Multiple Linear Regression - Estimated Regression Equation
veilingprijs [t] = -921.502782614554 + 11.0866531238829ouderdom[t] + 64.0268585413019aanbieders[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-921.502782614554258.686341-3.56220.0012940.000647
ouderdom11.08665312388291.3465558.233300
aanbieders64.026858541301912.9909484.92863.1e-051.5e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.851393202809875
R-squared0.724870385790857
Adjusted R-squared0.705895929638502
F-TEST (value)38.202432784926
F-TEST (DF numerator)2
F-TEST (DF denominator)29
p-value7.46949802010732e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation198.669613553321
Sum Squared Residuals1144618.84513335


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112351318.85132515549-83.8513251554931
210801121.7846291276-41.7846291275962
3845934.690173907681-89.6901739076809
415221317.73691283959204.26308716041
510471192.17625595898-145.176255958982
619791800.56352988645178.436470113555
718221576.33740720679245.662592793207
812531182.20401515170.7959848489992
912971173.61042222911123.389577770887
10946907.53074725592538.4692527440752
1117131557.77157347692155.228426523075
1210241079.93107683406-55.93107683406
1311471109.5835636878137.4164363121887
1410921158.91629658733-66.9162965873331
1511521207.98479391666-55.9847939166638
1613361115.6840964077220.315903592296
1711311859.60426802376-728.604268023757
1815501608.48295426254-58.4829542625396
1918841578.83046740879305.169532591212
2020411758.70997759291282.290022407091
218451048.0497653485-203.049765348505
2214831417.5167909545465.4832090454641
2310551172.23177434302-117.23177434302
2415451530.8763823953614.1236176046403
25729660.01690601260568.9830939873952
2617921639.24985343219152.750146567807
2711751269.51859225597-94.5185922559705
2815931663.91621988195-70.9162198819539
29785757.30372392555527.6962760744447
30744801.650336421087-57.6503364210867
3113561549.44221612523-193.442216125228
3212621389.24295198688-127.242951986878


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.2794233330750330.5588466661500660.720576666924967
70.2151571406212380.4303142812424750.784842859378762
80.1311073494513130.2622146989026260.868892650548687
90.0973153653347330.1946307306694660.902684634665267
100.06301934655875580.1260386931175120.936980653441244
110.03578170311616080.07156340623232170.964218296883839
120.01768464723316880.03536929446633750.982315352766831
130.007874030078967490.0157480601579350.992125969921033
140.003928660564760160.007857321129520330.99607133943524
150.002020492477975590.004040984955951180.997979507522024
160.004975120667776970.009950241335553930.995024879332223
170.9101857542818620.1796284914362750.0898142457181377
180.8618751630985640.2762496738028710.138124836901436
190.9281965623138810.1436068753722380.0718034376861191
200.9760047250202960.04799054995940710.0239952749797035
210.9794738348569730.04105233028605340.0205261651430267
220.9664394207582510.06712115848349840.0335605792417492
230.9396809336195970.1206381327608050.0603190663804026
240.8866000591575950.226799881684810.113399940842405
250.8123201638593860.3753596722812290.187679836140614
260.9627436905461330.07451261890773340.0372563094538667


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.142857142857143NOK
5% type I error level70.333333333333333NOK
10% type I error level100.476190476190476NOK