Multiple Linear Regression - Estimated Regression Equation
Veilingprijs[t] = -1294.17091541916 + 12.7663504041186Ouderdom[t] + 87.9087250789109Aantalaanbieders[t] -18.0406873439489Q1[t] -30.5880195495833Q2[t] -79.9887827172398Q3[t] -2.12137332020945t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1294.17091541916210.330109-6.1532e-061e-06
Ouderdom12.76635040411860.98112713.011900
Aantalaanbieders87.908725078910910.3926078.458800
Q1-18.040687343948972.408523-0.24920.8052790.40264
Q2-30.588019549583369.606611-0.43940.6641170.332058
Q3-79.988782717239873.647076-1.08610.2877930.143896
t-2.121373320209452.844315-0.74580.4627260.231363


Multiple Linear Regression - Regression Statistics
Multiple R0.948982856656472
R-squared0.900568462227878
Adjusted R-squared0.876704893162569
F-TEST (value)37.7382134149012
F-TEST (DF numerator)6
F-TEST (DF denominator)25
p-value2.37605490838178e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation138.166631422712
Sum Squared Residuals477250.450967485


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112351449.80695126559-214.806951265586
210801194.03331581141-114.033315811407
3845856.16375877841-11.1637587784099
415221403.47467762799118.52532237201
510471196.18454415181-149.184544151811
619791952.9845745276126.0154254723945
718221657.44605261157164.553947388434
812531253.10360215193-0.103602151928191
912971208.8645684294588.135431570548
10946887.80345320476158.1965467952386
1117131670.1260768892142.8739231107923
1210241141.03157788822-117.031577888222
1311471112.470350069734.5296499302967
1410921126.24580085194-34.2458008519355
1511521230.49612536818-78.4961253681757
1613361159.53451316554176.465486834459
1721312052.7267705982578.2732294017547
1815501663.80191944836-113.801919448359
1918841620.67895011485263.321049885146
2020411891.49734332358149.502656676417
21845996.280015774918-151.280015774918
2214831449.599091951733.4009080482956
2310551186.53671024834-131.536710248343
2415451592.29724624786-47.2972462478557
25729540.972258349928188.027741650072
2617921696.4406067532495.5593932467612
2711751304.25899325877-129.258993258773
2815931737.00795781644-144.007957816441
29785658.694541360357126.305458639643
30744695.09123745098848.9087625490121
3113561476.29333273067-120.293332730671
3212621398.05308177844-136.053081778439


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.3275499650601540.6550999301203080.672450034939846
110.2867525424852090.5735050849704180.713247457514791
120.3657611359181620.7315222718363240.634238864081838
130.2379789507934310.4759579015868630.762021049206569
140.2221715129097970.4443430258195950.777828487090203
150.207336672710310.4146733454206190.79266332728969
160.1697820312458350.339564062491670.830217968754165
170.09650769357561430.1930153871512290.903492306424386
180.1768708330697230.3537416661394460.823129166930277
190.3294046214164420.6588092428328830.670595378583558
200.5090621658964220.9818756682071560.490937834103578
210.9694942103788090.06101157924238120.0305057896211906
220.9709694336627060.05806113267458830.0290305663372942


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level20.153846153846154NOK