Multiple Linear Regression - Estimated Regression Equation
prijs[t] = -127617.086150857 -63.4772827610344`mē`[t] + 32050.7901479334kamers[t] + 0.179850703509876inkomens[t] + 646.101865625482aantrekkelijkheid[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-127617.08615085731066.941998-4.10780.0001276.3e-05
`mē`-63.4772827610344217.587233-0.29170.7715320.385766
kamers32050.79014793347936.2649144.03850.000168e-05
inkomens0.1798507035098760.034695.18443e-061e-06
aantrekkelijkheid646.1018656254824327.0157170.14930.8818210.44091


Multiple Linear Regression - Regression Statistics
Multiple R0.989843046386521
R-squared0.979789256479748
Adjusted R-squared0.978395412099041
F-TEST (value)702.940206268035
F-TEST (DF numerator)4
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation24356.5429960246
Sum Squared Residuals34407988829.5974


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12e+05194636.3060003235363.69399967686
2150000131517.13259370818482.8674062922
33e+05347813.273226559-47813.2732265591
45e+05499614.883349842385.116650157799
5250000252834.632989109-2834.6329891088
66e+05566807.17441205933192.8255879413
71e+0597491.45816247752508.54183752247
82e+05194636.3060003235363.69399967696
9150000131517.13259370818482.8674062924
103e+05347813.273226559-47813.2732265591
115e+05499614.883349842385.116650157835
122e+05194636.3060003235363.69399967696
13150000131517.13259370818482.8674062924
143e+05347813.273226559-47813.2732265591
155e+05499614.883349842385.116650157835
162e+05194636.3060003235363.69399967696
17150000131517.13259370818482.8674062924
183e+05347813.273226559-47813.2732265591
195e+05499614.883349842385.116650157835
20250000252834.632989109-2834.6329891088
216e+05566807.17441205933192.8255879413
221e+0597491.45816247752508.54183752247
232e+05194636.3060003235363.69399967696
24150000131517.13259370818482.8674062924
253e+05347813.273226559-47813.2732265591
265e+05499614.883349842385.116650157835
27250000252834.632989109-2834.6329891088
286e+05566807.17441205933192.8255879413
291e+0597491.45816247752508.54183752247
302e+05194636.3060003235363.69399967696
31150000131517.13259370818482.8674062924
323e+05347813.273226559-47813.2732265591
335e+05499614.883349842385.116650157835
34250000252834.632989109-2834.6329891088
356e+05566807.17441205933192.8255879413
361e+0597491.45816247752508.54183752247
372e+05194636.3060003235363.69399967696
38150000131517.13259370818482.8674062924
393e+05347813.273226559-47813.2732265591
405e+05499614.883349842385.116650157835
412e+05194636.3060003235363.69399967696
42150000131517.13259370818482.8674062924
433e+05347813.273226559-47813.2732265591
445e+05499614.883349842385.116650157835
452e+05194636.3060003235363.69399967696
46150000131517.13259370818482.8674062924
473e+05347813.273226559-47813.2732265591
485e+05499614.883349842385.116650157835
49250000252834.632989109-2834.6329891088
506e+05566807.17441205933192.8255879413
511e+0597491.45816247752508.54183752247
522e+05194636.3060003235363.69399967696
53150000131517.13259370818482.8674062924
543e+05347813.273226559-47813.2732265591
555e+05499614.883349842385.116650157835
56250000252834.632989109-2834.6329891088
576e+05566807.17441205933192.8255879413
581e+0597491.45816247752508.54183752247
595e+05499614.883349842385.116650157835
60250000252834.632989109-2834.6329891088
616e+05566807.17441205933192.8255879413
621e+0597491.45816247752508.54183752247
632e+05194636.3060003235363.69399967696


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.8774966108608750.2450067782782490.122503389139124
90.8120082886546260.3759834226907470.187991711345374
100.9263816902169230.1472366195661550.0736183097830774
110.8733415474424130.2533169051151750.126658452557587
120.804689965642690.390620068714620.19531003435731
130.7503288805177860.4993422389644270.249671119482214
140.8567459548636070.2865080902727860.143254045136393
150.7926437066457130.4147125867085740.207356293354287
160.7184046817916910.5631906364166170.281595318208309
170.6655642593478280.6688714813043440.334435740652172
180.7772604151680760.4454791696638480.222739584831924
190.7052432462765510.5895135074468980.294756753723449
200.6265851861437920.7468296277124160.373414813856208
210.784231151167120.431537697665760.21576884883288
220.7187132493446560.5625735013106890.281286750655344
230.6474518026026920.7050963947946160.352548197397308
240.6059690852502840.7880618294994320.394030914749716
250.7613737350348030.4772525299303930.238626264965197
260.6947960577156740.6104078845686510.305203942284326
270.6224108554767780.7551782890464430.377589144523222
280.697658121972190.6046837560556190.30234187802781
290.6261217386566260.7477565226867470.373878261343374
300.5526367184223430.8947265631553140.447363281577657
310.5149979116930260.9700041766139480.485002088306974
320.7010277562722780.5979444874554430.298972243727722
330.6291380537710420.7417238924579150.370861946228958
340.5531843970514380.8936312058971240.446815602948562
350.6029237617587740.7941524764824520.397076238241226
360.5249813260697570.9500373478604860.475018673930243
370.4484168786054250.896833757210850.551583121394575
380.4122962675569660.8245925351139310.587703732443034
390.6203900865488620.7592198269022750.379609913451138
400.5390320891905140.9219358216189710.460967910809486
410.4591404684760230.9182809369520460.540859531523977
420.426119549820790.852239099641580.57388045017921
430.6806431127230970.6387137745538060.319356887276903
440.596249385722790.8075012285544210.40375061427721
450.510612618776350.9787747624472990.48938738122365
460.4869469783327540.9738939566655070.513053021667246
470.8291570317545790.3416859364908420.170842968245421
480.7541250133621120.4917499732757750.245874986637888
490.661844712325350.67631057534930.33815528767465
500.6191814022339370.7616371955321260.380818597766063
510.5036071858695780.9927856282608440.496392814130422
520.3878904907312220.7757809814624440.612109509268778
530.3887985204833020.7775970409666040.611201479516698
5412.52786989100649e-601.26393494550325e-60
5511.71118930524466e-458.55594652622328e-46


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0416666666666667NOK
5% type I error level20.0416666666666667OK
10% type I error level20.0416666666666667OK