Multiple Linear Regression - Estimated Regression Equation
rijkdom[t] = + 23546.9979632041 + 13.9716805944773Kosten[t] + 2839.80734684669orders[t] + 3.4504396643183dividenden[t] -9004.44968489971t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)23546.9979632041380044.0533970.0620.950870.475435
Kosten13.97168059447736.9774342.00240.0512890.025644
orders2839.807346846691296.7102862.190.0337480.016874
dividenden3.45043966431831.4276792.41680.0197740.009887
t-9004.449684899718948.121956-1.00630.3196540.159827


Multiple Linear Regression - Regression Statistics
Multiple R0.819356821074545
R-squared0.671345600241384
Adjusted R-squared0.642131875818396
F-TEST (value)22.9804865179431
F-TEST (DF numerator)4
F-TEST (DF denominator)45
p-value2.15578666029614e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation665198.538833598
Sum Squared Residuals19912009322985.9


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
162821545312798.38827962969355.611720383
243210231964761.025535132356261.97446487
341119122918355.367550061193556.63244994
42231932297163.42953888-2073970.42953888
514913482074761.83695743-583413.836957434
616296161584733.9859751344882.0140248697
713988931725832.80251174-326939.802511736
819265172151300.18377095-224783.183770947
99836601325343.44784304-341683.447843035
101443586692219.87440092751366.12559908
1110730891427968.18307141-354879.183071411
12984885604787.148997646380097.851002354
1314052251268319.04177319136905.958226813
142271321158248.57240919-931116.572409195
159291181359277.09902911-430159.099029107
161071292672478.409838741398813.590161259
176388301253965.18163934-615135.181639337
188569561315207.15949732-458251.15949732
199924261172987.10466583-180561.104665831
204444771302939.76933944-858462.76933944
21857217507332.880421158349884.119578842
22711969603052.36046108108916.639538920
23702380866344.81308629-163964.813086290
243585891258747.84314716-900158.843147165
25297978596436.922486374-298458.922486374
26585715389817.558596986195897.441403014
276579541095903.13535757-437949.135357565
28209458252510.440559002-43052.4405590021
2978669089674.509349172697015.490650828
30439798521591.046421804-81793.0464218044
31688779166058.412253768522720.587746232
32574339465458.919371616108880.080628384
33741409215572.593261336525836.406738664
34597793252195.594327781345597.405672219
35644190814380.211608515-170190.211608515
36377934910953.328061551-533019.328061551
37640273350443.242934058289829.757065942
38697458371210.48746041326247.51253959
39550608602838.912589964-52230.9125899638
40207393367593.428314317-160200.428314317
41301607794175.592200152-492568.592200152
42345783328840.84176004116942.1582399590
43501749276009.565421245225739.434578755
44379983378721.4017042761261.5982957237
4538747532389.1432055677355085.856794432
4637730583106.1801522993294198.819847701
47370837534376.091792169-163539.091792169
48430866591795.055993165-160929.055993165
49469107236190.599987446232916.400012554
50194493-14708.1249103702209201.124910370


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9965073641560430.006985271687913620.00349263584395681
90.9999999155757471.68848505856559e-078.44242529282793e-08
100.9999999999621757.56497392957813e-113.78248696478907e-11
110.9999999999211751.57649079762029e-107.88245398810143e-11
120.9999999999075061.84987113470480e-109.24935567352399e-11
130.9999999999883642.327196614098e-111.163598307049e-11
140.9999999999994281.14480665504541e-125.72403327522705e-13
150.9999999999987752.44957312459637e-121.22478656229818e-12
160.9999999999995748.5281339558329e-134.26406697791645e-13
170.9999999999992481.50442013722568e-127.52210068612842e-13
180.999999999998542.92152805809135e-121.46076402904568e-12
190.9999999999993351.33023257481046e-126.65116287405231e-13
200.9999999999974735.05368201986704e-122.52684100993352e-12
210.9999999999987732.45336240116369e-121.22668120058185e-12
220.9999999999969536.09438168460284e-123.04719084230142e-12
230.9999999999838473.23059375217913e-111.61529687608957e-11
240.9999999999354341.29132475870623e-106.45662379353113e-11
250.9999999999675236.49539117069232e-113.24769558534616e-11
260.9999999999049931.90013328470725e-109.50066642353624e-11
270.9999999997341725.31656405211626e-102.65828202605813e-10
280.9999999999867952.64092849132215e-111.32046424566108e-11
290.9999999999665556.68891716037278e-113.34445858018639e-11
300.9999999998523162.95368350504495e-101.47684175252247e-10
310.9999999991594351.68113033363307e-098.40565166816536e-10
320.9999999948938421.02123164506304e-085.10615822531519e-09
330.9999999793197184.13605648519324e-082.06802824259662e-08
340.9999998666281762.66743647837215e-071.33371823918608e-07
350.9999993738971681.25220566479113e-066.26102832395563e-07
360.9999964962921537.00741569405198e-063.50370784702599e-06
370.9999860637024492.78725951024098e-051.39362975512049e-05
380.999985143118212.97137635789386e-051.48568817894693e-05
390.9999313739978670.0001372520042663266.8626002133163e-05
400.9997408551899070.000518289620187010.000259144810093505
410.9994112351069420.001177529786116040.000588764893058021
420.995714661898580.008570676202840530.00428533810142026


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level351NOK
5% type I error level351NOK
10% type I error level351NOK