Multiple Linear Regression - Estimated Regression Equation
DowJones[t] = + 3294.69304179701 + 1902.00849170329Eonia[t] + 75.8419583730737deposits[t] -40.7278509972586`2JAAR`[t] -0.0314633513384605Goudkoers[t] + 19.7117420762761Brent[t] -859.836876632501gewrentevoet[t] + 5.39966362404075kasbons[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3294.693041797011695.7496281.94290.0573470.028673
Eonia1902.00849170329156.88105612.123900
deposits75.841958373073725.3995942.9860.0042720.002136
`2JAAR`-40.727850997258610.002704-4.07170.0001567.8e-05
Goudkoers-0.03146335133846050.056027-0.56160.5767720.288386
Brent19.71174207627615.8863053.34870.00150.00075
gewrentevoet-859.836876632501345.900734-2.48580.0161150.008057
kasbons5.399663624040751.2803364.21749.7e-054.8e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.921944437296067
R-squared0.849981545461161
Adjusted R-squared0.830167787314522
F-TEST (value)42.8985525699141
F-TEST (DF numerator)7
F-TEST (DF denominator)53
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation676.704973303932
Sum Squared Residuals24270269.9073966


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110554.2710528.673485796725.5965142033081
210532.5410561.767149073-29.2271490730023
310324.3110493.6990091934-169.389009193449
410695.2510380.5908230387314.65917696132
510827.8110989.0402471199-161.230247119897
610872.4811207.0833375583-334.603337558325
710971.1911069.4769875323-98.2869875323122
811145.6511436.0147278919-290.364727891915
911234.6811023.3500760797211.329923920305
1011333.8811613.3972523385-279.517252338512
1110997.9711955.837659555-957.867659555005
1211036.8911500.2286759272-463.338675927247
1311257.3511861.4299011712-604.079901171181
1411533.5911733.9043614078-200.314361407788
1511963.1211992.6149868671-29.494986867111
1612185.1512171.597660843113.5523391569473
1712377.6212453.7087195467-76.0887195467481
1812512.8912598.0402841931-85.1502841930693
1912631.4812246.4840552193384.995944780666
2012268.5312543.9667949287-275.436794928708
2112754.812793.0621733485-38.2621733485098
2213407.7513278.1457988788129.6042011212
2313480.2113187.6798302622292.530169737786
2413673.2812909.3965343773763.883465622682
2513239.7112631.2063680423608.503631957706
2613557.6912347.91905631411209.77094368588
2713901.2812006.87551828371894.4044817163
2813200.5812588.5994010953611.980598904663
2913406.9712237.82197639131169.14802360868
3012538.1212587.9431892655-49.82318926547
3112419.5712397.630573010721.9394269892975
3212193.8812969.1044047922-775.224404792186
3312656.6312642.936230189413.6937698105921
3412812.4812886.1446702486-73.6646702485682
3512056.6712340.5011832486-283.831183248593
3611322.3811938.3219296858-615.94192968583
3711530.7511380.0514826364150.698517363592
3811114.0812164.0521395884-1049.97213958838
399181.7310593.2814057205-1411.55140572055
408614.559410.4667686929-795.916768692905
418595.568174.04321224578421.516787754221
428396.27274.743101895321121.45689810468
437690.58028.02975046156-337.529750461559
447235.478290.09460984531-1054.62460984531
457992.127896.3040277906395.8159722093657
468398.3710020.8744525515-1622.5044525515
4785939430.3145697153-837.314569715294
488679.758391.92749340474287.822506595261
499374.638677.5817127196697.048287280401
509634.979520.5760951533114.393904846689
519857.349742.59832944376114.741670556242
5210238.8310375.3727019946-136.542701994567
5310433.449878.14278372166555.29721627834
5410471.249867.4113426894603.828657310608
5510214.519723.24523136488491.264768635117
5610677.529975.25099015872702.269009841283
5711052.1510176.0831431029876.06685689712
5810500.1910573.1096162135-72.9196162134961
5910159.2710893.3075441308-734.03754413081
6010222.2410178.386432934843.8535670651953
6110350.410348.01602910762.38397089234955


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.0086953359219630.0173906718439260.991304664078037
120.002509473332932140.005018946665864280.997490526667068
130.0005704009373347470.001140801874669490.999429599062665
140.0001316016005831730.0002632032011663470.999868398399417
152.61510263608374e-055.23020527216747e-050.999973848973639
164.60673042409094e-059.21346084818188e-050.99995393269576
172.38337896278801e-054.76675792557602e-050.999976166210372
182.40889505652024e-054.81779011304049e-050.999975911049435
192.49538186387101e-054.99076372774203e-050.999975046181361
203.77314338137755e-057.5462867627551e-050.999962268566186
217.84173641128795e-050.0001568347282257590.999921582635887
220.0005213395213629670.001042679042725930.999478660478637
230.001546103563624280.003092207127248550.998453896436376
240.002937895803587490.005875791607174970.997062104196413
250.003098318612833020.006196637225666040.996901681387167
260.003083564652338210.006167129304676420.996916435347662
270.008214432417240020.016428864834480.99178556758276
280.01341153585758210.02682307171516410.986588464142418
290.02903977081731990.05807954163463980.97096022918268
300.02889195570131290.05778391140262580.971108044298687
310.02498254323775080.04996508647550170.97501745676225
320.02035455695224860.04070911390449710.979645443047751
330.01622011046096350.0324402209219270.983779889539037
340.0789673566848020.1579347133696040.921032643315198
350.109397235845150.21879447169030.89060276415485
360.186916858148460.3738337162969190.81308314185154
370.1782265767193670.3564531534387340.821773423280633
380.51114064824050.9777187035190.4888593517595
390.8329499638049070.3341000723901860.167050036195093
400.7914775779995910.4170448440008170.208522422000409
410.7385713748744370.5228572502511260.261428625125563
420.9432107733805580.1135784532388850.0567892266194424
430.9857287290211360.02854254195772820.0142712709788641
440.9749714073927740.05005718521445220.0250285926072261
450.9978777073892020.004244585221596170.00212229261079808
460.9996273695689260.0007452608621477770.000372630431073889
470.9996610698806920.0006778602386162650.000338930119308133
480.9987465796980730.002506840603853770.00125342030192689
490.9994271851588870.001145629682225980.000572814841112992
500.9959729167976430.008054166404713740.00402708320235687


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level210.525NOK
5% type I error level280.7NOK
10% type I error level310.775NOK