Multiple Linear Regression - Estimated Regression Equation
Gem_Graden[t] = + 12.8237912538522 + 0.507963376925985Gem_Fietsers[t] -0.450640823263281`Aantal_Mannen `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)12.82379125385220.80627115.905100
Gem_Fietsers0.5079633769259850.0793876.398500
`Aantal_Mannen `-0.4506408232632810.100708-4.47473.7e-051.9e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.799622716864037
R-squared0.639396489325023
Adjusted R-squared0.626743734564498
F-TEST (value)50.534172314778
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value2.37365682664858e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.1647537053454
Sum Squared Residuals267.111040473978


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11517.3698975166768-2.36989751667677
21617.9351834472655-1.93518344726548
31516.3539707628248-1.35397076282483
41415.6740397249107-1.67403972491073
51315.5593946175853-2.55939461758532
61617.3698975166768-1.3698975166768
71820.1963271696202-2.19632716962024
81415.1581367419464-1.15813674194639
91114.1915929357188-3.19159293571878
101013.5116618978047-3.51166189780468
11913.053081468503-4.05308146850305
121113.2250491294912-2.22504912949116
131314.6422337589821-1.64223375898206
141817.49248223004060.507517769959442
152120.76955270624730.230447293752715
161515.7313622785734-0.731362278573435
171415.108753794322-1.10875379432204
181515.1660763479847-0.166076347984746
191617.3125749630141-1.31257496301409
201516.0673579945113-1.06735799451131
211616.6326439251-0.632643925099997
221717.3698975166768-0.369897516676798
231415.1581367419464-1.15813674194639
241314.8142014199702-1.81420141997017
251213.5116618978047-1.51166189780468
261514.81420141997020.18579858002983
271615.60877756520970.391222434790325
281816.73934942638711.26065057361295
291918.32850171686610.671498283133936
301717.9431230533038-0.943123053303839
311821.3427782428743-3.34277824287433
321818.3523205349811-0.352320534981119
331817.94312305330380.0568769466961609
341917.2058694617271.79413053827296
352021.334838636836-1.33483863683597
362226.5370571194596-4.53705711945959
372120.43355699030940.566443009690589
382019.28710591705530.71289408294467
391816.86193413975081.13806586024919
401716.63264392510.367356074900003
411615.44474951025990.555250489740085
421918.27117916320340.72882083679664
432118.10715110825362.8928488917464
442018.38582427052881.61417572947123
452017.87786089360282.12213910639722
462119.90971440130671.09028559869328
472018.89378764745481.10621235254525
481915.44474951025993.55525048974009
491614.87152397363291.12847602636713
501815.15813674194642.84186325805361
511915.72342267253513.27657732746492
522119.05781570240451.94218429759549
532220.07374245625651.92625754374352
542524.82532011561680.174679884383187
552425.3332834925428-1.3332834925428
562322.28550323098690.714496769013113
572217.54186517766494.45813482233509
582117.02596219470063.97403780529943
592015.32216479689624.67783520310384
602217.70589323261474.29410676738533


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.01036219980486120.02072439960972230.989637800195139
70.001775622394162850.003551244788325710.998224377605837
80.003390284413398320.006780568826796650.996609715586602
90.003460077406987870.006920154813975730.996539922593012
100.001685085751044630.003370171502089270.998314914248955
110.0008033239752635780.001606647950527160.999196676024736
120.001659604786549580.003319209573099160.99834039521345
130.002669416302776370.005338832605552740.997330583697224
140.003058676564282540.006117353128565080.996941323435718
150.002695275824263460.005390551648526920.997304724175737
160.001413476087402830.002826952174805670.998586523912597
170.0006922087118674540.001384417423734910.999307791288133
180.000475802012798760.000951604025597520.999524197987201
190.0002352779333354340.0004705558666708680.999764722066665
200.0001340147740303170.0002680295480606340.99986598522597
210.0001058303053679210.0002116606107358410.999894169694632
227.53442225506448e-050.000150688445101290.999924655777449
237.60247066686905e-050.0001520494133373810.999923975293331
240.0001486093067577170.0002972186135154340.999851390693242
250.001080386015736910.002160772031473810.998919613984263
260.01599546946804050.03199093893608090.98400453053196
270.0633802688648650.126760537729730.936619731135135
280.1893814656051580.3787629312103160.810618534394842
290.1942090629230170.3884181258460340.805790937076983
300.1806592497869850.361318499573970.819340750213015
310.4165036155210470.8330072310420930.583496384478953
320.342483280333260.6849665606665190.65751671966674
330.3067855824279740.6135711648559480.693214417572026
340.3630367196806760.7260734393613520.636963280319324
350.3229975493494190.6459950986988380.677002450650581
360.5400636340622220.9198727318755570.459936365937778
370.5069332421474050.9861335157051890.493066757852595
380.5504500446774030.8990999106451930.449549955322597
390.5772143013068070.8455713973863860.422785698693193
400.6792114602959490.6415770794081020.320788539704051
410.8489045434353820.3021909131292350.151095456564618
420.8927562194290620.2144875611418760.107243780570938
430.9069297574336870.1861404851326260.0930702425663129
440.9092910430381890.1814179139236210.0907089569618107
450.9096790952734660.1806418094530680.0903209047265338
460.8937188179549340.2125623640901310.106281182045066
470.912397845075670.1752043098486610.0876021549243305
480.9104928903405190.1790142193189620.0895071096594811
490.9817257980640090.03654840387198180.0182742019359909
500.9942383303217320.01152333935653610.00576166967826804
510.9976186845093850.00476263098122970.00238131549061485
520.996801801620850.006396396758299870.00319819837914993
530.9878928944761390.02421421104772270.0121071055238614
540.9941776167247570.0116447665504860.005822383275243


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level210.428571428571429NOK
5% type I error level270.551020408163265NOK
10% type I error level270.551020408163265NOK