Multiple Linear Regression - Estimated Regression Equation
Bewoonbareopp[t] = -5.67046259550761 + 0.137285102691268Huurprijs[t] + 14.8450455533362Slaapkamers[t] -12.2215844419713Terras[t] + 3.47547927851639Garage[t] -8.17900748560341Nieuwbouw[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-5.6704625955076116.156965-0.3510.7273310.363666
Huurprijs0.1372851026912680.031384.37497.6e-053.8e-05
Slaapkamers14.84504555333625.9422662.49820.0163850.008192
Terras-12.22158444197137.584623-1.61140.1144180.057209
Garage3.475479278516393.5421260.98120.331990.165995
Nieuwbouw-8.179007485603416.93058-1.18010.2444350.122217


Multiple Linear Regression - Regression Statistics
Multiple R0.754739307243435
R-squared0.5696314218983
Adjusted R-squared0.519588563979497
F-TEST (value)11.3828715143040
F-TEST (DF numerator)5
F-TEST (DF denominator)43
p-value4.94771190018284e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation20.6986735197444
Sum Squared Residuals18422.7086755096


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
16089.230052289517-29.2300522895171
26769.7141029422292-2.71410294222919
39190.78032982790720.219670172092798
415091.632347995058758.3676520049413
5110119.397237361605-9.39723736160492
68699.805311889947-13.8053118899470
786105.075937774886-19.0759377748855
8145124.26031463167220.7396853683281
9150135.78474626208814.2152537379124
108589.4508305122292-4.45083051222923
1110092.19653256605467.80346743394542
128499.5264349913622-15.5264349913622
139494.1691056839542-0.169105683954195
14149109.86616940444239.1338305955581
15105124.202215955799-19.2022159557993
16106107.211190439625-1.21119043962463
17132125.4883635602436.51163643975744
18130121.7128296446778.28717035532286
19165136.55787519801328.4421248019866
20127127.262332428201-0.262332428200508
21119120.311373871168-1.31137387116772
22126145.539505548818-19.5395055488184
23133134.126587562764-1.12658756276389
248988.77915196341080.220848036589164
25147130.43814425277916.5618557472210
265956.73011686243142.26988313756857
275873.0702543851408-15.0702543851408
285673.0702543851408-17.0702543851408
2990100.433638727531-10.4336387275306
308078.0093077795781.99069222042207
31135126.0988129493298.9011870506712
32125115.4009252233279.59907477667266
338074.94919130717675.05080869282329
3410096.32983261143063.67016738856944
357692.8543533329142-16.8543533329142
366565.6389015727259-0.638901572725882
377588.0346277740819-13.0346277740818
389589.50892918810195.49107081189812
398596.3298326114306-11.3298326114306
4010678.00930777957827.9906922204221
41135123.74350143844911.2564985615506
429587.95865164971187.04134835028825
4360104.552191808269-44.5521918082687
44112110.7881201052481.21187989475162
45150110.05834288055739.9416571194427
46100127.070158952085-27.0701589520851
47125117.5656718173427.43432818265764
48100147.168672318434-47.1686723184343
49150142.1073779815377.89262201846325


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.6395350371896420.7209299256207150.360464962810358
100.4742285923171220.9484571846342450.525771407682878
110.3318116383009850.663623276601970.668188361699015
120.2331134062426430.4662268124852860.766886593757357
130.1718119731727000.3436239463453990.8281880268273
140.2240109234306960.4480218468613920.775989076569304
150.4027288599758480.8054577199516960.597271140024152
160.3598928709909390.7197857419818790.64010712900906
170.3183090376127560.6366180752255110.681690962387244
180.5371399722647970.9257200554704060.462860027735203
190.5612209142608160.8775581714783680.438779085739184
200.5748934363768370.8502131272463270.425106563623163
210.4789098013396130.9578196026792250.521090198660387
220.5195638052670910.9608723894658170.480436194732909
230.4693722373627040.9387444747254070.530627762637296
240.4463405149062150.892681029812430.553659485093785
250.434928052241240.869856104482480.56507194775876
260.384688418950920.769376837901840.61531158104908
270.3401327600397220.6802655200794440.659867239960278
280.3656297581799900.7312595163599810.63437024182001
290.3267313061708560.6534626123417130.673268693829144
300.2644786557348930.5289573114697860.735521344265107
310.2237209277503340.4474418555006680.776279072249666
320.2555626838723380.5111253677446760.744437316127662
330.1965344137063650.3930688274127290.803465586293635
340.1368404244897020.2736808489794040.863159575510298
350.2482968411729240.4965936823458470.751703158827076
360.1930298064075090.3860596128150170.806970193592491
370.1279099543676050.2558199087352110.872090045632395
380.07626288740269750.1525257748053950.923737112597303
390.0937741904669380.1875483809338760.906225809533062
400.0754300865308880.1508601730617760.924569913469112


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 level00OK