Multiple Linear Regression - Estimated Regression Equation
PStress[t] = + 8.27819374754516 -0.0998455093402849AGE[t] -0.0296434868412883BelInSprt[t] + 0.18758282353857KunnenRekRel[t] -0.147444084185755ExtraCurAct[t] -0.0155460018121020VerandVorigJr[t] -0.049878292885695VerwOuders[t] + 0.0277617502408969KenStudenten[t] + 0.40099080714446Depressie[t] -0.195498581354292Slaapgebrek[t] + 0.22382136308123Toekomstzorgen[t] + 0.0934682172168758Rookgedrag[t] -0.131850122994891MateAlcCon[t] + 0.236074957597958MateGEzGevarEten[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8.278193747545162.5988163.18540.0018160.000908
AGE-0.09984550934028490.071276-1.40080.1636820.081841
BelInSprt-0.02964348684128830.018261-1.62340.1069740.053487
KunnenRekRel0.187582823538570.112261.6710.097170.048585
ExtraCurAct-0.1474440841857550.133048-1.10820.2698530.134926
VerandVorigJr-0.01554600181210200.102639-0.15150.8798490.439925
VerwOuders-0.0498782928856950.05016-0.99440.321910.160955
KenStudenten0.02776175024089690.0504720.550.5832480.291624
Depressie0.400990807144460.0652146.148800
Slaapgebrek-0.1954985813542920.097284-2.00960.046580.02329
Toekomstzorgen0.223821363081230.1189471.88170.062150.031075
Rookgedrag0.09346821721687580.1868320.50030.6177370.308868
MateAlcCon-0.1318501229948910.251493-0.52430.6009980.300499
MateGEzGevarEten0.2360749575979580.3389430.69650.4873770.243688


Multiple Linear Regression - Regression Statistics
Multiple R0.628342873454682
R-squared0.394814766621287
Adjusted R-squared0.333350641356261
F-TEST (value)6.42349931637188
F-TEST (DF numerator)13
F-TEST (DF denominator)128
p-value2.96510604957945e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.94846738382742
Sum Squared Residuals485.955218667425


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11010.3295093560924-0.329509356092414
267.96839101570389-1.96839101570389
31310.14961765808742.85038234191258
4129.713774607598962.28622539240104
5812.3252593338968-4.3252593338968
668.94400060000302-2.94400060000302
71013.2107401298339-3.21074012983387
8109.751210110384550.248789889615448
999.32282574240838-0.322825742408377
10910.3210675439694-1.32106754396936
1178.65996596086844-1.65996596086844
1259.38604194230615-4.38604194230615
131412.72014162559351.27985837440649
1468.89811127563807-2.89811127563807
151011.2153874744951-1.21538747449513
161010.6352843988103-0.635284398810316
1778.31195271637543-1.31195271637543
18109.353151011759530.646848988240468
1988.91043435879894-0.910434358798939
2067.4096708874879-1.40967088748789
211010.8620475742288-0.862047574228807
221210.09129985443741.90870014556261
2379.20900373023911-2.20900373023911
24158.97125871144136.0287412885587
2589.40627224121629-1.40627224121629
261010.2402977039064-0.240297703906412
271310.35722043488162.64277956511844
2888.56121615871997-0.56121615871997
291111.3994650494006-0.399465049400585
3079.60994731360776-2.60994731360776
3198.487541236025440.512458763974561
32109.482251659603130.517748340396871
3388.23901338905743-0.239013389057431
341513.21588490214131.78411509785868
35910.3341923065893-1.33419230658930
3678.04282624466055-1.04282624466055
37119.692210597600051.30778940239995
3897.936292771065041.06370722893496
3989.65070677964992-1.65070677964992
4087.742671962201760.257328037798243
41128.606697533096233.39330246690377
42139.744864732273483.25513526772653
4399.30831986535724-0.308319865357237
44119.368598534397051.63140146560295
4588.69165359250469-0.691653592504686
461010.9096033768969-0.909603376896922
471312.72030001779920.279699982200848
481210.89774550236251.1022544976375
491210.10353960487651.89646039512346
5098.90557018966440.0944298103356004
51810.0563203608934-2.05632036089338
5298.550159742273560.449840257726438
53128.466337626294413.53366237370559
541211.44170670439510.558293295604887
551614.33908902149921.66091097850075
56118.740417270389352.25958272961065
57139.65481140654613.34518859345391
581010.7282845843357-0.728284584335746
59910.9177623409140-1.91776234091404
601410.17985236014973.82014763985035
611311.79403722935931.20596277064073
621210.24827181336611.75172818663389
63910.9401867149500-1.94018671494997
64910.4289121158514-1.42891211585138
651011.1293997846369-1.12939978463687
66810.3355384310652-2.33553843106519
67910.3539654331024-1.35396543310244
6899.1596020957055-0.159602095705508
69118.602683104414342.39731689558566
7079.1983165082478-2.1983165082478
711111.4247175610532-0.424717561053238
7299.4664149141439-0.466414914143892
73118.839056634474422.16094336552558
7499.1680379298611-0.168037929861102
75810.1334861404498-2.13348614044980
7698.100370007513950.899629992486047
7789.53261001659409-1.53261001659409
7899.46000198095027-0.460001980950268
79109.797870290467690.202129709532314
80910.0102282385258-1.01022823852581
811713.88184979566813.11815020433193
8279.60246315239215-2.60246315239215
831111.1791700963881-0.179170096388071
84910.0473574021618-1.04735740216184
85109.920435969971060.0795640300289396
86118.424673102185652.57532689781435
8788.49119790548052-0.491197905480517
881212.0506247904276-0.0506247904276325
891010.0625426656147-0.0625426656147502
9079.04301720231648-2.04301720231648
9198.674920758837950.325079241162049
9278.25373171181212-1.25373171181212
931210.48837434402611.51162565597386
9489.18993403148611-1.18993403148611
951310.33831273279782.66168726720224
96911.1635887738345-2.16358877383446
971512.77902299040092.22097700959914
9889.10329991550478-1.10329991550478
991411.93424525259592.06575474740409
1001413.76748919014140.232510809858569
101910.3858399157176-1.38583991571757
1021311.44272286732201.55727713267797
103119.290960715260471.70903928473953
1041011.7568778947816-1.75687789478165
10569.91527672190481-3.91527672190481
10688.35810579320368-0.358105793203678
1071011.4763057351964-1.47630573519640
108108.057151449780851.94284855021915
109109.314006331573940.685993668426065
1101212.1091247890297-0.109124789029656
111109.4721978143220.527802185677994
11299.19204743917179-0.192047439171790
11397.420830997370231.57916900262977
114119.225570623506721.77442937649328
11578.17452156666495-1.17452156666495
11678.92838174917736-1.92838174917736
11757.84981479877876-2.84981479877876
11898.98474784985870.0152521501412979
1191111.7714294450356-0.771429445035647
1201512.04445466509332.95554533490672
12197.904912457585541.09508754241446
12299.4405031891988-0.440503189198792
12389.21943442324335-1.21943442324335
1241315.4242750118656-2.42427501186561
1251010.3885123000406-0.388512300040590
1261311.34306882028361.65693117971635
12797.866148026997641.13385197300236
128119.37776754196871.62223245803131
129810.3226206044035-2.32262060440353
130109.252394549618050.747605450381946
13198.74359781609120.256402183908801
13288.61205217478287-0.612052174782866
13387.905857772968540.0941422270314624
1341310.6468963344732.35310366552699
1351110.94583678841600.0541632115840376
13689.40627224121629-1.40627224121629
137129.83542129796582.16457870203421
1381511.67111371921063.32888628078939
1391111.1791700963881-0.179170096388071
1401010.5120409386982-0.512040938698177
14157.84981479877876-2.84981479877876
142117.062168466573923.93783153342608


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.9338340524218350.1323318951563290.0661659475781645
180.9205177532778350.158964493444330.079482246722165
190.8922833953499440.2154332093001110.107716604650056
200.9636474454116440.07270510917671240.0363525545883562
210.9374599656844020.1250800686311970.0625400343155983
220.9489228168425760.1021543663148470.0510771831574237
230.9296873374342210.1406253251315570.0703126625657785
240.9842398265118080.03152034697638380.0157601734881919
250.9748904387137720.05021912257245510.0251095612862276
260.962381979884820.07523604023035850.0376180201151792
270.9822936116830970.03541277663380540.0177063883169027
280.9817539108252990.03649217834940220.0182460891747011
290.9725158325631250.05496833487375010.0274841674368751
300.9751225637356080.04975487252878430.0248774362643922
310.9759526160397360.04809476792052810.0240473839602641
320.9646392545845740.07072149083085230.0353607454154261
330.9490575874568190.1018848250863630.0509424125431813
340.9687994323070.06240113538600160.0312005676930008
350.9596308229254780.0807383541490450.0403691770745225
360.948563545207130.1028729095857390.0514364547928693
370.9405816967710450.1188366064579100.0594183032289549
380.9223230580227390.1553538839545220.0776769419772612
390.9088833652866810.1822332694266370.0911166347133187
400.8836458353456030.2327083293087940.116354164654397
410.9381834373606450.1236331252787110.0618165626393554
420.9561895710849930.08762085783001390.0438104289150069
430.9423351933326110.1153296133347770.0576648066673887
440.9329175875503180.1341648248993650.0670824124496825
450.9142081135578840.1715837728842320.0857918864421161
460.8964673184563590.2070653630872820.103532681543641
470.8753786219469920.2492427561060160.124621378053008
480.8509332903221790.2981334193556420.149066709677821
490.8505778052803510.2988443894392980.149422194719649
500.8156809251580680.3686381496838630.184319074841932
510.807115112672640.3857697746547190.192884887327359
520.7713374053629380.4573251892741240.228662594637062
530.8497638079351240.3004723841297530.150236192064876
540.8189299367305820.3621401265388360.181070063269418
550.8216892729021290.3566214541957430.178310727097871
560.8702139155808080.2595721688383830.129786084419192
570.9054701233867720.1890597532264550.0945298766132277
580.8824074989658580.2351850020682840.117592501034142
590.8744270735765780.2511458528468440.125572926423422
600.9427494708940810.1145010582118370.0572505291059186
610.9319871301071080.1360257397857840.0680128698928922
620.9301990873864830.1396018252270340.0698009126135168
630.9383097510050650.1233804979898710.0616902489949353
640.9311942306662930.1376115386674140.0688057693337072
650.9326970011093480.1346059977813050.0673029988906523
660.9344093374059830.1311813251880330.0655906625940166
670.9274491400768730.1451017198462550.0725508599231275
680.9097996801412450.1804006397175100.0902003198587548
690.9211875765445230.1576248469109540.0788124234554771
700.9326847590578390.1346304818843220.067315240942161
710.9151971612299750.1696056775400510.0848028387700255
720.8949247761496720.2101504477006570.105075223850328
730.9088038393611630.1823923212776730.0911961606388365
740.8853041605596050.2293916788807910.114695839440395
750.8843066048251590.2313867903496830.115693395174841
760.8684688770052390.2630622459895230.131531122994761
770.8586368187851140.2827263624297720.141363181214886
780.8399005803652140.3201988392695720.160099419634786
790.8057063685417870.3885872629164260.194293631458213
800.7770378245795050.445924350840990.222962175420495
810.8297554162676130.3404891674647740.170244583732387
820.8472348905874560.3055302188250880.152765109412544
830.817452592646060.3650948147078820.182547407353941
840.8019856422852040.3960287154295910.198014357714796
850.7631743206847580.4736513586304840.236825679315242
860.858603440725970.2827931185480590.141396559274030
870.8280451556480310.3439096887039380.171954844351969
880.7905127562471760.4189744875056490.209487243752824
890.747919464493410.504161071013180.25208053550659
900.7600908218026530.4798183563946940.239909178197347
910.717359772286910.5652804554261790.282640227713090
920.6977808058620180.6044383882759640.302219194137982
930.6899579792800610.6200840414398780.310042020719939
940.6564758314661340.6870483370677330.343524168533866
950.6958374100750050.608325179849990.304162589924995
960.6796767782837780.6406464434324430.320323221716222
970.666298365742070.6674032685158610.333701634257931
980.6244101949669750.751179610066050.375589805033025
990.6074130334103970.7851739331792060.392586966589603
1000.611006980673640.777986038652720.38899301932636
1010.6319643182912540.7360713634174910.368035681708746
1020.6995592625185440.6008814749629110.300440737481456
1030.6722352160195860.6555295679608280.327764783980414
1040.6621369892888820.6757260214222360.337863010711118
1050.7938085716987750.412382856602450.206191428301225
1060.7988230416356010.4023539167287970.201176958364399
1070.8052979077793920.3894041844412150.194702092220608
1080.7771787533324520.4456424933350960.222821246667548
1090.7290906435818250.541818712836350.270909356418175
1100.6874677386032570.6250645227934860.312532261396743
1110.6547769377262870.6904461245474270.345223062273714
1120.581516796085080.8369664078298390.418483203914920
1130.5327843919136620.9344312161726770.467215608086338
1140.4886670528332570.9773341056665150.511332947166743
1150.4124755353572170.8249510707144340.587524464642783
1160.3425395358819260.6850790717638520.657460464118074
1170.3685518435894640.7371036871789270.631448156410536
1180.2862162164360220.5724324328720450.713783783563978
1190.2169088290476110.4338176580952210.78309117095239
1200.1918756900321940.3837513800643880.808124309967806
1210.1313372776327450.2626745552654900.868662722367255
1220.08372630288930590.1674526057786120.916273697110694
1230.06089246093424490.1217849218684900.939107539065755
1240.1271491814472960.2542983628945920.872850818552704
1250.1962914796060360.3925829592120720.803708520393964


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level50.0458715596330275OK
10% type I error level130.119266055045872NOK