Multiple Linear Regression - Estimated Regression Equation
PStress[t] = + 8.87667015706705 -0.104269855315633AGE[t] -0.0321581842806803BelInSprt[t] + 0.206721936465705KunnenRekRel[t] -0.130417643958898ExtraCurAct[t] + 0.394290032329484Depressie[t] -0.21057047824519Slaapgebrek[t] + 0.199757036190737ToekZorgen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8.876670157067052.1247244.17785.3e-052.6e-05
AGE-0.1042698553156330.066665-1.56410.1201560.060078
BelInSprt-0.03215818428068030.016627-1.9340.0552150.027608
KunnenRekRel0.2067219364657050.1082081.91040.0582160.029108
ExtraCurAct-0.1304176439588980.122977-1.06050.2908250.145412
Depressie0.3942900323294840.0619756.36200
Slaapgebrek-0.210570478245190.092495-2.27660.0243980.012199
ToekZorgen0.1997570361907370.1128051.77080.0788650.039432


Multiple Linear Regression - Regression Statistics
Multiple R0.62053624959846
R-squared0.385065237065722
Adjusted R-squared0.352941779300498
F-TEST (value)11.9870419890660
F-TEST (DF numerator)7
F-TEST (DF denominator)134
p-value8.17634848715443e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.91962362912285
Sum Squared Residuals493.783953583226


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11010.5479949856644-0.547994985664375
268.05996078062547-2.05996078062547
31310.19765871776372.80234128223626
4129.743384016916572.25661598308343
5812.2400283425347-4.24002834253465
669.22117952429092-3.22117952429092
71013.5022351838557-3.50223518385569
8109.712913612946820.287086387053182
999.55035169116469-0.550351691164693
10910.5084914452101-1.50849144521014
1178.63762125564634-1.63762125564634
1259.61165724858504-4.61165724858504
131412.29903180017201.70096819982803
1468.8696422334325-2.86964223343249
151010.9900628549881-0.990062854988088
161010.6138689553686-0.613868955368622
1778.58161194166143-1.58161194166143
181010.0197162921331-0.0197162921331297
1989.264086823932-1.26408682393200
2067.48161444295916-1.48161444295916
211010.486680960054-0.486680960054003
221210.53593331201841.46406668798160
2379.00406855318125-2.00406855318125
24158.82047692109896.1795230789011
2589.14680081939226-1.14680081939227
261010.3295620332627-0.329562033262679
271310.54103666340702.45896333659299
2888.62467673249671-0.624676732496711
291111.4816930537877-0.481693053787729
3079.2817211007733-2.28172110077331
3198.345661069486470.654338930513528
32109.367973059106980.63202694089302
3388.17882223648926-0.178822236489261
341512.82028743896432.17971256103567
35910.0104168103958-1.01041681039584
3678.06684136844327-1.06684136844327
37119.366305948584521.63369405141548
3898.047799675927350.952200324072646
3989.69273044833138-1.69273044833138
4087.974195732620810.0258042673791896
41128.785514592862973.21448540713703
421310.03435869856802.96564130143203
4399.4951911245026-0.495191124502602
44119.248285637134741.75171436286526
4589.17819275664686-1.17819275664686
461010.8729522037796-0.872952203779624
471312.84472514014740.155274859852624
481211.05292601355130.947073986448677
491210.22207745807491.77792254192515
5098.714190347088880.285809652911115
5189.87451993770201-1.87451993770201
5298.719461183641650.280538816358349
53128.23644403476753.76355596523249
541211.41189854888080.588101451119181
551614.07833979129711.92166020870292
56119.159881295310411.84011870468959
57139.66548534127323.33451465872681
581010.5489186948252-0.548918694825226
59910.4413195102797-1.44131951027968
60149.72621719192174.27378280807829
611311.55560477296781.44439522703222
621210.48050692152941.51949307847062
63910.8833562372704-1.88335623727041
64910.2730354588327-1.27303545883274
651010.8227666521497-0.822766652149711
66810.5638390315842-2.56383903158416
6799.87573070069794-0.875730700697939
6898.691402910260380.308597089739623
69118.441148250361582.55885174963842
7079.25953412174369-2.25953412174369
711111.6239567932327-0.623956793232679
7299.13723232052656-0.137232320526557
73118.712800894998122.28719910500188
7499.26228853206425-0.262288532064248
75810.2095835641493-2.20958356414931
7698.39939471546220.60060528453779
7789.38634052140954-1.38634052140954
7899.33600656330263-0.336006563302625
79109.837305862421470.162694137578529
8099.87344367472564-0.873443674725642
811713.82579352687373.17420647312629
8279.59162713907362-2.59162713907362
831110.74321928271600.256780717284018
8499.84857867378243-0.848578673782434
85109.961098084531570.0389019154684335
86119.006227242797121.99377275720288
8788.8306162754021-0.830616275402092
881212.0660693644905-0.0660693644905469
891010.0488787114804-0.0488787114804262
9079.17878927513459-2.17878927513459
9198.660446161070430.339553838929566
9278.51333576566367-1.51333576566367
931210.66455872070131.33544127929872
9489.4788554994894-1.4788554994894
951310.28969729505582.71030270494425
96911.1698974910867-2.16989749108668
971512.77283895470802.22716104529196
9888.77335961225478-0.773359612254775
991411.77382091235812.22617908764191
1001414.1238006273393-0.123800627339295
101910.3525326179901-1.35253261799014
1021311.95442861411181.04557138588818
103119.185193305419751.81480669458025
1041011.5293391406500-1.52933914064999
105610.2707668454828-4.27076684548282
10688.12892006159349-0.128920061593489
1071011.2141827729859-1.21418277298591
108107.890172191867832.10982780813217
109109.28846265738010.71153734261991
1101212.0663643431552-0.0663643431552397
111109.604809264771240.395190735228758
11299.18495391336668-0.18495391336668
11397.203193430978181.79680656902182
114119.15213936735521.84786063264479
11578.12378793433091-1.12378793433091
11678.71254454153847-1.71254454153847
11758.11263330493375-3.11263330493375
11899.21475404914818-0.214754049148183
1191111.7333379889673-0.733337988967322
1201511.88855569394563.11144430605437
12197.709029408547311.29097059145269
12299.19195058858166-0.191950588581656
12389.26922452703493-1.26922452703493
1241315.7760295793906-2.77602957939064
1251010.4304302239581-0.430430223958086
1261311.57777333937501.42222666062498
12798.24514638148990.754853618510096
128119.60717595457371.39282404542630
129810.2466742936676-2.24667429366758
130109.154005399692550.845994600307451
13198.8671272151650.132872784834995
13288.49789270747833-0.497892707478333
13388.06017966548954-0.0601796654895347
1341310.39968040527932.60031959472070
1351111.0299940371696-0.0299940371696264
13689.14680081939226-1.14680081939227
137129.954141605085822.04585839491418
1381511.76752184418123.23247815581881
1391110.74321928271600.256780717284018
1401010.2291116719602-0.229111671960160
14158.11263330493375-3.11263330493375
142117.138702999235053.86129700076495


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.900325251156960.1993494976860790.0996747488430396
120.9884257571053360.0231484857893290.0115742428946645
130.9845834077813130.03083318443737450.0154165922186873
140.9829162726165210.03416745476695720.0170837273834786
150.9780435131269840.04391297374603140.0219564868730157
160.9619955952928210.07600880941435740.0380044047071787
170.943231588133390.1135368237332190.0567684118666096
180.9453906377405780.1092187245188450.0546093622594225
190.9304646531861870.1390706936276270.0695353468138134
200.9009330698543610.1981338602912780.0990669301456388
210.868781935043150.2624361299137020.131218064956851
220.8828289663185720.2343420673628550.117171033681428
230.8517328462068960.2965343075862090.148267153793104
240.9833310110686760.03333797786264720.0166689889313236
250.9767674707856150.04646505842877040.0232325292143852
260.9688325278332690.0623349443334630.0311674721667315
270.9831638337476560.03367233250468730.0168361662523437
280.9773044319456680.04539113610866320.0226955680543316
290.9707294204501680.0585411590996640.029270579549832
300.9699155692627120.06016886147457620.0300844307372881
310.960644258065290.07871148386942160.0393557419347108
320.946143980226810.1077120395463820.0538560197731908
330.9279493948443410.1441012103113180.0720506051556591
340.94425800396730.1114839920654020.0557419960327008
350.9303188846200450.1393622307599100.0696811153799548
360.9106251830438820.1787496339122360.0893748169561178
370.9035669034543180.1928661930913630.0964330965456815
380.8793415282849350.2413169434301310.120658471715065
390.8603198112681340.2793603774637320.139680188731866
400.8269131464300220.3461737071399560.173086853569978
410.8966371013764070.2067257972471870.103362898623593
420.9160443690368960.1679112619262070.0839556309631035
430.8954743487882690.2090513024234620.104525651211731
440.8843585873025250.2312828253949490.115641412697474
450.8666791512932040.2666416974135920.133320848706796
460.8462514479923080.3074971040153830.153748552007691
470.8274429515950480.3451140968099030.172557048404952
480.8040640687483760.3918718625032480.195935931251624
490.8087283282364170.3825433435271670.191271671763583
500.7799078176040020.4401843647919960.220092182395998
510.7662437521705060.4675124956589870.233756247829494
520.7254270138664390.5491459722671220.274572986133561
530.846405831944350.30718833611130.15359416805565
540.815691126585480.3686177468290410.184308873414521
550.8315019211535160.3369961576929690.168498078846484
560.8511122140695680.2977755718608630.148887785930432
570.8950619394500750.209876121099850.104938060549925
580.8709518709124310.2580962581751380.129048129087569
590.8538189266418960.2923621467162080.146181073358104
600.9426503151941180.1146993696117640.0573496848058819
610.9358373933305380.1283252133389240.0641626066694622
620.9298470002230230.1403059995539550.0701529997769773
630.9352433336761020.1295133326477950.0647566663238976
640.9286806683122410.1426386633755180.0713193316877591
650.9292318483541140.1415363032917730.0707681516458864
660.9379493461162220.1241013077675550.0620506538837777
670.9258576957638290.1482846084723430.0741423042361714
680.9082328268675070.1835343462649860.091767173132493
690.9271788274003080.1456423451993840.0728211725996921
700.9406151899716050.1187696200567890.0593848100283946
710.9278931563225420.1442136873549160.0721068436774582
720.9123153031793780.1753693936412450.0876846968206224
730.927796446877210.1444071062455800.0722035531227898
740.9094025714843750.1811948570312500.0905974285156249
750.9120565697668170.1758868604663660.0879434302331828
760.8982419640502130.2035160718995730.101758035949787
770.8888214820395770.2223570359208450.111178517960423
780.8707315822789450.258536835442110.129268417721055
790.8421081951489510.3157836097020980.157891804851049
800.81803007653950.3639398469209990.181969923460499
810.8705520318580740.2588959362838520.129447968141926
820.8913956633530480.2172086732939040.108604336646952
830.8694973648791320.2610052702417350.130502635120868
840.8545941498594780.2908117002810440.145405850140522
850.8229488220433230.3541023559133540.177051177956677
860.8595827124325330.2808345751349330.140417287567467
870.8381178542309810.3237642915380380.161882145769019
880.8039038512978620.3921922974042770.196096148702138
890.7659277756254520.4681444487490960.234072224374548
900.7786814257494250.442637148501150.221318574250575
910.7405094963081240.5189810073837510.259490503691876
920.739933340894230.520133318211540.26006665910577
930.7152606750604890.5694786498790220.284739324939511
940.6903062189178890.6193875621642220.309693781082111
950.7514412354145340.4971175291709330.248558764585466
960.7460555557217820.5078888885564370.253944444278218
970.7461890105455970.5076219789088060.253810989454403
980.705489786989350.58902042602130.29451021301065
990.7177145336194610.5645709327610780.282285466380539
1000.7380391649161370.5239216701677270.261960835083863
1010.750202308418670.4995953831626590.249797691581330
1020.7268532667323610.5462934665352780.273146733267639
1030.7219266904307750.5561466191384510.278073309569225
1040.7068063957532450.5863872084935090.293193604246755
1050.8628872021933280.2742255956133450.137112797806672
1060.8357452267455950.3285095465088100.164254773254405
1070.8464130210474430.3071739579051150.153586978952558
1080.8295496821158130.3409006357683740.170450317884187
1090.8023259307417430.3953481385165140.197674069258257
1100.777481457936630.4450370841267390.222518542063370
1110.7788167134966310.4423665730067380.221183286503369
1120.7303077335538330.5393845328923340.269692266446167
1130.6843956843637730.6312086312724540.315604315636227
1140.657866916130470.684266167739060.34213308386953
1150.5952340152653250.8095319694693490.404765984734674
1160.5352753116919480.9294493766161030.464724688308052
1170.6449011363478190.7101977273043630.355098863652181
1180.5742790564233750.8514418871532510.425720943576625
1190.4994339181660130.9988678363320250.500566081833987
1200.5515033501444520.8969932997110960.448496649855548
1210.4746416774158180.9492833548316360.525358322584182
1220.3904790921336260.7809581842672520.609520907866374
1230.3432646097794810.6865292195589610.65673539022052
1240.428735932687770.857471865375540.57126406731223
1250.419538073893830.839076147787660.58046192610617
1260.3351103467660050.6702206935320090.664889653233995
1270.5447856768311090.9104286463377820.455214323168891
1280.4754644344112710.9509288688225430.524535565588729
1290.6935332216559160.6129335566881680.306466778344084
1300.558100394598680.8837992108026390.441899605401319
1310.8198405605263730.3603188789472530.180159439473627


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level80.0661157024793388NOK
10% type I error level130.107438016528926NOK