Multiple Linear Regression - Estimated Regression Equation
Aantal_vergunningen[t] = + 344.887869993583 + 3.76409610200597Inflatie[t] -3.84537741374636M1[t] -18.0371380544264M2[t] + 47.4664177811533M3[t] + 22.0918876512202M4[t] + 35.4001270105402M5[t] + 72.1707254088401M6[t] + 24.1797165602670M7[t] + 20.2301127688160M8[t] + 41.6634867271404M9[t] + 49.6968606854647M10[t] -2.03111858200344M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)344.88786999358317.13008420.133500
Inflatie3.764096102005972.7466411.37040.1762210.088111
M1-3.8453774137463621.837745-0.17610.8608830.430442
M2-18.037138054426421.837882-0.8260.4124630.206232
M347.466417781153321.839152.17350.034150.017075
M422.091887651220221.8381171.01160.3162310.158116
M535.400127010540221.8382931.6210.1108410.05542
M672.170725408840121.8387993.30470.0016930.000846
M724.179716560267021.8376231.10730.2730940.136547
M820.230112768816022.8082190.8870.3790310.189515
M941.663486727140422.8090181.82660.0732860.036643
M1049.696860685464722.8110892.17860.0337430.016872
M11-2.0311185820034422.809796-0.0890.9293750.464687


Multiple Linear Regression - Regression Statistics
Multiple R0.63324623870236
R-squared0.401000798830687
Adjusted R-squared0.267889865237506
F-TEST (value)3.01253088687848
F-TEST (DF numerator)12
F-TEST (DF denominator)54
p-value0.00271853806529065
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation36.0629432196610
Sum Squared Residuals70228.9371778828


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1300349.549349770371-49.5493497703707
2302336.524458921312-34.5244589213124
3400403.910062807895-3.91006280789517
4392377.3686628863414.6313371136598
5373389.735878220159-16.7358782201586
6379427.861551215181-48.8615512151807
7303380.886848314149-77.8868483141492
8324376.824321639638-52.8243216396381
9353398.445900403063-45.4459004030628
10392403.882048051003-11.8820480510030
11327352.530478393735-25.5304783937354
12376355.76610772838120.2338922716193
13329350.942065328113-21.9420653281128
14359335.80928066193123.1907193380687
15413398.71561018712714.2843898128731
16338374.357386004735-36.3573860047354
17422388.53136746751733.4686325324833
18390424.097455113175-34.0974551131747
19370375.09014031706-5.09014031706005
20367371.253459408669-4.25345940866923
21406391.14355396517114.8564460348288
22418399.13928696247518.8607130375245
23346348.465254603569-2.46525460356892
24350351.060987600873-1.06098760087327
25330347.290892109167-17.290892109167
26318333.513182039708-15.5131820397076
27382399.204942680388-17.2049426803877
28337373.679848706374-36.6798487063743
29372385.106040014691-13.1060400146913
30422421.9142793740110.0857206259887766
31428374.22439821359953.7756017864013
32426369.33377039664656.6662296033538
33396392.2351418347533.76485816524712
34458403.01630594754254.9836940524584
35315353.923193951478-38.9231939514776
36337356.518926948782-19.5189269487819
37386354.06626509277831.9337349072222
38352340.55204175045911.4479582495412
39383408.878669662543-25.8786696625430
40439382.60075646812956.3992435318715
41397399.898937695575-2.89893769557475
42453438.89035279405814.1096472059418
43363391.313394516706-28.3133945167058
44365385.406460752212-20.4064607522117
45474407.10332143767666.8966785623235
46373412.351264280516-39.3512642805164
47403354.67601317187948.3239868281212
48384354.78744274185929.2125572581408
49364349.77519553649114.2248044635090
50361334.11543741602926.8845625839714
51419394.68802735798124.3119726420195
52352369.238215306007-17.2382153060072
53363378.895281446381-15.8952814463814
54410412.918089690217-2.91808969021696
55361362.743905102480-1.74390510248044
56383362.18198780283520.8180121971652
57342382.072082359337-40.0720823593368
58369391.611094758463-22.6110947584635
59361342.40505987933918.5949401206607
60317345.866534980105-28.866534980105
61386343.37623216308142.6237678369192
62318329.485599210561-11.4855992105612
63407398.6026873040678.39731269593327
64393373.75513062841419.2448693715856
65404388.83249515567715.1675048443228
66498426.31827181335871.6817281866418
67438378.74131353600659.2586864639942


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.599086122215230.801827755569540.40091387778477
170.5983534048833130.8032931902333750.401646595116687
180.4876960614752540.9753921229505080.512303938524746
190.5017943547597250.996411290480550.498205645240275
200.392462733196680.784925466393360.60753726680332
210.2869322911786570.5738645823573150.713067708821343
220.2000265990255820.4000531980511650.799973400974418
230.1311547417693570.2623094835387150.868845258230643
240.1401694205589220.2803388411178430.859830579441078
250.1019661915761940.2039323831523880.898033808423806
260.07853746151145250.1570749230229050.921462538488548
270.06814857288547030.1362971457709410.93185142711453
280.07697075619146640.1539415123829330.923029243808534
290.07090102678598130.1418020535719630.929098973214019
300.05481381662168030.1096276332433610.94518618337832
310.1351832953923890.2703665907847790.86481670460761
320.1884387008909830.3768774017819660.811561299109017
330.1341101813536310.2682203627072610.86588981864637
340.2618571501742890.5237143003485780.738142849825711
350.3098854084002680.6197708168005370.690114591599732
360.2493351363214570.4986702726429140.750664863678543
370.373172673737910.746345347475820.62682732626209
380.3333650119261170.6667300238522340.666634988073883
390.3211372467088660.6422744934177320.678862753291134
400.4927712356098450.985542471219690.507228764390155
410.4098091975843040.8196183951686080.590190802415696
420.4118127048552080.8236254097104170.588187295144792
430.5964840095783010.8070319808433980.403515990421699
440.8214313207018780.3571373585962450.178568679298122
450.8557045717606460.2885908564787090.144295428239354
460.968614895344240.06277020931151830.0313851046557592
470.9556027350332330.08879452993353320.0443972649667666
480.929787950155330.1404240996893410.0702120498446703
490.9759556195829380.04808876083412340.0240443804170617
500.9528321604260820.0943356791478370.0471678395739185
510.9621750812517880.07564983749642380.0378249187482119


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0277777777777778OK
10% type I error level50.138888888888889NOK