672207285.975752328
38697458436860.481665942260597.518334058
39550608630436.96506448-79828.9650644799
40207393447012.103266425-239619.103266425
41301607852747.88313204-551140.88313204
42345783441943.681589344-96160.6815893441
43501749371699.856486442130049.143513558
44379983473098.445141067-93115.4451410666
45387475157986.872333110229488.127666890
46377305199075.270347247178229.729652753
47370837603235.154516543-232398.154516543
48430866687625.543049717-256759.543049717
49469107354322.540425556114784.459574444
50194493127155.2905560867337.7094439199
51530670362521.105205040168148.894794960
52518365576673.855243524-58308.8552435236
53491303680072.615811201-188769.615811201
54527021359799.223016033167221.776983967
55233773579018.395251971-345245.395251971
56405972155273.567516702250698.432483298
57652925-49526.4962785979702451.496278598
58446211193344.759748833252866.240251167
59341340170037.450076304171302.549923696
60387699348682.45444913839016.5455508623


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9971404740293960.005719051941208710.00285952597060436
90.9999999844340153.11319693294107e-081.55659846647053e-08
100.999999999999191.62172001154219e-128.10860005771095e-13
110.9999999999989452.10930653405723e-121.05465326702861e-12
120.9999999999992291.54202677297281e-127.71013386486407e-13
130.9999999999999676.53604704721324e-143.26802352360662e-14
140.9999999999999983.739284204768e-151.869642102384e-15
150.9999999999999975.28156872774791e-152.64078436387396e-15
1615.95424975150389e-162.97712487575194e-16
1719.26210498796022e-164.63105249398011e-16
1811.12274508467804e-155.6137254233902e-16
1912.62294992432246e-161.31147496216123e-16
2018.99887764060649e-164.49943882030324e-16
2111.45323304045917e-167.26616520229583e-17
2212.54072460716500e-161.27036230358250e-16
2311.11747018211046e-155.58735091055229e-16
240.9999999999999984.38758006829298e-152.19379003414649e-15
250.9999999999999975.19255975599411e-152.59627987799705e-15
260.9999999999999941.23728249854256e-146.1864124927128e-15
270.999999999999992.01890606152338e-141.00945303076169e-14
280.9999999999999983.3724395883887e-151.68621979419435e-15
290.9999999999999983.66220198245120e-151.83110099122560e-15
300.9999999999999892.21162893006839e-141.10581446503420e-14
310.999999999999968.02707903678107e-144.01353951839053e-14
320.999999999999764.78923395762952e-132.39461697881476e-13
330.9999999999995479.05473827053027e-134.52736913526513e-13
340.9999999999977644.47144634491074e-122.23572317245537e-12
350.9999999999868842.62322988523811e-111.31161494261905e-11
360.9999999999298541.40292909737269e-107.01464548686344e-11
370.9999999998574642.85071623031067e-101.42535811515533e-10
380.999999999927031.45939533307164e-107.29697666535818e-11
390.9999999997712874.5742621349062e-102.2871310674531e-10
400.9999999992386721.52265571977943e-097.61327859889713e-10
410.9999999961093957.78121015541112e-093.89060507770556e-09
420.9999999780777644.38444728817214e-082.19222364408607e-08
430.9999999044744921.9105101540558e-079.552550770279e-08
440.999999447497831.105004341214e-065.52502170607e-07
450.9999971163854755.76722905035026e-062.88361452517513e-06
460.9999860694627162.786107456729e-051.3930537283645e-05
470.99993979164160.0001204167168011216.02083584005603e-05
480.9997153726874270.0005692546251459640.000284627312572982
490.9987468643832650.002506271233470170.00125313561673509
500.9999183806887640.0001632386224718018.16193112359004e-05
510.9995602608436430.000879478312714710.000439739156357355
520.9987813258702830.0024373482594340.001218674129717


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level451NOK
5% type I error level451NOK
10% type I error level451NOK