Multiple Linear Regression - Estimated Regression Equation
veldgoal[t] = + 0.0370424918019334 + 0.0353032646205693hoogte[t] + 0.000554830562716251gewicht[t] + 0.0320573009846686vrijeworp[t] + 0.00333141873931926puntpergame[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.03704249180193340.1238190.29920.7660780.383039
hoogte0.03530326462056930.0246411.43270.1582910.079145
gewicht0.0005548305627162510.0003781.46830.1484220.074211
vrijeworp0.03205730098466860.066820.47980.6335340.316767
puntpergame0.003331418739319260.0010923.05170.0036680.001834


Multiple Linear Regression - Regression Statistics
Multiple R0.641767441548494
R-squared0.411865449031699
Adjusted R-squared0.363854465279185
F-TEST (value)8.57856717027028
F-TEST (DF numerator)4
F-TEST (DF denominator)49
p-value2.49538802317151e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0451046940926362
Sum Squared Residuals0.0996872380303244


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
10.4420.454133126496396-0.0121331264963955
20.4350.4238498283352610.0111501716647387
30.4560.4454332144202420.0105667855797584
40.4160.4053117378375530.0106882621624469
50.4490.500515768679102-0.0515157686791015
60.4310.504105830210123-0.0731058302101226
70.4870.4177950863488750.069204913651125
80.4690.484835549027733-0.0158355490277332
90.4350.45290074020244-0.0179007402024399
100.480.4581787904840030.0218212095159973
110.5160.5037902364319710.0122097635680294
120.4930.4711517929225420.0218482070774576
130.3740.411809831200642-0.0378098312006424
140.4240.4087550706180690.0152449293819311
150.4410.448264442409687-0.0072644424096873
160.5030.51066330836887-0.00766330836886963
170.5030.4648178125177450.0381821874822548
180.4250.459482580231416-0.0344825802314158
190.3710.439438124565798-0.0684381245657979
200.5040.4787238153257810.0252761846742189
210.40.460112732353357-0.060112732353357
220.4820.48566050859452-0.0036605085945198
230.4750.4326270798389910.0423729201610094
240.4280.460810357230836-0.0328103572308356
250.5590.523903241491970.0350967585080302
260.4410.4346444452504810.00635555474951868
270.4920.4347095108710010.0572904891289988
280.4020.446292797851965-0.0442927978519648
290.4150.4007706871711580.0142293128288418
300.4920.500972603022171-0.00897260302217103
310.4840.4322059748739180.0517940251260817
320.3870.394722666303397-0.00772266630339737
330.4360.4125361487372990.023463851262701
340.4820.48566050859452-0.0036605085945198
350.340.419557401878371-0.079557401878371
360.5160.4597210417084280.056278958291572
370.4750.4519255750317610.0230744249682389
380.4120.3939487922167470.0180512077832533
390.4110.436648113664571-0.025648113664571
400.4070.449128205441437-0.0421282054414366
410.4450.475846628495865-0.0308466284958648
420.2910.393638885078371-0.102638885078371
430.4490.4439667635699030.00503323643009668
440.5460.4572752961030660.0887247038969338
450.480.501364972489965-0.0213649724899648
460.3590.3568032457152580.00219675428474236
470.5280.4182304836739140.109769516326086
480.3520.400032528364449-0.0480325283644493
490.4140.457897711109623-0.0438977111096229
500.4250.4089356354727590.0160643645272413
510.5990.5112701010904740.0877298989095256
520.4820.4630581931993170.0189418068006829
530.4570.4392455498165970.0177544501834031
540.4350.463918927059293-0.0289189270592928


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.1521941425275110.3043882850550220.847805857472489
90.2067353118506750.413470623701350.793264688149325
100.1474321590919310.2948643181838620.852567840908069
110.2140637788453550.428127557690710.785936221154645
120.1613057117479460.3226114234958910.838694288252054
130.2574687139213350.514937427842670.742531286078665
140.1755494251283840.3510988502567680.824450574871616
150.1150596017126420.2301192034252830.884940398287358
160.08965990898071560.1793198179614310.910340091019284
170.095043392294750.19008678458950.90495660770525
180.07546768562581330.1509353712516270.924532314374187
190.1698968280756690.3397936561513390.83010317192433
200.1461018291149980.2922036582299950.853898170885002
210.1821849232908150.364369846581630.817815076709185
220.1311021911504650.2622043823009310.868897808849534
230.1531876044813680.3063752089627360.846812395518632
240.127474464747570.254948929495140.87252553525243
250.1208283710785180.2416567421570350.879171628921482
260.08267335209437120.1653467041887420.917326647905629
270.1140607612693290.2281215225386570.885939238730671
280.1161872414545070.2323744829090140.883812758545493
290.08783282485182640.1756656497036530.912167175148174
300.06229681209434950.1245936241886990.93770318790565
310.06122245553890610.1224449110778120.938777544461094
320.04266352273842920.08532704547685850.95733647726157
330.02959394280787340.05918788561574680.970406057192127
340.0176927486250120.03538549725002410.982307251374988
350.06389741412761480.127794828255230.936102585872385
360.07646841653795420.1529368330759080.923531583462046
370.05381775927357920.1076355185471580.94618224072642
380.03417763323138690.06835526646277380.965822366768613
390.02454500520132780.04909001040265550.975454994798672
400.01906482515068960.03812965030137910.98093517484931
410.01372953255325320.02745906510650640.986270467446747
420.04927704150418070.09855408300836150.95072295849582
430.02987177422119140.05974354844238280.970128225778809
440.08497445488105880.1699489097621180.915025545118941
450.2163750385241020.4327500770482040.783624961475898
460.6110897100935530.7778205798128930.388910289906447


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level40.102564102564103NOK
10% type I error level90.230769230769231NOK