Multiple Linear Regression - Estimated Regression Equation
Carrièremogelijkheden[t] = + 40.7659808745792 -0.215882565886822Geen_Motivatie[t] + 0.177165440935508Leermogelijkheden[t] + 0.0943861603943652Persoonlijke_redenen[t] -0.136765672292484Ouders[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)40.76598087457923.48757111.688900
Geen_Motivatie-0.2158825658868220.167317-1.29030.1990710.099535
Leermogelijkheden0.1771654409355080.0664232.66720.0085430.004271
Persoonlijke_redenen0.09438616039436520.0909281.0380.3010330.150516
Ouders-0.1367656722924840.083539-1.63720.1038280.051914


Multiple Linear Regression - Regression Statistics
Multiple R0.348733567865764
R-squared0.121615101356386
Adjusted R-squared0.0966963808274888
F-TEST (value)4.88047133942352
F-TEST (DF numerator)4
F-TEST (DF denominator)141
p-value0.00102534486890948
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.37718131977644
Sum Squared Residuals4076.88513135113


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14646.9123052859971-0.91230528599714
24446.2565414694413-2.25654146944133
34245.2717744187325-3.27177441873248
44144.7459832272464-3.74598322724639
54843.61541756677374.38458243322631
64948.46516046376830.534839536231693
75145.47670730501145.52329269498862
84746.47351247989310.526487520106907
94946.30198916915952.69801083084051
104646.15453343559-0.154533435589972
115143.91806441959797.08193558040212
125444.81939498952039.18060501047972
135244.48818934635117.51181065364887
145249.62620165672252.37379834327748
154544.69199683549500.308003164504952
165243.8884171846888.11158281531203
175648.99260877906017.00739122093994
185444.57676227921739.4232377207827
195044.79960951831585.2003904816842
203541.699609710114-6.69960971011397
214847.18362226021950.816377739780457
223746.7335457223743-9.73354572237433
234742.44917692062124.55082307937879
243145.0913066915321-14.0913066915321
254546.1791327394247-1.17913273942474
264747.2941950346526-0.294195034652579
274446.4410572041565-2.44105720415649
283044.5094238914649-14.5094238914649
294042.7137013762833-2.71370137628331
304445.8644102811952-1.86441028119520
314343.8651664724115-0.865166472411477
325143.99579576906397.00420423093611
334845.34354101854722.65645898145284
345549.25234492197795.74765507802209
354847.26141713946650.738582860533452
365344.18767375890528.81232624109484
374946.15627908040022.84372091959978
384444.3526636407467-0.352663640746715
394547.644243810564-2.64424381056398
404045.471856519811-5.47185651981104
414441.04316370208942.95683629791056
424142.7300585589858-1.73005855898583
434644.36424500071391.63575499928610
444746.21752724492660.782472755073368
454843.05879074212424.94120925787584
464343.7574652685861-0.75746526858614
474644.88717658293871.11282341706126
485346.88785750428536.11214249571468
493342.6992859269409-9.69928592694093
504749.1992243090307-2.19922430903068
514344.6442722929584-1.64427229295841
524545.7343751836695-0.734375183669551
534946.0986047818162.90139521818396
544540.36083439698354.63916560301648
553747.6909054284217-10.6909054284217
564245.0644305448788-3.06443054487884
574345.6592807777039-2.65928077770395
584446.3464369453173-2.34643694531728
593946.5855332709105-7.58553327091055
603742.8371780536933-5.83717805369331
615346.52221684212456.47778315787554
624848.9519749119722-0.951974911972193
634747.0748586603778-0.0748586603777539
644947.31167814315251.68832185684746
654743.5699068659373.43009313406301
665647.53320283924138.46679716075874
675147.47723670423483.52276329576517
684345.1276584526603-2.12765845266034
695149.00229891677671.99770108322327
703643.748223752556-7.74822375255598
715548.67504079877136.3249592012287
723343.2000726188211-10.2000726188211
734246.9938505445329-4.99385054453290
744343.3559410421867-0.355941042186717
754446.2910650094376-2.29106500943761
764745.79996845527411.20003154472588
774344.67253398374-1.67253398373999
784748.9695465414767-1.96954654147674
794141.8597982493342-0.859798249334152
805342.113120492251710.8868795077483
814745.62392894013611.37607105986395
822344.078575049605-21.0785750496050
834348.3263265272161-5.32632652721615
844744.73265622246902.26734377753105
854747.1940782230517-0.194078223051731
864944.39929973871844.60070026128159
875046.69967938262343.30032061737664
884347.3580171415609-4.35801714156085
894445.2703888746041-1.27038887460414
904948.22942942555850.77057057444154
914744.35573129990432.6442687000957
923942.7547208639391-3.75472086393914
934946.13447638470812.86552361529186
944145.9500236511115-4.95002365111153
954044.447024281255-4.44702428125504
963842.8524723117169-4.85247231171693
974347.2093474898518-4.20934748985176
985544.405347064691410.5946529353086
994646.9166503930751-0.916650393075118
1005446.70930651922157.29069348077852
1014746.22355499569650.776445004303501
1023545.1183539355116-10.1183539355116
1034143.8677404147933-2.86774041479334
1045348.30716077502454.69283922497553
1054443.71423141056790.285768589432078
1064843.22437482309254.77562517690751
1074945.00394820546793.99605179453206
1083942.8431677945682-3.84316779456822
1094542.93584579138482.06415420861516
1103444.5427069361107-10.5427069361107
1114645.38287839117370.61712160882627
1124544.78529455132450.214705448675528
1135347.55222301399275.44777698600732
1145145.63771218045675.36228781954329
1154549.8480234523746-4.84802345237463
1165045.28793498422274.71206501577735
1174144.4246643390062-3.42466433900625
1184447.9567893796636-3.95678937966365
1194345.1237619672687-2.12376196726869
1204241.26385957194410.7361404280559
1214848.4535535839151-0.453553583915084
1224543.89446503932351.10553496067654
1234845.24983810694662.75016189305340
1244844.48801824902483.51198175097517
1255348.81382369555144.18617630444862
1264546.7600992495782-1.76009924957815
1274541.8786918931863.12130810681397
1285045.80897587285944.19102412714057
1294843.04780358128384.95219641871625
1304146.4873332014463-5.48733320144625
1315346.64022248665896.35977751334114
1324044.8389208423939-4.83892084239389
1334944.58006456548224.41993543451782
1344643.38188840891732.61811159108269
1354846.65133512107391.34866487892609
1364348.7154780486468-5.71547804864683
1375344.9655536999668.03444630003395
1385146.82790636288274.17209363711735
1394145.8304439877556-4.83044398775563
1404545.5029262514193-0.502926251419318
1414443.39448759847420.605512401525817
1424345.0426023293007-2.04260232930072
1433443.769925965897-9.76992596589701
1443846.1042094307854-8.10420943078543
1454042.3982842365759-2.39828423657595
1464842.49926735564345.50073264435664


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.4683658667226100.9367317334452210.53163413327739
90.3704266644132450.7408533288264890.629573335586755
100.2357829688996630.4715659377993260.764217031100337
110.2306476524354560.4612953048709110.769352347564544
120.259904504032630.519809008065260.74009549596737
130.2442721757930620.4885443515861240.755727824206938
140.2410055268025870.4820110536051750.758994473197413
150.1694043339444100.3388086678888190.83059566605559
160.1217759044360080.2435518088720170.878224095563992
170.1943121135429970.3886242270859940.805687886457003
180.2460206373773110.4920412747546220.753979362622689
190.2017109236202290.4034218472404590.79828907637977
200.4732509292639860.9465018585279720.526749070736014
210.4140984137711740.8281968275423490.585901586228826
220.5943160635966180.8113678728067630.405683936403382
230.5340863061743470.9318273876513060.465913693825653
240.9011216404607480.1977567190785040.0988783595392519
250.8696322821266460.2607354357467070.130367717873354
260.831395726769010.3372085464619790.168604273230990
270.7995885091338970.4008229817322060.200411490866103
280.9219846339360280.1560307321279450.0780153660639723
290.9019869191083230.1960261617833540.0980130808916768
300.9003626600309550.199274679938090.099637339969045
310.8793901411564170.2412197176871650.120609858843583
320.8879541876614970.2240916246770050.112045812338503
330.8609120438056990.2781759123886030.139087956194301
340.8728647477361170.2542705045277660.127135252263883
350.840980761349660.318038477300680.15901923865034
360.8892073300779780.2215853398440440.110792669922022
370.8649372243793290.2701255512413430.135062775620671
380.8349391945432570.3301216109134850.165060805456743
390.807473568969730.385052862060540.19252643103027
400.8019319516806960.3961360966386090.198068048319304
410.7881109057731340.4237781884537330.211889094226866
420.7607523577007990.4784952845984020.239247642299201
430.7213727561018770.5572544877962450.278627243898123
440.6755652979662690.6488694040674620.324434702033731
450.6590716563628170.6818566872743650.340928343637183
460.6100071252981870.7799857494036260.389992874701813
470.5670379712745870.8659240574508270.432962028725413
480.5699027888422160.8601944223155680.430097211157784
490.687185497465230.625629005069540.31281450253477
500.6729589591193960.6540820817612080.327041040880604
510.635858213082780.7282835738344390.364141786917219
520.5901180259564240.8197639480871530.409881974043576
530.5541606939940650.891678612011870.445839306005935
540.5484522198752310.9030955602495380.451547780124769
550.6973787812323950.605242437535210.302621218767605
560.6738838204245350.6522323591509310.326116179575465
570.6451865942121090.7096268115757830.354813405787891
580.6064832294649910.7870335410700170.393516770535009
590.6515940873164460.6968118253671080.348405912683554
600.6691619427490910.6616761145018170.330838057250909
610.6925822715997640.6148354568004720.307417728400236
620.6522161210853720.6955677578292550.347783878914628
630.6064906377125250.787018724574950.393509362287475
640.5639150801364460.8721698397271070.436084919863554
650.5428508949466440.9142982101067120.457149105053356
660.6197156443472530.7605687113054940.380284355652747
670.5942923388993510.8114153222012980.405707661100649
680.5555527221776870.8888945556446260.444447277822313
690.5137370575412840.9725258849174320.486262942458716
700.5695547901766960.8608904196466080.430445209823304
710.589396572206470.821206855587060.41060342779353
720.7003481093109950.5993037813780110.299651890689005
730.6912601106496150.617479778700770.308739889350385
740.649421839833690.7011563203326210.350578160166310
750.6108077435789950.7783845128420090.389192256421005
760.5691568800822340.8616862398355320.430843119917766
770.5284483457414780.9431033085170430.471551654258522
780.4863076170540380.9726152341080760.513692382945962
790.4639830902783470.9279661805566950.536016909721653
800.6162579940682270.7674840118635460.383742005931773
810.5737097940580860.852580411883830.426290205941915
820.9772666056754190.04546678864916210.0227333943245810
830.9764963816429960.0470072367140070.0235036183570035
840.9697873601386280.06042527972274390.0302126398613719
850.9607678404666510.07846431906669770.0392321595333488
860.9564965260786840.08700694784263130.0435034739213156
870.951424530978890.09715093804221780.0485754690211089
880.944718596322980.1105628073540420.0552814036770208
890.9297039203317610.1405921593364770.0702960796682385
900.911286208442710.1774275831145800.0887137915572898
910.8955146263054540.2089707473890930.104485373694546
920.8855206632753930.2289586734492130.114479336724607
930.8648714931693220.2702570136613570.135128506830678
940.8641198709997540.2717602580004920.135880129000246
950.8722226717113980.2555546565772040.127777328288602
960.8850311235799910.2299377528400180.114968876420009
970.8726095801135640.2547808397728710.127390419886436
980.9712232770891450.05755344582171050.0287767229108552
990.9616275641811640.0767448716376720.038372435818836
1000.9743280356153480.05134392876930350.0256719643846517
1010.9650479199579080.0699041600841850.0349520800420925
1020.9823452674796280.03530946504074490.0176547325203724
1030.9803998630106240.03920027397875190.0196001369893760
1040.981327075842820.03734584831435950.0186729241571798
1050.9783235091357260.04335298172854810.0216764908642741
1060.9726031483149570.05479370337008570.0273968516850428
1070.967330498295080.06533900340984140.0326695017049207
1080.975149461907550.04970107618489790.0248505380924489
1090.9660914851173020.06781702976539680.0339085148826984
1100.9750089804282680.0499820391434640.024991019571732
1110.967254116674510.0654917666509780.032745883325489
1120.9540773292125790.09184534157484240.0459226707874212
1130.9463687941782180.1072624116435640.053631205821782
1140.951491968232930.09701606353414220.0485080317670711
1150.9429296226453740.1141407547092510.0570703773546254
1160.9574009317482180.08519813650356450.0425990682517823
1170.9472276410418650.1055447179162700.0527723589581349
1180.934073692702290.1318526145954210.0659263072977105
1190.9129488616773680.1741022766452630.0870511383226316
1200.881558184692160.2368836306156790.118441815307839
1210.8431417651706720.3137164696586560.156858234829328
1220.8249979462783180.3500041074433650.175002053721682
1230.7964340669202210.4071318661595570.203565933079779
1240.751496771199730.4970064576005390.248503228800270
1250.7541631232455750.4916737535088510.245836876754425
1260.7130933402110370.5738133195779250.286906659788963
1270.7180566105143490.5638867789713020.281943389485651
1280.6955922736615130.6088154526769750.304407726338488
1290.6747702152079540.6504595695840920.325229784792046
1300.5986862326165730.8026275347668530.401313767383427
1310.575909087697470.8481818246050610.424090912302531
1320.495233986019270.990467972038540.50476601398073
1330.4603986624988290.9207973249976570.539601337501171
1340.4217169297862150.843433859572430.578283070213785
1350.3479265176910470.6958530353820950.652073482308953
1360.3498683196688890.6997366393377770.650131680331111
1370.6971277565269790.6057444869460420.302872243473021
1380.7274974510073780.5450050979852430.272502548992622


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level80.0610687022900763NOK
10% type I error level230.175572519083969NOK