Multiple Linear Regression - Estimated Regression Equation
bouwvergunningen[t] = + 237.971793178587 + 25.7542263149501werkloosheidsgraad[t] + 1.88597061814349uitvoer[t] -0.00227350662039262personenwagens[t] + 8.29566164668731rentetarieven[t] + 9.21572692390918M1[t] + 13.5354922947158M2[t] -1.57427563192264M3[t] -31.1339507305121M4[t] -46.6082513188682M5[t] + 7.67238241414198M6[t] -28.0895505103339M7[t] + 19.2118224859873M8[t] -4.03455206182543M9[t] + 9.3662944115171M10[t] + 49.1919666548201M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)237.97179317858792.7293542.56630.0137590.00688
werkloosheidsgraad25.754226314950113.195491.95170.0573520.028676
uitvoer1.885970618143490.7066132.6690.0106130.005307
personenwagens-0.002273506620392620.001807-1.25790.2150720.107536
rentetarieven8.295661646687314.8446411.71230.0938750.046937
M19.2157269239091821.260260.43350.666790.333395
M213.535492294715820.4341220.66240.5111720.255586
M3-1.5742756319226422.040462-0.07140.9433820.471691
M4-31.133950730512123.545389-1.32230.1929030.096451
M5-46.608251318868223.457321-1.98690.0531780.026589
M67.6723824141419829.3605710.26130.7950680.397534
M7-28.089550510333926.150712-1.07410.2886150.144307
M819.211822485987322.4099380.85730.395930.197965
M9-4.0345520618254322.907178-0.17610.8610030.430502
M109.366294411517120.4325560.45840.6489210.32446
M1149.191966654820120.5897272.38920.021240.01062


Multiple Linear Regression - Regression Statistics
Multiple R0.775310551301425
R-squared0.601106450959319
Adjusted R-squared0.465120013786359
F-TEST (value)4.42034120060649
F-TEST (DF numerator)15
F-TEST (DF denominator)44
p-value5.7397316786556e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation32.2267321676143
Sum Squared Residuals45696.7397129383


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1426404.63621782991521.3637821700848
2396422.246754497163-26.2467544971627
3458422.84712529279435.1528747072063
4315348.660833161214-33.6608331612144
5337330.5892511952826.41074880471785
6386382.3150278440593.68497215594094
7352340.69055324701711.3094467529835
8384402.821489989768-18.8214899897676
9439381.16119192806357.8388080719369
10397414.612540625609-17.6125406256094
11453461.752039248019-8.75203924801866
12364404.110645100015-40.1106451000147
13367404.579813363483-37.5798133634831
14474416.6815006126757.3184993873302
15373404.951995827925-31.9519958279247
16404344.96696369514159.0330363048586
17385330.75899653385954.2410034661413
18365372.348152554951-7.34815255495088
19366335.81002690052330.189973099477
20421390.36473213962330.6352678603766
21354361.199557761107-7.19955776110677
22367385.781940894538-18.7819408945377
23413429.842085898454-16.8420858984537
24362372.927433204873-10.9274332048728
25385371.73675504217313.2632449578267
26343386.414572156792-43.4145721567918
27369387.371304912436-18.3713049124356
28363336.74934547212126.2506545278786
29318331.771246370729-13.7712463707291
30393370.45561046554522.544389534455
31325346.083203573188-21.0832035731876
32403410.514394855084-7.51439485508391
33392387.6581133345744.34188666542627
34409422.845587996822-13.8455879968218
35485464.18110680781820.818893192182
36423421.0643959897961.93560401020407
37428421.0184070770136.98159292298722
38431428.7901580264162.20984197358404
39416419.325030590534-3.32503059053442
40330353.71740592346-23.7174059234605
41314332.35026501244-18.3502650124404
42345374.367175213587-29.3671752135871
43365351.75456518392913.2454348160711
44417396.47168906661120.5283109333887
45356382.094796995242-26.0947969952421
46477415.24617877987161.7538212201288
47423449.238656961316-26.2386569613162
48386391.945056575877-5.94505657587736
49390394.028806687416-4.02880668741567
50407396.8670147069610.1329852930402
51398379.50454337631218.4954566236884
52327354.905451748062-27.9054517480624
53304332.53024088769-28.5302408876896
54378367.51403392185810.485966078142
55311344.661651095344-33.661651095344
56376400.827693948914-24.8276939489139
57340368.886339981014-28.8863399810143
58383394.51375170316-11.5137517031599
59467435.98611108439331.0138889156065
60439383.95246912943955.0475308705609


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.772257888595830.4554842228083410.22774211140417
200.9109851075683340.1780297848633330.0890148924316665
210.8557358142718530.2885283714562940.144264185728147
220.9224508485360520.1550983029278960.0775491514639478
230.9030140093703090.1939719812593830.0969859906296913
240.9109953264432910.1780093471134170.0890046735567086
250.8743374385749850.2513251228500310.125662561425015
260.8779985203055480.2440029593889030.122001479694452
270.8451636313970460.3096727372059070.154836368602954
280.8049063793778690.3901872412442620.195093620622131
290.7680468323225150.4639063353549710.231953167677485
300.7965242059473980.4069515881052050.203475794052602
310.7476399025705890.5047201948588220.252360097429411
320.651720761862370.696558476275260.34827923813763
330.6557352991104840.6885294017790320.344264700889516
340.560652979923440.878694040153120.43934702007656
350.5440327727865550.9119344544268890.455967227213445
360.4280857351294990.8561714702589990.571914264870501
370.3654811450908150.7309622901816310.634518854909185
380.272661667742710.5453233354854210.727338332257289
390.1829038176266290.3658076352532570.817096182373371
400.1855373510117870.3710747020235740.814462648988213
410.2619900107470.5239800214940.738009989253


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