Multiple Linear Regression - Estimated Regression Equation
PStress[t] = + 9.03106352044203 -0.102588137617922AGE[t] -0.0294508517465285BelInSprt[t] + 0.191265388962981KunnenRekRel[t] -0.129384440040129ExtraCurAct[t] -0.0135175731533391VerandVorigJr[t] -0.0454055853017774VerwOuders[t] + 0.0273918110157730KenStudenten[t] + 0.403815279363892Depressie[t] -0.205750464844944Slaapgebrek[t] + 0.220708269386516Toekomstzorgen[t] + 0.0795949547996137Rookgedrag[t] -0.0417224932886921MateAlcCon[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.031063520442032.3586323.82892e-041e-04
AGE-0.1025881376179220.071025-1.44440.151050.075525
BelInSprt-0.02945085174652850.018222-1.61620.108490.054245
KunnenRekRel0.1912653889629810.1119111.70910.089840.04492
ExtraCurAct-0.1293844400401290.130236-0.99350.3223460.161173
VerandVorigJr-0.01351757315333910.102393-0.1320.8951770.447588
VerwOuders-0.04540558530177740.049648-0.91460.3621310.181066
KenStudenten0.02739181101577300.0503680.54380.5874970.293748
Depressie0.4038152793638920.0649586.216500
Slaapgebrek-0.2057504648449440.095972-2.14390.033920.01696
Toekomstzorgen0.2207082693865160.1186261.86050.0650860.032543
Rookgedrag0.07959495479961370.1853960.42930.6684030.334202
MateAlcCon-0.04172249328869210.083603-0.49910.6185890.309295


Multiple Linear Regression - Regression Statistics
Multiple R0.626515070345575
R-squared0.392521133370121
Adjusted R-squared0.336011471358040
F-TEST (value)6.94608885266736
F-TEST (DF numerator)12
F-TEST (DF denominator)129
p-value1.33963962145600e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.94457498966075
Sum Squared Residuals487.796973863418


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11010.4247658748273-0.424765874827350
267.91350815555825-1.91350815555825
31310.20816147179842.79183852820164
4129.799798553552792.20020144644721
5812.4826931761664-4.4826931761664
669.08294719176611-3.08294719176611
71013.2291343032434-3.22913430324337
8109.773975154436440.226024845563561
999.34728347138154-0.347283471381539
10910.3114338681129-1.31143386811290
1178.60842974077693-1.60842974077693
1259.62177251207734-4.62177251207734
131412.56996020792751.43003979207253
1468.8727926981038-2.87279269810379
151011.1720831942073-1.17208319420733
161010.6414732911766-0.641473291176622
1778.36574269921349-1.36574269921349
18109.374949328543650.62505067145635
1988.85603779142643-0.856037791426432
2067.40590170275029-1.40590170275029
211010.7270913020562-0.727091302056234
221210.30028758771711.69971241228288
2378.91420366844558-1.91420366844558
24158.840591540014616.15940845998539
2589.46161257413152-1.46161257413152
261010.2754265698002-0.275426569800188
271310.46760218081382.53239781918617
2888.23666821398501-0.236668213985009
291111.3955130046271-0.395513004627105
3079.37035042979025-2.37035042979025
3198.459277590104740.540722409895263
32109.487608187285660.512391812714345
3388.43677914571834-0.436779145718339
341513.24207046913141.75792953086859
35910.2176807444013-1.21768074440125
3678.14583771860678-1.14583771860678
37119.73627327083791.26372672916211
3897.992633167990981.00736683200902
3989.6582818475053-1.65828184750529
4087.790423023413650.209576976586346
41128.578981512238733.42101848776127
42139.790799809023553.20920019097645
4399.50193185889484-0.501931858894844
44119.366011740308251.63398825969175
4588.88537124220957-0.885371242209573
461010.9487154062928-0.948715406292811
471312.75785656154970.242143438450346
481210.92756549009001.07243450991001
491210.24949373831911.75050626168085
5098.828995199860740.171004800139258
5189.93839745930042-1.93839745930042
5298.593337462511590.40666253748841
53128.448077957303243.55192204269676
541211.36519051017760.634809489822446
551614.41642394988311.58357605011687
56118.766654401015592.23334559898441
57139.617026528215693.38297347178432
581010.7214928560551-0.72149285605511
59910.8771651132598-1.87716511325975
601410.19017209722353.80982790277648
611311.48836387460191.51163612539806
621210.41170402083111.58829597916886
63910.8657877426678-1.86578774266781
64910.3441235701389-1.34412357013886
651011.0102634529880-1.01026345298804
66810.3331288962957-2.33312889629573
67910.3141598582602-1.31415985826020
6899.08969020282346-0.0896902028234594
69118.506653549446952.49334645055305
7079.32726047094701-2.32726047094701
711111.5593415332079-0.559341533207881
7299.33671947029637-0.336719470296374
73118.84554695722092.15445304277909
7499.25524438317568-0.255244383175676
75810.1319816575392-2.13198165753924
7698.131315155082280.868684844917718
7789.51906852881131-1.51906852881131
7899.59943339282161-0.599433392821611
79109.839436633439770.160563366560231
80910.0267641671335-1.02676416713346
811713.90298266054693.09701733945312
8279.51842722573087-2.51842722573087
831110.88942289513420.110577104865755
84910.0297766902440-1.02977669024402
85109.998307783734370.00169221626563169
86118.517156266721062.48284373327894
8788.51481346373896-0.514813463738956
881212.0324766384710-0.0324766384710358
891010.0239161641402-0.0239161641402335
9079.06971963900235-2.06971963900235
9198.583227906667040.416772093332962
9278.17642665826965-1.17642665826965
931210.43259906356081.56740093643918
9489.0840520704905-1.08405207049050
951310.28199971405172.7180002859483
96911.2153418678249-2.2153418678249
971512.66864113218482.33135886781522
9888.92057423762213-0.920574237622128
991411.81426794090442.18573205909562
1001413.62888135460850.371118645391509
101910.3608639198152-1.36086391981524
1021311.71910071426491.28089928573514
103119.05646141733831.94353858266170
1041011.7712044055388-1.7712044055388
10569.99277295390467-3.99277295390467
10688.20780348894397-0.207803488943973
1071011.3019777801403-1.30197778014031
108108.019748396845351.98025160315465
109109.447210553309070.552789446690932
1101212.0400376341852-0.0400376341852216
111109.440819976746620.559180023253384
11299.13081009035105-0.13081009035105
11397.397996783956391.60200321604361
114119.156542778470641.84345722152936
11578.25027586129514-1.25027586129513
11678.85378852128818-1.85378852128818
11758.15097735507334-3.15097735507334
11899.03804857828693-0.0380485782869272
1191111.8422283612372-0.842228361237202
1201512.06796648979542.93203351020464
12197.907955355061151.09204464493885
12299.43131779994382-0.431317799943817
12389.1443371486864-1.14433714868641
1241315.5314894864242-2.53148948642417
1251010.3307215339714-0.330721533971427
1261311.49180884623981.50819115376021
12797.829443217833431.17055678216657
128119.421552033392821.57844796660718
129810.3276509846251-2.32765098462513
130109.253360563039420.746639436960576
13198.758528001269350.241471998730649
13288.52576021286184-0.525760212861844
13387.990173942987310.00982605701268877
1341310.79861575662732.20138424337274
1351110.90640784770110.0935921522988669
13689.46161257413152-1.46161257413152
137129.774212299549792.22578770045021
1381511.86673352314893.13326647685111
1391110.88942289513420.110577104865755
1401010.5451734972668-0.545173497266828
14158.15097735507334-3.15097735507334
142117.188392655709113.81160734429089


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.9508957640196160.09820847196076760.0491042359803838
170.9140895698569420.1718208602861160.0859104301430578
180.9701081572459570.05978368550808680.0298918427540434
190.9472047446840670.1055905106318670.0527952553159333
200.9694610782698320.06107784346033670.0305389217301683
210.9513648462889030.09727030742219380.0486351537110969
220.9442304416190780.1115391167618450.0557695583809223
230.9311399670829880.1377200658340230.0688600329170116
240.9930637136102740.01387257277945190.00693628638972594
250.990078439112940.01984312177411930.00992156088705967
260.9845661905869030.03086761882619350.0154338094130967
270.9888693866131950.02226122677361020.0111306133868051
280.983162751681040.03367449663792130.0168372483189607
290.9751165056929780.04976698861404440.0248834943070222
300.9719497550945570.05610048981088620.0280502449054431
310.9724217314929040.0551565370141930.0275782685070965
320.9600210677010770.07995786459784520.0399789322989226
330.9447029462709620.1105941074580760.0552970537290378
340.9653477899981720.06930442000365520.0346522100018276
350.9545228221883560.09095435562328820.0454771778116441
360.9437637909560070.1124724180879860.0562362090439932
370.9331657089035170.1336685821929650.0668342910964825
380.9132597817087370.1734804365825260.086740218291263
390.8989246523070980.2021506953858050.101075347692902
400.8712670215898430.2574659568203140.128732978410157
410.933028071331790.1339438573364190.0669719286682093
420.9519242795803030.09615144083939330.0480757204196966
430.9365449810315950.1269100379368090.0634550189684046
440.9268157934703540.1463684130592920.0731842065296461
450.9098895354946970.1802209290106060.0901104645053028
460.8928251925064660.2143496149870680.107174807493534
470.871633015638860.2567339687222790.128366984361140
480.8471811716035230.3056376567929530.152818828396477
490.8415742675690750.3168514648618490.158425732430925
500.8067174663968180.3865650672063640.193282533603182
510.7930053695193620.4139892609612760.206994630480638
520.7553009290513120.4893981418973750.244699070948688
530.8390239268383750.3219521463232500.160976073161625
540.809040182113610.3819196357727810.190959817886391
550.8096405539826990.3807188920346030.190359446017301
560.8582989765400670.2834020469198660.141701023459933
570.8979891980667440.2040216038665120.102010801933256
580.8736618298732370.2526763402535260.126338170126763
590.8645648024917550.2708703950164890.135435197508245
600.936323973515410.1273520529691810.0636760264845907
610.9293394831450940.1413210337098120.0706605168549058
620.9240775314681440.1518449370637110.0759224685318556
630.9315327427544180.1369345144911640.0684672572455818
640.9224128994007620.1551742011984760.0775871005992382
650.9240652962805620.1518694074388770.0759347037194383
660.9269141482925740.1461717034148510.0730858517074256
670.9188616110563550.1622767778872910.0811383889436454
680.9002431530581350.1995136938837310.0997568469418653
690.9157989510695010.1684020978609980.0842010489304991
700.9311721840389950.137655631922010.068827815961005
710.914420389352560.1711592212948790.0855796106474397
720.8944903094460280.2110193811079440.105509690553972
730.9088095660896410.1823808678207180.091190433910359
740.885798393878980.2284032122420400.114201606121020
750.8863065491246090.2273869017507820.113693450875391
760.870429625843860.259140748312280.12957037415614
770.8610772940536420.2778454118927160.138922705946358
780.8445840070534080.3108319858931840.155415992946592
790.8113302087527630.3773395824944740.188669791247237
800.7838319961164080.4323360077671850.216168003883592
810.8371276515141770.3257446969716460.162872348485823
820.8536411075887420.2927177848225160.146358892411258
830.8234283275487150.353143344902570.176571672451285
840.8083368023183050.383326395363390.191663197681695
850.7709558004838760.4580883990322480.229044199516124
860.8578803163617210.2842393672765580.142119683638279
870.8288230058021760.3423539883956470.171176994197824
880.7921576527069850.4156846945860300.207842347293015
890.750339156755170.499321686489660.24966084324483
900.766061833243560.467876333512880.23393816675644
910.7239236875974850.5521526248050290.276076312402515
920.7036613190230360.5926773619539290.296338680976964
930.7008667564407820.5982664871184360.299133243559218
940.666061369924810.6678772601503790.333938630075189
950.705540636352980.5889187272940390.294459363647020
960.6918203907085190.6163592185829620.308179609291481
970.6846878413227440.6306243173545110.315312158677256
980.6376302559231690.7247394881536620.362369744076831
990.6254538093399720.7490923813200570.374546190660028
1000.621332843085080.757334313829840.37866715691492
1010.6347223400120760.7305553199758470.365277659987924
1020.6441447447266930.7117105105466130.355855255273307
1030.6705781168586550.658843766282690.329421883141345
1040.66150636559750.6769872688050.3384936344025
1050.815715698139360.3685686037212790.184284301860640
1060.8323726204008360.3352547591983270.167627379599163
1070.83245680113460.3350863977308020.167543198865401
1080.8109456236045690.3781087527908620.189054376395431
1090.763298756498520.4734024870029610.236701243501481
1100.7289189385337660.5421621229324690.271081061466234
1110.6882739617509290.6234520764981420.311726038249071
1120.6186268386463330.7627463227073340.381373161353667
1130.5770027324188860.8459945351622290.422997267581114
1140.5486441766170110.9027116467659780.451355823382989
1150.475068802501160.950137605002320.52493119749884
1160.4022656970309750.8045313940619490.597734302969025
1170.4463540089590350.892708017918070.553645991040965
1180.360427946953030.720855893906060.63957205304697
1190.2861212113715530.5722424227431070.713878788628447
1200.2566870442949290.5133740885898590.74331295570507
1210.186306299849030.372612599698060.81369370015097
1220.1255667657419630.2511335314839270.874433234258037
1230.09027535057688080.1805507011537620.90972464942312
1240.1459560083050500.2919120166101010.85404399169495
1250.2967072255629530.5934144511259060.703292774437047
1260.9183424765022740.1633150469954530.0816575234977264


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level60.0540540540540541NOK
10% type I error level160.144144144144144NOK