Multiple Linear Regression - Estimated Regression Equation
PStress[t] = + 5.25986734334252 -0.0356695703760594BelInSprt[t] + 0.162920650667659KunnenRekRel[t] -0.149394398367188ExtraCurAct[t] -0.0485862018705257Verwouders[t] + 0.0628810522000706Populariteit[t] + 0.399104485306294Depressie[t] -0.180064637594153Slaapgebrek[t] + 0.218592098994588ToekZorgen[t] -0.0278347970425497PersStand[t] + 0.0512352154322369MateGeorgZijn[t] + 0.274485494053298`Eetgewoonten `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.259867343342522.3329392.25460.0258310.012915
BelInSprt-0.03566957037605940.017485-2.040.0433770.021689
KunnenRekRel0.1629206506676590.1112631.46430.1455310.072766
ExtraCurAct-0.1493943983671880.128863-1.15930.2484490.124225
Verwouders-0.04858620187052570.051476-0.94390.3469870.173494
Populariteit0.06288105220007060.0581941.08050.28190.14095
Depressie0.3991044853062940.0641746.219100
Slaapgebrek-0.1800646375941530.095025-1.89490.0603240.030162
ToekZorgen0.2185920989945880.1186931.84170.0678040.033902
PersStand-0.02783479704254970.045309-0.61430.540070.270035
MateGeorgZijn0.05123521543223690.0490321.04490.2979890.148994
`Eetgewoonten `0.2744854940532980.3362250.81640.4157790.20789


Multiple Linear Regression - Regression Statistics
Multiple R0.627502539554768
R-squared0.393759437147683
Adjusted R-squared0.342462158752487
F-TEST (value)7.67602979078433
F-TEST (DF numerator)11
F-TEST (DF denominator)130
p-value4.1419778717966e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.93510610595773
Sum Squared Residuals486.802633370934


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11010.3981109080137-0.398110908013729
267.9307644073114-1.9307644073114
31310.24463935484742.75536064515261
4129.690553688334482.30944631166553
5812.3877245340208-4.38772453402081
668.94023575027133-2.94023575027133
71012.5675446540060-2.56754465400602
81010.0492825674870-0.0492825674870383
999.2234580613084-0.223458061308392
10910.2561427858389-1.25614278583888
1179.0956231693256-2.09562316932559
1259.00027131926342-4.00027131926342
131412.47979162725591.52020837274413
1468.80274174681465-2.80274174681465
151011.5769840172752-1.57698401727518
161010.7243402999109-0.724340299910876
1778.19431898730253-1.19431898730253
18109.318793010583240.681206989416764
1989.319515426293-1.31951542629299
2067.20287855468407-1.20287855468407
211010.9913651602625-0.991365160262543
221210.10033402262331.89966597737672
2379.27856605897553-2.27856605897553
24158.731549103038796.26845089696121
25810.1061066504412-2.10610665044122
26109.951114228789070.0488857712109341
271310.54739027573472.45260972426531
2887.857524274669950.142475725330050
291111.1326201089110-0.132620108911009
3079.6835796832557-2.68357968325569
3198.251721652807490.748278347192514
32109.569533938311140.430466061688862
3388.00479404745797-0.0047940474579675
341513.35320687983521.64679312016478
35910.0967881638929-1.09678816389294
3678.32709910760245-1.32709910760245
37119.476658618376841.52334138162316
3897.906745536430831.09325446356917
3989.75241055995031-1.75241055995031
4087.946863476251220.0531365237487764
41128.903190096238353.09680990376165
421310.24814221666602.75185778333403
4398.964733412858340.0352665871416619
44119.369588364839151.63041163516085
4588.21249800844928-0.212498008449276
461010.7058538796630-0.70585387966297
471312.40321303587540.596786964124592
481211.24663327351310.75336672648686
49129.607286124333182.39271387566682
5098.706243325510380.293756674489619
51810.2410357542843-2.2410357542843
5298.557626318007240.442373681992759
53128.424976493282643.57502350671736
541211.72916854465560.270831455344415
551614.26562099909651.73437900090345
56118.989552119087352.01044788091265
571310.31140393472292.68859606527706
581010.6043806251253-0.604380625125327
59910.4930309173501-1.49303091735006
60149.533722435544684.46627756445532
611312.02386737408690.976132625913069
621210.36867704576621.63132295423380
63910.9704701946977-1.97047019469774
64910.5620657528630-1.56206575286303
651011.2215090481749-1.22150904817487
66810.5261813542289-2.52618135422892
67910.3583406162232-1.35834061622320
6898.968568249029760.0314317509702444
69118.793661331646372.20633866835363
7079.66716176259284-2.66716176259284
711111.5494906558691-0.549490655869072
7299.05759852497023-0.0575985249702288
73118.920201064031122.07979893596888
7499.5046003349402-0.504600334940199
75810.2485637172436-2.24856371724359
7698.132160014046250.867839985953749
7789.17537537308887-1.17537537308887
7899.85183779669558-0.851837796695581
791010.2374896572663-0.237489657266274
8099.80237244222467-0.802372442224675
811713.93853725855233.06146274144766
8279.51395394474114-2.51395394474114
831111.2241087785954-0.224108778595412
8499.98558539165466-0.985585391654661
85109.72933456167710.270665438322909
86118.539723065787962.46027693421204
8788.21679797336594-0.216797973365939
881212.3408963627430-0.340896362742957
891010.1569392294030-0.156939229403048
9078.9166794745976-1.91667947459759
9198.924927538253140.0750724617468596
9278.31127672596746-1.31127672596746
931210.61191212683441.38808787316558
9489.39329723101702-1.39329723101702
951310.56246689716082.43753310283921
96910.8127248916724-1.81272489167239
971512.72991366505882.27008633494117
9889.54154819418306-1.54154819418306
991411.57061153537432.42938846462566
1001413.69414180248110.305858197518861
101910.270549884361-1.27054988436099
1021311.46072298877441.53927701122564
103119.127435910383981.87256408961602
1041011.9494520075191-1.94945200751907
105610.0784477328994-4.07844773289936
10688.44642226215375-0.446422262153754
1071011.4946303402216-1.49463034022156
108107.879565112020292.12043488797971
109108.725432915502621.27456708449738
1101212.1598856141247-0.159885614124670
111109.600035725123580.399964274876418
11299.06045856008726-0.0604585600872634
11397.597645630271181.40235436972881
114119.454217426339681.54578257366032
11578.09598356364117-1.09598356364117
11678.90290304289432-1.90290304289432
11757.9683552701553-2.96835527015529
11898.974397099097470.0256029009025346
119119.955271173736671.04472882626333
1201512.27358137680762.72641862319243
12198.116800013358840.883199986641165
12299.40529665852555-0.405296658525544
12389.49762161910805-1.49762161910805
1241315.2398428922856-2.23984289228564
1251010.3238172510627-0.323817251062680
1261311.31078337275721.68921662724279
12797.535616016523111.46438398347689
128119.635828735574021.36417126442598
129810.7003556913825-2.70035569138245
130109.21789725643490.782102743565107
13198.96251656281740.0374834371826047
13287.83496037941440.165039620585609
13387.855459013288220.144540986711776
1341310.43620223857992.5637977614201
1351110.81635935296520.183640647034757
136810.1061066504412-2.10610665044122
1371210.30534221496681.69465778503318
1381511.84054205512343.15945794487656
1391111.2241087785954-0.224108778595412
1401010.303389349951-0.303389349951004
14157.9683552701553-2.96835527015529
142117.244249734899033.75575026510097


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
150.929714778750610.1405704424987790.0702852212493896
160.9236247984547550.1527504030904900.0763752015452451
170.887440753265730.225118493468540.11255924673427
180.8256548986386060.3486902027227880.174345101361394
190.8058548028633170.3882903942733660.194145197136683
200.7822110869546850.4355778260906310.217788913045315
210.7113687654385260.5772624691229470.288631234561474
220.8197115130075940.3605769739848110.180288486992406
230.7917470463480540.4165059073038910.208252953651946
240.9506863787440250.09862724251194920.0493136212559746
250.9406265420896820.1187469158206370.0593734579103184
260.914123700222150.1717525995557010.0858762997778506
270.9579992653816670.08400146923666660.0420007346183333
280.938811658124730.1223766837505400.06118834187527
290.9153508571878830.1692982856242330.0846491428121165
300.969994593418240.0600108131635190.0300054065817595
310.9691398625867620.06172027482647550.0308601374132378
320.959409014828960.08118197034207890.0405909851710394
330.9440036400174490.1119927199651030.0559963599825513
340.9500667338187390.09986653236252260.0499332661812613
350.9342464550006510.1315070899986980.0657535449993488
360.9240982063193730.1518035873612540.0759017936806268
370.9120400133900850.1759199732198300.0879599866099148
380.8897596716829520.2204806566340970.110240328317048
390.8714245713320920.2571508573358160.128575428667908
400.8544228647134950.291154270573010.145577135286505
410.8730820473052220.2538359053895560.126917952694778
420.8790023371002780.2419953257994450.120997662899722
430.8543948395192120.2912103209615760.145605160480788
440.8329467970330820.3341064059338370.167053202966918
450.804032811940840.391934376118320.19596718805916
460.7644239859694240.4711520280611510.235576014030576
470.771789784733090.4564204305338220.228210215266911
480.7329223206480860.5341553587038280.267077679351914
490.7620220371735520.4759559256528950.237977962826448
500.7274216808296430.5451566383407130.272578319170357
510.7320258700333910.5359482599332180.267974129966609
520.6910883798112130.6178232403775740.308911620188787
530.7838243334501390.4323513330997220.216175666549861
540.7455374436430840.5089251127138320.254462556356916
550.777385785697180.4452284286056400.222614214302820
560.8130467700740560.3739064598518870.186953229925944
570.8416784355786540.3166431288426930.158321564421347
580.808771017992770.3824579640144610.191228982007231
590.79630471255910.4073905748817990.203695287440900
600.9537713843472920.09245723130541540.0462286156527077
610.9438463942009540.1123072115980910.0561536057990457
620.9391819441502730.1216361116994540.060818055849727
630.9412855065876880.1174289868246250.0587144934123124
640.9362852530105110.1274294939789780.0637147469894889
650.935714227278020.1285715454439610.0642857727219803
660.942095394212830.1158092115743400.0579046057871702
670.9331271627160670.1337456745678650.0668728372839326
680.9150587171059690.1698825657880620.084941282894031
690.9241779903442990.1516440193114020.0758220096557012
700.93950115187740.1209976962452010.0604988481226003
710.924712278419320.1505754431613590.0752877215806795
720.9060161492729720.1879677014540560.0939838507270279
730.910513010183740.1789739796325200.0894869898162599
740.8892128975630230.2215742048739540.110787102436977
750.8915001216584630.2169997566830750.108499878341537
760.8800424346917250.2399151306165490.119957565308275
770.8678774854269010.2642450291461970.132122514573099
780.8483606144024930.3032787711950150.151639385597507
790.8155397453836730.3689205092326530.184460254616326
800.7868156087895140.4263687824209730.213184391210486
810.8380148027242510.3239703945514970.161985197275749
820.8553501761119010.2892996477761970.144649823888099
830.8257785993298180.3484428013403630.174221400670182
840.8139855186024510.3720289627950980.186014481397549
850.777849522587660.4443009548246800.222150477412340
860.8651776035989350.269644792802130.134822396401065
870.8415522622395660.3168954755208670.158447737760434
880.8067508360966940.3864983278066120.193249163903306
890.7689351343857050.462129731228590.231064865614295
900.7883252606266420.4233494787467160.211674739373358
910.7507269146220840.4985461707558310.249273085377916
920.7526918035306920.4946163929386160.247308196469308
930.7522509694490420.4954980611019150.247749030550958
940.7168107233453910.5663785533092170.283189276654609
950.7412922766781790.5174154466436430.258707723321821
960.7156346539641310.5687306920717370.284365346035869
970.7164784026920040.5670431946159910.283521597307996
980.6801932394970660.6396135210058690.319806760502934
990.6621470686808940.6757058626382120.337852931319106
1000.6660443106146490.6679113787707030.333955689385351
1010.6755642447600690.6488715104798620.324435755239931
1020.7334386189650270.5331227620699460.266561381034973
1030.7276811436483520.5446377127032960.272318856351648
1040.7215663058941130.5568673882117750.278433694105887
1050.8353398384564050.3293203230871890.164660161543595
1060.7960052752126150.4079894495747700.203994724787385
1070.817297460487520.365405079024960.18270253951248
1080.8110349168830640.3779301662338720.188965083116936
1090.7778660373115340.4442679253769330.222133962688466
1100.8305573054852850.3388853890294310.169442694514715
1110.7870466692846470.4259066614307060.212953330715353
1120.7443794803654270.5112410392691470.255620519634573
1130.6908950467749840.6182099064500320.309104953225016
1140.6589285424053520.6821429151892950.341071457594648
1150.6200226769244290.7599546461511420.379977323075571
1160.5568284058925570.8863431882148850.443171594107443
1170.5870780015009140.8258439969981710.412921998499086
1180.505549975802180.988900048395640.49445002419782
1190.4201522018927290.8403044037854570.579847798107271
1200.4092490325501560.8184980651003120.590750967449844
1210.3313635999997210.6627271999994410.66863640000028
1220.2456401763159160.4912803526318310.754359823684084
1230.1734556476448810.3469112952897630.826544352355119
1240.2833859227774390.5667718455548780.716614077222561
1250.3047758632227500.6095517264454990.69522413677725
1260.2321584802093270.4643169604186540.767841519790673
1270.2120775140855220.4241550281710450.787922485914478


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 level70.0619469026548673OK