Multiple Linear Regression - Estimated Regression Equation
Gem_Graden[t] = + 12.1342791396536 + 0.127221061677616Gem_Fietsers[t] + 1.88557563162603`Geslacht `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)12.13427913965360.91501813.261200
Gem_Fietsers0.1272210616776160.0265034.80031.2e-056e-06
`Geslacht `1.885575631626030.9309262.02550.0475090.023755


Multiple Linear Regression - Regression Statistics
Multiple R0.738539369486175
R-squared0.545440400281037
Adjusted R-squared0.529490940641775
F-TEST (value)34.198048875484
F-TEST (DF numerator)2
F-TEST (DF denominator)57
p-value1.74316561185606e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.43046254892519
Sum Squared Residuals336.707447498493


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11517.2231216067582-2.22312160675821
21617.4775637301135-1.47756373011347
31516.968679483403-1.96867948340301
41416.4597952366925-2.45979523669255
51316.2053531133373-3.20535311333732
61617.2231216067582-1.22312160675824
71818.4953322235344-0.495332223534404
81415.314805681594-1.314805681594
91114.1698161264955-3.16981612649546
101013.660931879785-3.660931879785
11912.6431633863641-3.64316338636407
121113.0248265713969-2.02482657139692
131314.1698161264955-1.16981612649546
141818.4953322235344-0.495332223534404
152121.6531184719366-0.65311847193659
161516.5870162983702-1.58701629837016
171416.2053531133373-2.20535311333732
181516.3325741750149-1.33257417501493
191617.0959005450806-1.09590054508063
201516.3325741750149-1.33257417501493
211616.5870162983702-0.587016298370164
221717.2231216067582-0.223121606758244
231415.314805681594-1.314805681594
241314.5514793115283-1.55147931152831
251213.660931879785-1.660931879785
261514.55147931152830.448520688471692
271615.3148056815940.685194318405997
281815.82368992830452.17631007169553
291917.35034266843591.64965733156414
301720.3809078551604-3.38090785516043
311822.9253290887128-4.92532908871275
321822.2892237803247-4.28922378032467
331820.3809078551604-2.38090785516043
341917.85922691514631.14077308485368
352021.9075605952918-1.90756059529182
362224.4519818288441-2.45198182884414
372121.9075605952918-0.907560595291822
382017.47756373011352.52243626988652
391817.09590054508060.904099454919372
401716.58701629837020.412983701629836
411615.95091098998210.0490890100179163
421917.22312160675821.77687839324176
432117.85922691514633.14077308485368
442017.47756373011352.52243626988652
452017.35034266843592.64965733156414
462117.85922691514633.14077308485368
472017.60478479179112.39521520820891
481915.95091098998213.04908901001792
491614.67870037320591.32129962679408
501815.3148056815942.685194318406
511915.56924780494923.43075219505076
522118.8542551150292.14574488497096
532219.10869723838432.89130276161573
542521.65311847193663.34688152806341
552421.78033953361422.21966046638579
562321.01701316354851.98298683645149
572219.49036042341712.50963957658288
582118.34537086831862.65462913168143
592014.67870037320595.32129962679408
602218.8542551150293.14574488497096


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.008423263128015280.01684652625603060.991576736871985
70.001437000075198620.002874000150397230.998562999924801
80.0132708204406620.02654164088132410.986729179559338
90.004470225656984430.008940451313968860.995529774343016
100.001625541973714750.003251083947429510.998374458026285
110.0006622335345529350.001324467069105870.999337766465447
120.001219720354485220.002439440708970440.998780279645515
130.00198488500622180.003969770012443610.998015114993778
140.0009343251214923880.001868650242984780.999065674878508
150.0003326380077953530.0006652760155907060.999667361992205
160.0001340260095115460.0002680520190230910.999865973990488
176.44210253776287e-050.0001288420507552570.999935578974622
183.09499812001851e-056.18999624003703e-050.9999690500188
191.33495764193398e-052.66991528386795e-050.99998665042358
206.50580915857155e-061.30116183171431e-050.999993494190841
215.66154772386642e-061.13230954477328e-050.999994338452276
224.81757058334286e-069.63514116668571e-060.999995182429417
233.82689476113788e-067.65378952227576e-060.999996173105239
244.53430418915674e-069.06860837831347e-060.99999546569581
251.4007273282116e-052.8014546564232e-050.999985992726718
260.0002692762419487270.0005385524838974530.999730723758051
270.001396292718383240.002792585436766480.998603707281617
280.01325032177508280.02650064355016570.986749678224917
290.02028669989161230.04057339978322450.979713300108388
300.04192602762612920.08385205525225840.95807397237387
310.1321450389452540.2642900778905080.867854961054746
320.2646862256527850.5293724513055710.735313774347215
330.4571944861141620.9143889722283240.542805513885838
340.4392742728377970.8785485456755940.560725727162203
350.5434927777367390.9130144445265210.456507222263261
360.6534362383065770.6931275233868460.346563761693423
370.8462475257477230.3075049485045550.153752474252277
380.8739235171975640.2521529656048730.126076482802436
390.883672494130110.232655011739780.11632750586989
400.9300687107194270.1398625785611460.0699312892805731
410.9889928761386340.02201424772273190.011007123861366
420.990635738398110.01872852320377880.00936426160188942
430.9899534358874050.02009312822519060.0100465641125953
440.9862485159445440.02750296811091260.0137514840554563
450.9805730641687520.03885387166249530.0194269358312477
460.9724849854231310.05503002915373870.0275150145768694
470.958735887736720.08252822452655950.0412641122632798
480.9452601153491930.1094797693016150.0547398846508074
490.9877727237498740.02445455250025290.0122272762501265
500.9938603262530030.01227934749399420.00613967374699708
510.9979978301945380.004004339610923190.0020021698054616
520.996965259050890.006069481898218560.00303474094910928
530.99048686030290.01902627939419840.0095131396970992
540.9960411415570730.007917716885854130.00395885844292706


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level230.469387755102041NOK
5% type I error level350.714285714285714NOK
10% type I error level380.775510204081633NOK