Multiple Linear Regression - Estimated Regression Equation
PStress[t] = + 5.77337275478613 -0.0342048600664453BelInSprt[t] + 0.162129769967189KunnenRekRel[t] -0.144754395838316ExtraCurAct[t] -0.0528074645624752Verwouders[t] + 0.0619866259734261Populariteit[t] + 0.405039685698546Depressie[t] -0.188350390479734Slaapgebrek[t] + 0.202001749841396ToekZorgen[t] + 0.0432050643236558`MateGeorgZijn `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.773372754786132.0973362.75270.0067430.003371
BelInSprt-0.03420486006644530.017296-1.97760.0500540.025027
KunnenRekRel0.1621297699671890.1105281.46690.1447920.072396
ExtraCurAct-0.1447543958383160.123818-1.16910.2444750.122237
Verwouders-0.05280746456247520.048681-1.08480.2800040.140002
Populariteit0.06198662597342610.0579321.070.2865760.143288
Depressie0.4050396856985460.0636266.365900
Slaapgebrek-0.1883503904797340.093402-2.01650.0457710.022886
ToekZorgen0.2020017498413960.1162361.73790.0845670.042284
`MateGeorgZijn `0.04320506432365580.046140.93640.3507840.175392


Multiple Linear Regression - Regression Statistics
Multiple R0.623985664675957
R-squared0.389358109721096
Adjusted R-squared0.347723435383898
F-TEST (value)9.35177507496987
F-TEST (DF numerator)9
F-TEST (DF denominator)132
p-value6.5743854804623e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.92734869960743
Sum Squared Residuals490.336837303956


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11010.4885471581556-0.488547158155593
267.90843681121168-1.90843681121168
31310.22477148316432.7752285168357
4129.700216796838112.29978320316189
5812.59294701117-4.59294701117001
669.08610033421258-3.08610033421258
71012.6994040268589-2.69940402685891
81010.1013700284188-0.101370028418802
999.28216445334169-0.282164453341689
10910.1498610237591-1.14986102375906
1179.10916176310506-2.10916176310506
1259.26635106633395-4.26635106633395
131412.27358873689851.72641126310153
1468.88605648962205-2.88605648962205
151011.4196079429094-1.41960794290935
161010.7869668124546-0.786966812454587
1778.36951556910205-1.36951556910205
18109.458033756928450.541966243071551
1989.30724136094698-1.30724136094698
2067.06092365191068-1.06092365191068
211010.9402675133964-0.940267513396408
221210.37619194031331.62380805968670
2378.91258883384755-1.91258883384755
24158.622178385925376.37782161407463
25810.2442311661258-2.24423116612577
261010.0435975477385-0.0435975477384701
271310.54423652531512.45576347468492
2887.884938905205080.115061094794922
291111.0489101529417-0.0489101529417004
3079.30043492026231-2.30043492026231
3198.239225407593560.760774592406436
32109.552018570465390.447981429534612
3388.34713489565026-0.347134895650259
341513.49227608585711.50772391414294
3599.87919360976915-0.879193609769153
3678.3313692625469-1.33136926254689
37119.54343730874811.45656269125189
3897.817586301970621.18241369802938
3989.83889165034563-1.83889165034563
4088.07031522147137-0.0703152214713721
41129.006690910027572.99330908997243
421310.19386912242842.80613087757164
4399.2436464741124-0.243646474112408
44119.454429355218851.54557064478115
4588.40345679870989-0.403456798709888
461010.6138127734815-0.613812773481454
471312.55691506756290.443084932437137
481211.33742274615210.662577253847944
49129.667262285796052.33273771420395
5098.615434838702450.384565161297553
51810.0263023009330-2.02630230093305
5298.399737400795840.600262599204165
53128.364128930204323.63587106979568
541211.65557593948450.344424060515546
551614.34012939568281.65987060431725
56118.934668581776422.06533141822358
571310.23892284124852.76107715875153
581010.9074268945231-0.907426894523076
59910.5593292803811-1.55932928038106
60149.739596720063184.26040327993682
611311.61061329756831.38938670243169
621210.53320684116981.46679315883024
63910.9521337491224-1.95213374912245
64910.4424726882582-1.44247268825816
651011.0397300873270-1.03973008732702
66810.3875465176335-2.38754651763355
67910.3037781735247-1.30377817352473
6898.954050286901260.0459497130987453
69118.70710874532272.29289125467730
7079.86048859103846-2.86048859103846
711111.6516072530218-0.651607253021812
7299.1024947350616-0.102494735061600
73118.977626648795362.02237335120464
7499.53450545254268-0.534505452542676
75810.2034978250591-2.20349782505915
7698.153082237451370.846917762548632
7789.06360266535608-1.06360266535608
78910.0392733091713-1.03927330917134
791010.2405298607058-0.240529860705809
8099.80865647825014-0.808656478250142
811713.77751902000293.22248097999715
8279.29252641671997-2.29252641671997
831111.0592868587740-0.059286858773962
84910.0754655383367-1.07546553833666
85109.799088796357220.200911203642778
86118.648809897103512.35119010289649
8788.31194325951977-0.311943259519767
881212.2222556983569-0.22225569835692
891010.0956129682348-0.095612968234843
9078.92833116250647-1.92833116250647
9198.742464249371540.257535750628456
9278.19120228467682-1.19120228467682
931210.57421835207021.42578164792983
9489.2329686710533-1.23296867105330
951310.36087799174702.63912200825305
96910.8694697382500-1.86946973825004
971512.39195287218442.60804712781557
9889.1812368254096-1.18123682540959
991411.72105694985022.27894305014981
1001413.54964664384150.450353356158483
101910.2459753700833-1.24597537008334
1021311.87174700477491.12825299522511
103118.91629031021052.0837096897895
1041011.8054836546751-1.80548365467515
105610.0875608331275-4.08756083312749
10688.3071254679926-0.3071254679926
1071011.3708417970852-1.37084179708517
108107.755406658825372.24459334117463
109108.89163168242681.10836831757320
1101212.0646908202124-0.0646908202123775
111109.586350030769560.413649969230443
11298.939016903952830.0609830960471657
11397.551805740949841.44819425905016
114119.377960608309121.62203939169088
11578.08456321677665-1.08456321677665
11678.82160573601362-1.82160573601362
11758.42600672452766-3.42600672452766
11898.940349487483230.0596505125167735
119119.845739764883881.15426023511611
1201512.26611098610462.73388901389538
12198.078425302885050.921574697114953
12299.32014194927413-0.320141949274125
12389.53513582770015-1.53513582770015
1241315.2727635081820-2.27276350818202
1251010.1807928233401-0.180792823340132
1261311.52752530365141.47247469634861
12797.410219493035441.58978050696456
128119.585065639636631.41493436036337
129810.5899908351982-2.58999083519818
130109.112969085886480.887030914113524
13198.877112400605140.122887599394861
13287.93465816406290.0653418359371003
13387.935387112324310.0646128876756898
1341310.74928784457012.25071215542986
1351110.82786362509080.172136374909205
136810.2442311661258-2.24423116612577
1371210.15446633223191.84553366776814
1381512.11027246227652.88972753772349
1391111.0592868587740-0.059286858773962
1401010.5101020130621-0.510102013062077
14158.42600672452766-3.42600672452766
142117.351043950610073.64895604938993


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.9878015631842360.02439687363152860.0121984368157643
140.9751570572498540.04968588550029110.0248429427501455
150.9803656075422010.03926878491559780.0196343924577989
160.9631677989864130.07366440202717310.0368322010135866
170.9412574091664780.1174851816670450.0587425908335223
180.947292237115370.1054155257692610.0527077628846306
190.932568954712330.1348620905753400.0674310452876698
200.9080686641426560.1838626717146890.0919313358573445
210.8676619218887470.2646761562225060.132338078111253
220.85181449436150.2963710112770010.148185505638501
230.8104631117573510.3790737764852980.189536888242649
240.9810919920712390.03781601585752230.0189080079287611
250.9808375152110830.03832496957783460.0191624847889173
260.9737553730690170.05248925386196670.0262446269309834
270.9854724110370380.0290551779259240.014527588962962
280.9783270072373910.04334598552521720.0216729927626086
290.967958071138260.06408385772347860.0320419288617393
300.9705918920634050.05881621587318960.0294081079365948
310.9671851170399180.0656297659201640.032814882960082
320.9573814827899970.08523703442000530.0426185172100027
330.941941720112880.1161165597742410.0580582798871203
340.9436076346210570.1127847307578850.0563923653789426
350.9300084911491780.1399830177016440.0699915088508219
360.9227211736579160.1545576526841670.0772788263420836
370.9098147269708690.1803705460582620.090185273029131
380.8898369775672450.220326044865510.110163022432755
390.8728342807294730.2543314385410550.127165719270527
400.8583765927192290.2832468145615420.141623407280771
410.879119331954540.2417613360909210.120880668045461
420.8892664068477660.2214671863044680.110733593152234
430.8617585433198660.2764829133602680.138241456680134
440.8406278824451690.3187442351096630.159372117554831
450.8092205607032240.3815588785935510.190779439296776
460.7704697879310180.4590604241379650.229530212068983
470.7689369247941030.4621261504117950.231063075205897
480.7293530930873110.5412938138253770.270646906912689
490.7669740195624220.4660519608751560.233025980437578
500.7278777021307750.544244595738450.272122297869225
510.7195050154974810.5609899690050380.280494984502519
520.6861487916191960.6277024167616080.313851208380804
530.790353916741490.419292166517020.20964608325851
540.7528884662483170.4942230675033660.247111533751683
550.7797372754396720.4405254491206570.220262724560328
560.821097260397630.3578054792047420.178902739602371
570.8548299316296060.2903401367407890.145170068370394
580.8327770077850710.3344459844298580.167222992214929
590.8248477669299160.3503044661401670.175152233070084
600.9493547522320410.1012904955359180.0506452477679588
610.9432436458006660.1135127083986690.0567563541993345
620.9366273526774790.1267452946450420.0633726473225212
630.939782596199280.120434807601440.06021740380072
640.9333507721581430.1332984556837140.066649227841857
650.9316440558157970.1367118883684070.0683559441842033
660.9363418001591630.1273163996816750.0636581998408373
670.926445856617450.1471082867650990.0735541433825493
680.9072276510761190.1855446978477630.0927723489238813
690.919961654872110.1600766902557790.0800383451278895
700.939952203105250.12009559378950.06004779689475
710.9261724307614270.1476551384771450.0738275692385726
720.9085111113910240.1829777772179520.0914888886089761
730.9111840997264090.1776318005471830.0888159002735913
740.8904200185227190.2191599629545630.109579981477281
750.8932878607841960.2134242784316080.106712139215804
760.882199241323580.2356015173528390.117800758676420
770.8680495677925040.2639008644149930.131950432207496
780.8511854117472690.2976291765054620.148814588252731
790.8192424695229260.3615150609541470.180757530477074
800.7908410928048820.4183178143902350.209158907195118
810.8559899432896410.2880201134207170.144010056710359
820.8679308867244330.2641382265511340.132069113275567
830.8399461914800670.3201076170398650.160053808519933
840.8327449668270670.3345100663458660.167255033172933
850.7994205893463970.4011588213072060.200579410653603
860.8788920937940630.2422158124118740.121107906205937
870.8596786579948850.280642684010230.140321342005115
880.8279445076846840.3441109846306330.172055492315316
890.7932709384306680.4134581231386650.206729061569332
900.8144673135643910.3710653728712170.185532686435609
910.7799283983232730.4401432033534530.220071601676727
920.7827251310546160.4345497378907670.217274868945384
930.784897631841840.4302047363163210.215102368158161
940.750847578848660.4983048423026810.249152421151341
950.7795908475637790.4408183048724430.220409152436221
960.7572590481748450.4854819036503110.242740951825155
970.7686632378336430.4626735243327130.231336762166357
980.7315253405732430.5369493188535130.268474659426757
990.713351077978910.5732978440421790.286648922021089
1000.7140733500664450.571853299867110.285926649933555
1010.7191668119465410.5616663761069180.280833188053459
1020.7320122990328710.5359754019342570.267987700967129
1030.7547727400652030.4904545198695940.245227259934797
1040.7343964923397230.5312070153205530.265603507660277
1050.8471471718226920.3057056563546170.152852828177308
1060.8094266482787780.3811467034424450.190573351721222
1070.833477014089620.3330459718207590.166522985910379
1080.8205247288408070.3589505423183860.179475271159193
1090.7911349849163750.4177300301672510.208865015083625
1100.8140361070722630.3719277858554730.185963892927737
1110.7936911745731950.4126176508536090.206308825426805
1120.7392693201546530.5214613596906940.260730679845347
1130.6879226201109090.6241547597781820.312077379889091
1140.6383139604452310.7233720791095370.361686039554769
1150.5731752249766480.8536495500467050.426824775023352
1160.5128648960317080.9742702079365840.487135103968292
1170.6101242361812940.7797515276374120.389875763818706
1180.5308184505688730.9383630988622540.469181549431127
1190.4515766994145310.9031533988290620.548423300585469
1200.4435698354785060.8871396709570130.556430164521494
1210.3693939554258120.7387879108516230.630606044574188
1220.2928699248579370.5857398497158730.707130075142063
1230.2403059418271110.4806118836542230.759694058172889
1240.3186795325936430.6373590651872860.681320467406357
1250.4554186128419840.9108372256839670.544581387158016
1260.3937085509311950.7874171018623910.606291449068804
1270.2892728383413460.5785456766826930.710727161658654
1280.2235767896019500.4471535792039010.77642321039805
1290.1620474036217540.3240948072435080.837952596378246


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level70.0598290598290598NOK
10% type I error level130.111111111111111NOK