Multiple Linear Regression - Estimated Regression Equation
Leermogelijkheden[t] = + 10.4030996633557 + 0.271109839294935Carrièremogelijkheden[t] -0.0155622357020903Geen_Motivatie[t] + 0.622975722980002Persoonlijke_redenen[t] -0.0921577738086978Ouders[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)10.40309966335575.9901081.73670.0846220.042311
Carrièremogelijkheden0.2711098392949350.1016452.66720.0085430.004271
Geen_Motivatie-0.01556223570209030.208191-0.07470.940520.47026
Persoonlijke_redenen0.6229757229800020.0999826.230900
Ouders-0.09215777380869780.104029-0.88590.3771880.188594


Multiple Linear Regression - Regression Statistics
Multiple R0.545772649084669
R-squared0.297867784488897
Adjusted R-squared0.277949140077234
F-TEST (value)14.9542196915014
F-TEST (DF numerator)4
F-TEST (DF denominator)141
p-value3.27302074332181e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.65177907022895
Sum Squared Residuals6238.70923667816


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15236.780707678079615.2192923219204
23936.39946117408572.60053882591434
34236.77346645494465.22653354505537
43538.3622880068664-3.36228800686641
53238.7376321145449-6.73763211454485
64946.69989064862142.30010935137861
73340.1661572180902-7.1661572180902
84737.78251324986549.2174867501346
94637.33969256821938.66030743178073
104037.74240566529412.25759433470587
113341.6132001267104-8.61320012671036
123939.9501889883772-0.950188988377244
133735.50792811797081.49207188202915
145647.58981570461288.4101842953872
153638.7315938672575-2.73159386725745
162439.4923469462766-15.4923469462766
175643.083035790674612.9169642093254
183243.679047548534-11.6790475485340
194139.00337847170861.99662152829137
202433.3688350481961-9.36883504819609
214237.10092284073244.89907715926764
224740.84038321767266.15961678232741
232529.4761709304864-4.47617093048643
243336.8516699931746-3.85166999317464
254340.18641887426022.81358112573976
264544.72740397645410.272596023545876
274438.85367313662275.14632686337731
284636.49496687698669.50503312301338
293132.9840901385186-1.98409013851858
303138.9380507731119-7.93805077311194
314239.2833482377552.71665176224497
322841.3133844322627-13.3133844322627
333835.86931799007062.1306820099294
345948.91183447798810.0881655220120
354343.6669710539591-0.666971053959148
362942.5150551228117-13.5150551228117
373841.2929869251209-3.29298692512086
383943.0379677871848-4.03796778718477
395041.84647248215758.15352751784254
404439.05408983412664.94591016587341
412934.2606251806352-5.26062518063517
422930.4880394048713-1.48803940487125
433641.2791665794508-5.27916657945082
444337.52816862212025.47183137787981
452839.5293611494402-11.5293611494402
463933.9751687460425.02483125395801
473532.58085079181552.41914920818449
484345.2002693400724-2.20026934007243
492830.0959300856431-2.09593008564309
504941.48802943700067.51197056299943
513339.3742923322231-6.37429233222307
523938.6861228005550.313877199444978
533637.5772612809217-1.57726128092173
542440.2121905670263-16.2121905670263
554741.48548763433355.51451236566653
563437.8883555183723-3.88835551837231
573340.1881500607993-7.18815006079926
584341.40660933094721.59339066905278
594142.5585252620946-1.55852526209465
604035.1455791142154.85442088578503
613943.6233777282606-4.6233777282606
625444.18222676742849.81777323257164
634338.53533767603714.46466232396293
644542.35462282346352.64537717653653
652936.0368683261383-7.03686832613827
664543.28291357399411.7170864260059
674741.65089105609335.34910894390667
683834.49820655789383.50179344210616
695246.25706996697535.74293003302474
703436.4537921675396-2.45379216753955
715646.81312069472829.1868793052718
722634.7176712322271-8.7176712322271
734244.0869882767681-2.08698827676815
743231.65323480644110.346765193558874
753940.4682556778175-1.46825567781749
763741.1894274218936-4.18942742189359
773741.5430351956107-4.54303519561071
785247.38806018028944.61193981971056
793134.8775626563278-3.87756265632776
803429.07292962272024.92707037727982
813841.0415871632553-3.04158716325533
822933.0993332090246-4.09933320902455
835239.027789930669212.9722100693308
844039.55271618701790.447283812982083
854738.69752452997368.30247547002641
863442.6544385179111-8.6544385179111
873742.479108044524-5.47910804452398
884339.31982548779733.68017451220266
893737.0924659771935-0.0924659771934753
905543.976985501977711.0230144980223
913639.9459052956781-3.9459052956781
922835.5059145259951-7.50591452599514
934742.57127652182574.42872347817429
943840.7931575963819-2.7931575963819
953739.0295318207012-2.02953182070121
963235.6423403906586-3.64234039065863
974738.31265643388058.68734356611954
984034.09926160738295.90073839261705
994541.96439124523923.03560875476082
1003745.2481590230263-8.24815902302633
1013842.6041321797689-4.6041321797689
1023733.86074838864383.13925161135624
1033537.6405880520989-2.64058805209892
1045044.76160916470985.23839083529018
1053231.04702429501080.952975704989153
1063241.830382035764-9.83038203576398
1073840.3468511736085-2.34685117360849
1083137.4448707750630-6.44487077506296
1092736.2552532110395-9.25525321103953
1103427.83623242429446.16376757570562
1114342.24864470398470.751355296015272
1122838.8004092680446-10.8004092680446
1134449.014719216059-5.01471921605904
1144340.45940645455912.54059354544095
1155344.39162853916258.60837146083747
1163338.6490959328353-5.64909593283527
1173636.5179188513518-0.517918851351792
1184641.44430026033024.55569973966981
1193638.2204986600718-2.22049866007176
1202432.5658274702978-8.56582747029783
1215045.18282936336654.81717063663355
1224031.4336342811368.56636571886398
1234044.9972981753452-4.99729817534521
1243240.4443724295484-8.44437242954835
1254945.22239803375333.77760196624669
1264741.73875247264675.26124752735333
1272832.7963015143301-4.79630151433012
1284140.80227656052080.197723439479178
1292541.1685017040603-16.1685017040603
1304633.787233567388712.2127664326113
1315341.562352913320611.4376470866794
1323435.6459619827577-1.64596198275774
1334039.2630865815850.736913418415
1344636.10690810975919.89309189024088
1353840.2367145089094-2.23671450890941
1365142.76564426854928.23435573145083
1373844.6317604615181-6.63176046151815
1384541.71192435849793.28807564150215
1394138.11693915684452.8830608431555
1404238.30192946961813.69807053038186
1413641.9816827064171-5.98168270641711
1424135.89078262208835.10921737791174
1433532.49031172162322.50968827837676
1444234.31201326927267.68798673072744
1453530.52574103774734.47425896225274
1463238.2055985249697-6.2055985249697


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.8391128739399430.3217742521201140.160887126060057
90.8441272025379480.3117455949241040.155872797462052
100.7760273918412350.4479452163175310.223972608158765
110.903140792703180.1937184145936380.0968592072968192
120.8493583869793870.3012832260412260.150641613020613
130.7818360592056580.4363278815886830.218163940794342
140.857966743351620.2840665132967590.142033256648379
150.8340276838000960.3319446323998080.165972316199904
160.9076012034176030.1847975931647940.0923987965823972
170.9522686424081980.09546271518360380.0477313575918019
180.9823481591370680.03530368172586410.0176518408629321
190.9729952752039060.05400944959218860.0270047247960943
200.974966545837180.05006690832564070.0250334541628204
210.9818195862989980.03636082740200490.0181804137010024
220.9805079675549250.0389840648901510.0194920324450755
230.9734402902020440.05311941959591220.0265597097979561
240.9650049013799280.0699901972401450.0349950986200725
250.952342785843760.09531442831248010.0476572141562401
260.9341979920427250.1316040159145510.0658020079572753
270.9227841705400540.1544316589198910.0772158294599456
280.9140345208423020.1719309583153960.085965479157698
290.896763170205990.2064736595880210.103236829794011
300.887635986629720.2247280267405590.112364013370279
310.8608364037439750.2783271925120500.139163596256025
320.9216197024832940.1567605950334120.0783802975167061
330.9030151598107070.1939696803785870.0969848401892933
340.9126472299537580.1747055400924830.0873527700462417
350.8894707469031010.2210585061937980.110529253096899
360.9533725657995480.09325486840090320.0466274342004516
370.940671823272390.1186563534552210.0593281767276104
380.9411548333820520.1176903332358960.0588451666179482
390.9445534893863670.1108930212272650.0554465106136327
400.934366022018380.1312679559632400.0656339779816198
410.936300635366630.1273987292667420.0636993646333709
420.9187657400008160.1624685199983680.0812342599991839
430.9138851965895190.1722296068209630.0861148034104813
440.9090625417364540.1818749165270930.0909374582635463
450.9412066379213840.1175867241572310.0587933620786157
460.9332832149476050.1334335701047900.0667167850523952
470.921979067803720.1560418643925600.0780209321962802
480.9034980408647880.1930039182704240.0965019591352118
490.8825571981316210.2348856037367580.117442801868379
500.8930022953238160.2139954093523670.106997704676183
510.8907848654445230.2184302691109540.109215134555477
520.8653104592335540.2693790815328920.134689540766446
530.8390740867083070.3218518265833870.160925913291693
540.9322014634446280.1355970731107450.0677985365553725
550.924547322032240.1509053559355190.0754526779677596
560.911992149664180.1760157006716410.0880078503358206
570.9207992975545250.158401404890950.079200702445475
580.901854987323530.196290025352940.09814501267647
590.88065325981480.23869348037040.1193467401852
600.8787436183542520.2425127632914950.121256381645748
610.8679021918847240.2641956162305530.132097808115276
620.8934445932086960.2131108135826080.106555406791304
630.8791303586393630.2417392827212730.120869641360637
640.8564785192808110.2870429614383770.143521480719189
650.8617978397556580.2764043204886850.138202160244342
660.8350781432954230.3298437134091540.164921856704577
670.8220758142098520.3558483715802950.177924185790148
680.7989619554664120.4020760890671760.201038044533588
690.7856447457497060.4287105085005870.214355254250294
700.7528332256583720.4943335486832560.247166774341628
710.7835534317470640.4328931365058710.216446568252935
720.8040521597358520.3918956805282950.195947840264148
730.7734995678557970.4530008642884060.226500432144203
740.7405291997889640.5189416004220720.259470800211036
750.7021508920853470.5956982158293050.297849107914653
760.6789347203694980.6421305592610030.321065279630502
770.6546178461337710.6907643077324580.345382153866229
780.6318792210679330.7362415578641350.368120778932067
790.5997705283704850.8004589432590310.400229471629516
800.5810680844435280.8378638311129440.418931915556472
810.5450947550160010.9098104899679970.454905244983999
820.5230340959959010.9539318080081980.476965904004099
830.6533583704922790.6932832590154430.346641629507721
840.608250932507190.783498134985620.39174906749281
850.63203271831380.7359345633723990.367967281686200
860.660693761968010.678612476063980.33930623803199
870.6492415321831990.7015169356336020.350758467816801
880.6150790692184890.7698418615630220.384920930781511
890.5678547725085660.8642904549828680.432145227491434
900.6666487616438470.6667024767123060.333351238356153
910.6622602856127040.6754794287745920.337739714387296
920.6768986972506850.6462026054986310.323101302749316
930.6456431956211370.7087136087577250.354356804378863
940.6076942328248110.7846115343503780.392305767175189
950.5605158838454730.8789682323090540.439484116154527
960.5237319353215450.952536129356910.476268064678455
970.5584935162057680.8830129675884640.441506483794232
980.5490284478814630.9019431042370740.450971552118537
990.5056125859324280.9887748281351450.494387414067572
1000.5360594030205290.9278811939589420.463940596979471
1010.5108134291965540.9783731416068930.489186570803446
1020.4669708475753040.9339416951506070.533029152424696
1030.4273364977826630.8546729955653250.572663502217337
1040.4098039033657270.8196078067314540.590196096634273
1050.3588229851745390.7176459703490780.641177014825461
1060.4288581363188640.8577162726377280.571141863681136
1070.3785657267700930.7571314535401850.621434273229907
1080.4276632598106980.8553265196213960.572336740189302
1090.4676944427413020.9353888854826030.532305557258699
1100.4381315906870660.8762631813741320.561868409312934
1110.3814943826979860.7629887653959720.618505617302014
1120.4722802481303630.9445604962607270.527719751869637
1130.4605620728507050.921124145701410.539437927149295
1140.4051426139331420.8102852278662840.594857386066858
1150.4195961374526420.8391922749052840.580403862547358
1160.4070626061863460.8141252123726920.592937393813654
1170.3627449826676730.7254899653353470.637255017332327
1180.3224157909297650.644831581859530.677584209070235
1190.2800756105625190.5601512211250380.719924389437481
1200.3328476924966390.6656953849932780.667152307503361
1210.2987486591623720.5974973183247450.701251340837628
1220.3027430488469660.6054860976939310.697256951153034
1230.2626694360127770.5253388720255540.737330563987223
1240.2832378511238040.5664757022476090.716762148876195
1250.2464866260058540.4929732520117070.753513373994146
1260.2187028997928770.4374057995857530.781297100207123
1270.2741530899806250.548306179961250.725846910019375
1280.2120229802233730.4240459604467460.787977019776627
1290.7062211310914320.5875577378171360.293778868908568
1300.7652178663449970.4695642673100070.234782133655003
1310.9382257871164260.1235484257671480.0617742128835742
1320.9304062739673860.1391874520652280.0695937260326142
1330.8832945930308930.2334108139382150.116705406969107
1340.9172924179978330.1654151640043330.0827075820021667
1350.9722991456234960.05540170875300760.0277008543765038
1360.973201482641490.05359703471701970.0267985173585098
1370.9850676872218110.02986462555637720.0149323127781886
1380.9495735725880460.1008528548239070.0504264274119537


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level40.0305343511450382OK
10% type I error level130.099236641221374OK