Multiple Linear Regression - Estimated Regression Equation
Goudprijs[t] = + 11304.0230769231 + 752.041239316241M1[t] + 1223.08632478633M2[t] + 514.464743589744M3[t] -209.323504273505M4[t] -56.2784188034196M5[t] -47.9000000000008M6[t] -523.521581196582M7[t] -309.809829059829M8[t] + 285.568589743589M9[t] -260.219658119658M10[t] + 82.3215811965806M11[t] + 444.121581196581t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11304.02307692311151.514079.816700
M1752.0412393162411407.1107250.53450.5951040.297552
M21223.086324786331406.4970850.86960.3881680.194084
M3514.4647435897441406.0196240.36590.7157930.357897
M4-209.3235042735051405.678482-0.14890.8821480.441074
M5-56.27841880341961405.473756-0.040.9681990.4841
M6-47.90000000000081405.405508-0.03410.972930.486465
M7-523.5215811965821405.473756-0.37250.7109110.355456
M8-309.8098290598291405.678482-0.22040.8263480.413174
M9285.5685897435891406.0196240.20310.8397770.419888
M10-260.2196581196581406.497085-0.1850.8538760.426938
M1182.32158119658061467.9635220.05610.9554750.477738
t444.12158119658113.85056232.065200


Multiple Linear Regression - Regression Statistics
Multiple R0.973652621189918
R-squared0.947999426749998
Adjusted R-squared0.937051937644734
F-TEST (value)86.5951468537376
F-TEST (DF numerator)12
F-TEST (DF denominator)57
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2320.95080897728
Sum Squared Residuals307048321.488461


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11557912500.18589743593078.81410256412
21634813415.35256410262932.64743589744
31592813150.85256410262777.14743589744
41617112871.18589743593299.8141025641
51593713468.35256410262468.64743589744
61571313920.85256410261792.14743589744
71559413889.35256410261704.64743589743
81568314547.18589743591135.8141025641
91643815586.6858974359851.314102564104
101703215485.01923076921546.98076923077
111769616271.68205128211424.31794871795
121774516633.48205128211111.51794871795
131939417829.64487179491564.35512820512
142014818744.81153846151403.18846153846
152010818480.31153846151627.68846153846
161858418200.6448717949383.355128205128
171844118797.8115384615-356.811538461538
181839119250.3115384615-859.311538461538
191917819218.8115384615-40.8115384615384
201807919876.6448717949-1797.64487179487
211848320916.1448717949-2433.14487179487
221964420814.4782051282-1170.47820512821
231919521601.141025641-2406.14102564103
241965021962.941025641-2312.94102564103
252083023159.1038461538-2329.10384615384
262359524074.2705128205-479.27051282051
272293723809.7705128205-872.770512820512
282181423530.1038461538-1716.10384615384
292192824127.2705128205-2199.27051282051
302177724579.7705128205-2802.77051282051
312138324548.2705128205-3165.27051282051
322146725206.1038461538-3739.10384615385
332205226245.6038461538-4193.60384615384
342268026143.9371794872-3463.93717948718
352432026930.6-2610.6
362497727292.4-2315.4
372520428488.5628205128-3284.56282051282
382573929403.7294871795-3664.72948717949
392643429139.2294871795-2705.22948717949
402752528859.5628205128-1334.56282051282
413069529456.72948717951238.27051282051
423243629909.22948717952526.77051282051
433016029877.7294871795282.270512820513
443023630535.5628205128-299.562820512822
453129331575.0628205128-282.062820512822
463107731473.3961538462-396.396153846154
473222632260.058974359-34.0589743589752
483386532621.8589743591243.14102564102
493281033818.0217948718-1008.0217948718
503224234733.1884615385-2491.18846153846
513270034468.6884615385-1768.68846153846
523281934189.0217948718-1370.0217948718
533394734786.1884615385-839.188461538464
543414835238.6884615385-1090.68846153846
553526135207.188461538553.8115384615368
563950635865.02179487183640.97820512821
574159136904.52179487184686.4782051282
583914836802.85512820512345.14487179487
594121637589.51794871793626.48205128205
604022537951.3179487182273.68205128205
614112639147.48076923081978.51923076923
624236240062.64743589742299.35256410256
634074039798.1474358974941.852564102564
644025639518.4807692308737.519230769231
653980440115.6474358974-311.647435897436
664100240568.1474358974433.852564102566
674170240536.64743589741165.35256410257
684225441194.48076923081059.51923076923
694360542233.98076923081371.01923076923
704327142132.31410256411138.6858974359


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.037415185275510.07483037055102010.96258481472449
170.02077737211925360.04155474423850720.979222627880746
180.008071879278704080.01614375855740820.991928120721296
190.002884447655145110.005768895310290220.997115552344855
200.001441056718650920.002882113437301840.998558943281349
210.0009778045326408460.001955609065281690.999022195467359
220.0003575651429151210.0007151302858302410.999642434857085
230.0004410007684146970.0008820015368293930.999558999231585
240.000229229452724280.000458458905448560.999770770547276
250.0001150888883878180.0002301777767756360.999884911111612
260.0001817755508844990.0003635511017689980.999818224449116
270.0001315561151975480.0002631122303950960.999868443884802
285.56772725140437e-050.0001113545450280870.999944322727486
292.14098245312174e-054.28196490624348e-050.999978590175469
307.3213666414169e-061.46427332828338e-050.999992678633359
312.57862180130299e-065.15724360260598e-060.999997421378199
321.05805199630444e-062.11610399260888e-060.999998941948004
337.31389298610785e-071.46277859722157e-060.999999268610701
342.92620566236304e-075.85241132472609e-070.999999707379434
359.69692270010304e-071.93938454002061e-060.99999903030773
364.71476526368011e-069.42953052736022e-060.999995285234736
373.13892508203878e-066.27785016407756e-060.999996861074918
382.24624536432413e-064.49249072864825e-060.999997753754636
391.14935880503572e-062.29871761007144e-060.999998850641195
401.22572670118625e-052.45145340237251e-050.999987742732988
410.01638594669496790.03277189338993580.983614053305032
420.4551636463828950.9103272927657890.544836353617105
430.5442233609539730.9115532780920540.455776639046027
440.5754269034259630.8491461931480740.424573096574037
450.6209189801643160.7581620396713680.379081019835684
460.5749179065986930.8501641868026140.425082093401307
470.6124866773315090.7750266453369810.387513322668491
480.5889560339441340.8220879321117320.411043966055866
490.5486427154246840.9027145691506320.451357284575316
500.7075132298744180.5849735402511640.292486770125582
510.7208886361553460.5582227276893080.279111363844654
520.7250309895577830.5499380208844350.274969010442217
530.6221229640936830.7557540718126340.377877035906317
540.6521846714695490.6956306570609020.347815328530451


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level220.564102564102564NOK
5% type I error level250.641025641025641NOK
10% type I error level260.666666666666667NOK