Multiple Linear Regression - Estimated Regression Equation
PStress[t] = + 5.22652616884922 -0.0342689806008217BelInSprt[t] + 0.156751517105329KunnenRekRel[t] -0.137087238624758ExtraCurAct[t] -0.0131171061742578Verandvorigjaar[t] + 0.0306992360511323Kritouders[t] -0.060701263441551Verwouders[t] + 0.0651926129660706Populariteit[t] + 0.000472082504175796KenMedeStud[t] + 0.402890559410430Depressie[t] -0.177299512348825Slaapgebrek[t] + 0.215782954579822ToekZorgen[t] -0.0326727049326701PersStand[t] + 0.0520518310861078MateGeorgZijn[t] + 0.0264275257714054Rookgedrag[t] -0.0883024675116791MateAlcoholCon[t] + 0.295536842036837MateGezondGevarEetg[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.226526168849222.530352.06550.0409390.020469
BelInSprt-0.03426898060082170.019649-1.7440.0836090.041804
KunnenRekRel0.1567515171053290.1151071.36180.1757130.087856
ExtraCurAct-0.1370872386247580.138554-0.98940.3243720.162186
Verandvorigjaar-0.01311710617425780.108761-0.12060.9041970.452099
Kritouders0.03069923605113230.0833530.36830.7132690.356635
Verwouders-0.0607012634415510.06191-0.98050.3287460.164373
Populariteit0.06519261296607060.0732740.88970.375330.187665
KenMedeStud0.0004720825041757960.0613760.00770.9938750.496938
Depressie0.4028905594104300.0666146.048200
Slaapgebrek-0.1772995123488250.099054-1.78990.0758870.037943
ToekZorgen0.2157829545798220.1237951.74310.0837820.041891
PersStand-0.03267270493267010.051558-0.63370.5274260.263713
MateGeorgZijn0.05205183108610780.0511261.01810.3105930.155296
Rookgedrag0.02642752577140540.1890980.13980.8890780.444539
MateAlcoholCon-0.08830246751167910.270555-0.32640.7446860.372343
MateGezondGevarEetg0.2955368420368370.3461670.85370.3948820.197441


Multiple Linear Regression - Regression Statistics
Multiple R0.628535092629106
R-squared0.395056362666279
Adjusted R-squared0.317623577087563
F-TEST (value)5.10192626693862
F-TEST (DF numerator)16
F-TEST (DF denominator)125
p-value4.64995227877907e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.97131675881084
Sum Squared Residuals485.761220446058


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11010.2979487964583-0.297948796458302
267.91239867279394-1.91239867279394
31310.3390985411632.660901458837
4129.747116785063722.25288321493628
5812.3608178413918-4.36081784139178
668.94314617595213-2.94314617595213
71012.3832569313601-2.38325693136006
8109.989165788988390.0108342110116108
999.18671490635274-0.186714906352737
10910.2562755658211-1.25627556582115
1179.04890707973803-2.04890707973803
1259.06217141802112-4.06217141802112
131412.59925044127561.40074955872441
1468.79656241340654-2.79656241340653
151011.6013799337748-1.60137993377483
161010.8325459887723-0.832545988772341
1778.16337216151061-1.16337216151061
18109.44956699909250.550433000907498
1989.16610993350092-1.16610993350092
2067.16588821534516-1.16588821534516
211010.9857794411093-0.985779441109293
221210.24804047599171.75195952400826
2379.43366041479678-2.43366041479678
24158.65257029762356.3474297023765
25810.1491084527023-2.14910845270229
26109.95283830007740.0471616999226065
271310.51632268764532.48367731235471
2887.86665643010640.133343569893595
291111.3207867552581-0.320786755258090
3079.7319542572747-2.73195425727469
3198.374013825630880.625986174369125
32109.667538256346070.332461743653928
3388.10270249854559-0.102702498545585
341513.40450670649711.59549329350287
35910.1456662951063-1.14566629510635
3678.38185235282574-1.38185235282574
37119.612336758642131.38766324135787
3897.810879946040131.18912005395987
3989.76712144951388-1.76712144951388
4087.745626691781480.254373308218522
41129.073118487425982.92688151257402
421310.28874630084692.71125369915311
4398.99499972465050.00500027534950619
44119.367894153755421.63210584624458
4588.19415957056963-0.19415957056963
461010.8119350981055-0.811935098105464
471312.28621189574680.713788104253187
481211.21424842547550.78575157452449
49129.561375057510082.43862494248992
5098.839627744331890.160372255668115
51810.2068011119551-2.20680111195511
5298.495540119733290.504459880266712
53128.466625666228333.53337433377167
541211.75798837983540.242011620164587
551614.22519082272231.77480917727766
56118.891140122447422.10885987755258
571310.21399476851092.78600523148912
581010.6085494175370-0.608549417536961
59910.6229671645408-1.62296716454078
60149.528617143545254.47138285645474
611311.97298430951941.02701569048063
621210.32823024920771.67176975079226
63910.8763043033581-1.87630430335811
64910.5644844003651-1.56448440036514
651011.2699183270100-1.26991832701005
66810.3411115868558-2.34111158685581
67910.4275714591011-1.42757145910115
6898.984463945398930.0155360546010725
69118.764314221825152.23568577817485
7079.50950617187987-2.50950617187987
711111.5959093237277-0.595909323727745
7299.04322706372827-0.0432270637282655
73119.150584315128891.84941568487111
7499.58582093389701-0.585820933897015
75810.3495296341019-2.34952963410189
7698.130120307568740.86987969243126
7789.06927861793022-1.06927861793022
7899.94476031937515-0.94476031937515
791010.2566345301288-0.256634530128837
8099.89037004592268-0.890370045922676
811713.87113721940713.12886278059293
8279.46628918867527-2.46628918867527
831111.2710971912694-0.271097191269415
8499.99419258295186-0.994192582951863
85109.782647703191770.217352296808229
86118.364850167058542.63514983294146
8788.07350215496662-0.0735021549666187
881212.2362440267885-0.236244026788495
891010.1366359196199-0.136635919619902
9078.90866042512573-1.90866042512573
9198.831852682581910.168147317418089
9278.20186818590794-1.20186818590794
931210.60160310242131.39839689757873
9489.3770524761292-1.37705247612920
951310.58794485703482.41205514296516
96910.8991606935624-1.89916069356244
971512.71391283090472.28608716909534
9889.60084209563988-1.60084209563988
991411.52469112054272.47530887945727
1001413.89116556168690.108834438313056
101910.2593802311929-1.25938023119287
1021311.38760247188011.61239752811987
103119.065220932738641.93477906726136
1041011.9457960705909-1.94579607059089
105610.0273934103186-4.02739341031865
10688.39056873028816-0.390568730288156
1071011.4319914342948-1.43199143429479
108107.857857874760112.14214212523989
109108.933554451528641.06644554847136
1101212.0502741750573-0.0502741750573411
111109.680713847085670.319286152914328
11299.01387427623435-0.0138742762343448
11397.673287471902421.32671252809758
114119.431169418165021.56883058183498
11578.0289016846006-1.02890168460060
11678.8372557113458-1.83725571134581
11757.95064640131373-2.95064640131373
11898.842916557978270.157083442021736
119119.828029747082231.17197025291777
1201512.26699495751722.73300504248278
12198.031543105897670.968456894102328
12299.46720704583193-0.467207045831931
12389.51378642904974-1.51378642904975
1241315.1340650336149-2.13406503361495
1251010.3946259832878-0.394625983287812
1261311.33894869248321.66105130751682
12797.518174283920641.48182571607936
128119.588934397082891.41106560291711
129810.7738589128412-2.77385891284124
130109.37075421615550.629245783844505
13198.847922044186420.152077955813578
13287.942310697449370.0576893025506331
13387.76865119207120.231348807928797
1341310.41461475890152.58538524109854
1351110.90053427438880.0994657256111754
136810.1491084527023-2.14910845270229
1371210.25024989991421.74975010008577
1381511.78983910715693.21016089284307
1391111.2710971912694-0.271097191269415
1401010.2216210600961-0.221621060096082
14157.95064640131373-2.95064640131373
142117.246214654240163.75378534575984


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.8258484809910680.3483030380178630.174151519008932
210.8792721987070350.241455602585930.120727801292965
220.8152568986899070.3694862026201860.184743101310093
230.7393273850052780.5213452299894450.260672614994722
240.8590773242224840.2818453515550320.140922675777516
250.8034675734950010.3930648530099980.196532426504999
260.7303336262260640.5393327475478720.269666373773936
270.9507840414455150.0984319171089710.0492159585544855
280.9302443586538060.1395112826923880.069755641346194
290.9046953469639150.1906093060721700.0953046530360849
300.9562798738910180.08744025221796460.0437201261089823
310.945627908056650.1087441838867010.0543720919433504
320.9248384601300350.1503230797399310.0751615398699654
330.9059508892627550.1880982214744910.0940491107372453
340.9351384028835070.1297231942329860.064861597116493
350.9255313676305620.1489372647388750.0744686323694376
360.9147325196784180.1705349606431630.0852674803215817
370.9219413387829570.1561173224340860.0780586612170432
380.909136927971740.1817261440565210.0908630720282606
390.8908892499617820.2182215000764370.109110750038218
400.8624079437634370.2751841124731270.137592056236563
410.8531850979471880.2936298041056240.146814902052812
420.8519801311654170.2960397376691660.148019868834583
430.8560446729995870.2879106540008260.143955327000413
440.8326579010160990.3346841979678020.167342098983901
450.8002841535564750.399431692887050.199715846443525
460.7575657015340980.4848685969318040.242434298465902
470.7725962524411460.4548074951177090.227403747558854
480.7315422165622980.5369155668754030.268457783437702
490.7858673572836390.4282652854327220.214132642716361
500.752098820960360.4958023580792790.247901179039640
510.7492849142919760.5014301714160490.250715085708024
520.7068887737261270.5862224525477460.293111226273873
530.8009569862584010.3980860274831970.199043013741599
540.7743389541876020.4513220916247960.225661045812398
550.8194030232931580.3611939534136830.180596976706842
560.8451503383175170.3096993233649650.154849661682483
570.8735047910690030.2529904178619940.126495208930997
580.8439974352319890.3120051295360230.156002564768011
590.829968249712390.3400635005752200.170031750287610
600.9643481554725160.0713036890549690.0356518445274845
610.9554350017403470.08912999651930560.0445649982596528
620.9552029089689650.0895941820620710.0447970910310355
630.956269555847840.08746088830431940.0437304441521597
640.9500130134645410.09997397307091730.0499869865354587
650.9467315015582660.1065369968834680.0532684984417338
660.9459067394083770.1081865211832450.0540932605916226
670.936720134477620.1265597310447590.0632798655223796
680.9190414345643370.1619171308713260.080958565435663
690.922751122262290.1544977554754210.0772488777377105
700.9411101543664560.1177796912670880.0588898456335438
710.9250562659276820.1498874681446360.074943734072318
720.9044570899349380.1910858201301240.0955429100650622
730.9139619814554760.1720760370890470.0860380185445236
740.8906255955766120.2187488088467770.109374404423388
750.885300933645680.2293981327086410.114699066354320
760.8785802347795310.2428395304409370.121419765220469
770.8664838216337860.2670323567324290.133516178366214
780.842297643047110.3154047139057790.157702356952890
790.8065555879126170.3868888241747670.193444412087383
800.7738443210801620.4523113578396750.226155678919838
810.8137633552904070.3724732894191850.186236644709593
820.8213454744246990.3573090511506030.178654525575302
830.7824249076848360.4351501846303280.217575092315164
840.7631007003815410.4737985992369180.236899299618459
850.7181529385527150.563694122894570.281847061447285
860.8262657478088870.3474685043822250.173734252191113
870.7972293863068720.4055412273862570.202770613693128
880.7545638165870950.490872366825810.245436183412905
890.7071442255041110.5857115489917780.292855774495889
900.713208802377750.5735823952445010.286791197622250
910.6644373976491560.6711252047016890.335562602350844
920.6541383232317450.6917233535365090.345861676768255
930.6451143486816990.7097713026366020.354885651318301
940.6007192189876650.798561562024670.399280781012335
950.6469581739801710.7060836520396580.353041826019829
960.6191725905969920.7616548188060170.380827409403008
970.6088033670753640.7823932658492710.391196632924636
980.5591475600787670.8817048798424650.440852439921233
990.5399552718024070.9200894563951870.460044728197593
1000.5288180209190960.9423639581618080.471181979080904
1010.5310041011761970.9379917976476060.468995898823803
1020.6144838396873490.7710323206253030.385516160312651
1030.5836422491859710.8327155016280590.416357750814029
1040.6076749924368220.7846500151263560.392325007563178
1050.7058277537197630.5883444925604730.294172246280237
1060.6769102985440170.6461794029119660.323089701455983
1070.6870548776076240.6258902447847530.312945122392376
1080.6609525893351920.6780948213296160.339047410664808
1090.5987011279442010.8025977441115980.401298872055799
1100.6310330481033150.7379339037933710.368966951896685
1110.5653681384452830.8692637231094340.434631861554717
1120.4916104591301770.9832209182603540.508389540869823
1130.4194269178896320.8388538357792650.580573082110368
1140.3972581521310750.7945163042621510.602741847868925
1150.3472697542229340.6945395084458680.652730245777066
1160.2978675831568590.5957351663137180.702132416843141
1170.2768312620497450.553662524099490.723168737950255
1180.1997582693836250.399516538767250.800241730616375
1190.133767822923250.26753564584650.86623217707675
1200.1007988819891720.2015977639783440.899201118010828
1210.05642092915594080.1128418583118820.94357907084406
1220.02825891859208230.05651783718416470.971741081407918


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level80.0776699029126214OK