Multiple Linear Regression - Estimated Regression Equation
PStress[t] = + 7.6711792310796 -0.0928953860553277AGE[t] + 0.69427644065709Pstress_M[t] + 0.00132951929824787Pstress_OKT[t] -0.0313243922834601BelInSprt[t] + 0.191375049293081KunnenRekRel[t] + 0.407160247689161Depressie[t] -0.194751314134405Slaapgebrek[t] + 0.175770377072836`ToekZorgen `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7.67117923107962.1484883.57050.0004970.000248
AGE-0.09289538605532770.066865-1.38930.1670630.083532
Pstress_M0.694276440657090.338262.05250.0420830.021041
Pstress_OKT0.001329519298247870.333230.0040.9968230.498411
BelInSprt-0.03132439228346010.016238-1.92910.0558530.027926
KunnenRekRel0.1913750492930810.1077531.77610.0780110.039006
Depressie0.4071602476891610.0616586.603600
Slaapgebrek-0.1947513141344050.092416-2.10730.0369660.018483
`ToekZorgen `0.1757703770728360.1107891.58650.1149930.057496


Multiple Linear Regression - Regression Statistics
Multiple R0.631622752228292
R-squared0.398947301132442
Adjusted R-squared0.362793755335897
F-TEST (value)11.0348042589662
F-TEST (DF numerator)8
F-TEST (DF denominator)133
p-value7.2215566859768e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.90495367626601
Sum Squared Residuals482.636851659679


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11010.4135197581277-0.413519758127713
268.01904718397413-2.01904718397413
31310.01705268303942.98294731696057
41210.10177368913361.89822631086640
5812.0682646143497-4.06826461434965
669.13357551699705-3.13357551699705
71013.6659470920175-3.66594709201745
8109.413662009693050.586337990306955
999.11494938952846-0.11494938952846
10910.3633004692430-1.36330046924303
1178.61716125648139-1.61716125648139
1259.11849178911243-4.11849178911242
131412.79858866734741.20141133265259
1468.7133165670259-2.71331656702591
151011.4600353479947-1.46003534799474
161010.8658346375611-0.865834637561083
1778.60454639576637-1.60454639576637
181010.019553971927-0.0195539719270039
1989.13189604591151-1.13189604591151
2067.92827899558108-1.92827899558108
21109.983840595037840.0161594049621587
221210.36161434980071.63838565019932
2379.43876233482546-2.43876233482546
24158.643947518634366.35605248136564
2589.51463814528535-1.51463814528535
261010.0683265204327-0.0683265204326985
271310.86385095580982.13614904419023
2887.992531656920030.00746834307996646
291111.7460762041063-0.746076204106319
3079.11602718032351-2.11602718032351
3198.295428219737030.704571780262972
32109.915765234789990.0842347652100144
3388.3668160663047-0.366816066304697
341513.15874466546791.84125533453214
35910.3246406093041-1.32464060930412
3677.77509394879095-0.775093948790954
37119.767720212627121.23227978737288
3898.283747979192020.716252020807981
3989.5337377081574-1.53373770815739
4088.33405772978187-0.334057729781871
41128.362394815840973.63760518415903
42139.613147003991813.38685299600819
4399.10465888150667-0.104658881506675
44119.830144666604261.16985533339574
4588.89997186894347-0.899971868943468
461011.1108454986463-1.11084549864634
471313.2040964053036-0.204096405303569
481210.46469096113101.53530903886903
491210.36957934369971.63042065630031
5098.570433507107710.429566492892294
5189.66603333382005-1.66603333382005
5298.432325066634310.567674933365692
53128.617108825730393.38289117426961
541211.17977654621150.820223453788547
551614.31605615129621.68394384870376
56119.785261900943841.21473809905616
57139.211713925941253.78828607405876
581010.0302473713546-0.0302473713545974
5999.97576474771397-0.975764747713973
60149.988431104507744.01156889549226
611311.17270102609411.82729897390595
621210.77028457260361.22971542739642
63910.5031813250981-1.50318132509809
64911.0183168889372-2.01831688893717
651010.9119944917688-0.911994491768752
66810.0738968343792-2.07389683437918
6799.66846848852655-0.668468488526547
6898.916130026393990.0838699736060096
69119.073909170709871.92609082929013
7079.23413994659314-2.23413994659314
711111.3373732173340-0.337373217334017
7299.81974531239653-0.81974531239653
73119.282195434852861.71780456514714
7499.58207188627284-0.582071886272845
75810.2753911153100-2.27539111531005
7698.291385378989670.708614621010331
7789.64765934410316-1.64765934410316
7899.1370606178854-0.137060617885401
79109.40320357637750.596796423622493
80910.2440636456331-1.24406364563309
811713.81528753579673.18471246420325
8279.07837232864177-2.07837232864177
831110.83392115385520.166078846144771
8499.2734061692131-0.273406169213109
85109.601921150931350.398078849068647
86118.866646513511112.13335348648889
8788.50493029918662-0.504930299186625
881211.69688141931740.303118580682595
89109.496621250619780.503378749380216
9079.6279231599815-2.6279231599815
9199.0002190523059-0.000219052305901545
9278.27462486772217-1.27462486772217
931211.22156553601620.778434463983807
9489.47415476597007-1.47415476597007
951310.54443319677552.4555668032245
96911.0992586616482-2.09925866164824
971513.04410438070201.95589561929803
9888.67840885057-0.678408850570005
991411.9938226841162.00617731588401
1001413.73955648835740.260443511642557
101910.0186792766742-1.01867927667418
1021311.42633018758311.57366981241690
103118.66966156953442.3303384304656
1041011.9229874256271-1.92298742562706
10569.86457435479679-3.86457435479679
10688.64427002491804-0.644270024918035
1071010.9752609867872-0.975260986787247
108107.914449653271872.08555034672813
109109.453181940742750.54681805925725
1101211.36534119718120.634658802818793
111109.347061794647070.652938205352933
11299.0368003475435-0.0368003475435022
11396.981282622861032.01871737713897
114118.782563252695352.21743674730465
11578.51064924979036-1.51064924979036
11678.49269612671155-1.49269612671155
11758.08072701379303-3.08072701379303
11899.07511111164341-0.0751111116434137
1191111.6816142036233-0.681614203623329
1201512.42808180608052.57191819391945
12197.438471438554441.56152856144556
12299.71143835021613-0.711438350216127
12389.28322017144213-1.28322017144213
1241315.9025205273436-2.9025205273436
1251010.8189686267102-0.818968626710225
1261311.39670258905541.60329741094457
12798.239343726563280.760656273436715
1281110.19724386387620.802756136123795
129810.7296972594544-2.72969725945438
130108.851625188512171.14837481148783
13199.38812824994953-0.388128249949526
13288.43336675499014-0.433366754990136
13388.08378073489939-0.0837807348993903
1341310.84836176799342.15163823200663
1351111.0140004999754-0.0140004999754446
13689.51463814528535-1.51463814528535
137129.70222522374092.29777477625911
1381511.68694711615153.31305288384848
1391110.83392115385520.166078846144771
1401010.0642268276895-0.0642268276895192
14158.08072701379303-3.08072701379303
142117.09304301487433.9069569851257


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.995105089519110.00978982096178010.00489491048089005
130.9884361097998260.02312778040034810.0115638902001741
140.9822740637135810.03545187257283760.0177259362864188
150.9672012798533470.06559744029330510.0327987201466525
160.9436184567956660.1127630864086680.056381543204334
170.9159865818132860.1680268363734280.0840134181867142
180.8841644169267820.2316711661464360.115835583073218
190.8518293882234350.2963412235531310.148170611776565
200.8133447472181040.3733105055637930.186655252781896
210.8243243184512250.351351363097550.175675681548775
220.8779615341848380.2440769316303230.122038465815162
230.8576099537605660.2847800924788690.142390046239434
240.9904452218827060.01910955623458730.00955477811729367
250.9867029580194610.02659408396107740.0132970419805387
260.982570289726960.03485942054608130.0174297102730406
270.988510904039090.02297819192182030.0114890959609101
280.9825668722524430.03486625549511400.0174331277475570
290.9792718651098380.04145626978032310.0207281348901615
300.9783906876014190.04321862479716250.0216093123985812
310.9722030572965670.05559388540686690.0277969427034334
320.9615523113209640.07689537735807230.0384476886790361
330.9492374048723010.1015251902553980.0507625951276989
340.9552099477367950.08958010452640930.0447900522632046
350.9505705281278850.09885894374422930.0494294718721146
360.936816729334260.1263665413314810.0631832706657405
370.922035187288860.1559296254222790.0779648127111395
380.8992231721831420.2015536556337170.100776827816858
390.8902191375136390.2195617249727230.109780862486361
400.8655978379137870.2688043241724260.134402162086213
410.9351979823238370.1296040353523250.0648020176761626
420.9528846826366370.09423063472672560.0471153173633628
430.941648861689760.1167022766204800.0583511383102399
440.9260502752350940.1478994495298130.0739497247649064
450.9139746343452780.1720507313094440.086025365654722
460.9029262903810680.1941474192378640.0970737096189318
470.8935325378964250.2129349242071490.106467462103575
480.8867743471354890.2264513057290230.113225652864511
490.8874125936441840.2251748127116330.112587406355816
500.8661781393852040.2676437212295910.133821860614796
510.8701575928259490.2596848143481030.129842407174051
520.843344831601810.3133103367963780.156655168398189
530.8910868077343940.2178263845312120.108913192265606
540.8676427955355320.2647144089289350.132357204464468
550.8775869386658490.2448261226683020.122413061334151
560.8662334394736160.2675331210527680.133766560526384
570.9143624349896030.1712751300207950.0856375650103973
580.8924433901816340.2151132196367330.107556609818366
590.8752196026388670.2495607947222670.124780397361133
600.8976841853144260.2046316293711490.102315814685574
610.8980432697240210.2039134605519580.101956730275979
620.9071044166949970.1857911666100070.0928955833050033
630.9284346493574270.1431307012851450.0715653506425727
640.9369743840092760.1260512319814480.0630256159907241
650.9369907932818260.1260184134363490.0630092067181743
660.9394415547466470.1211168905067060.060558445253353
670.9248665704368650.150266859126270.075133429563135
680.9060393587313070.1879212825373860.093960641268693
690.9128571239604320.1742857520791370.0871428760395683
700.9275246263730760.1449507472538490.0724753736269244
710.9128508415292270.1742983169415460.0871491584707728
720.9032555300327950.1934889399344090.0967444699672046
730.9062333060755930.1875333878488140.0937666939244069
740.8840598938675010.2318802122649980.115940106132499
750.8902319037575150.2195361924849700.109768096242485
760.8734287148393840.2531425703212330.126571285160616
770.8641543548279980.2716912903440050.135845645172002
780.8440322936712650.3119354126574690.155967706328735
790.8163016815584340.3673966368831330.183698318441566
800.7931005921734270.4137988156531470.206899407826573
810.8489362696843080.3021274606313830.151063730315692
820.8501027622461740.2997944755076520.149897237753826
830.8266472200845630.3467055598308730.173352779915437
840.7951544927866630.4096910144266730.204845507213337
850.7577846691540730.4844306616918540.242215330845927
860.7916851251711760.4166297496576490.208314874828824
870.7550949085551470.4898101828897060.244905091444853
880.7117148535788090.5765702928423810.288285146421191
890.6712106529851850.657578694029630.328789347014815
900.7069381320618360.5861237358763280.293061867938164
910.6603085202347550.679382959530490.339691479765245
920.642956637534680.714086724930640.35704336246532
930.6009484317193270.7981031365613460.399051568280673
940.5870793369077290.8258413261845420.412920663092271
950.65224724547620.69550550904760.3477527545238
960.6540051526485820.6919896947028370.345994847351418
970.660258506973570.679482986052860.33974149302643
980.6166417843067710.7667164313864580.383358215693229
990.6445334683133750.710933063373250.355466531686625
1000.6279667218997540.7440665562004920.372033278100246
1010.6142754660809880.7714490678380250.385724533919012
1020.6104822849306310.7790354301387390.389517715069369
1030.662276562852940.675446874294120.33772343714706
1040.6578471297971360.6843057404057280.342152870202864
1050.799750027705580.4004999445888390.200249972294419
1060.7733833279472480.4532333441055050.226616672052752
1070.7977534611140530.4044930777718930.202246538885947
1080.7815692035066010.4368615929867980.218430796493399
1090.7373257648255870.5253484703488270.262674235174413
1100.7304119640476870.5391760719046260.269588035952313
1110.7140155444738030.5719689110523950.285984455526197
1120.6529748584189930.6940502831620140.347025141581007
1130.6064148369287840.7871703261424330.393585163071216
1140.5968378123949980.8063243752100050.403162187605002
1150.5369163591755940.9261672816488120.463083640824406
1160.4737845872171970.9475691744343940.526215412782803
1170.6001754836048720.7996490327902560.399824516395128
1180.5268047540030940.9463904919938130.473195245996906
1190.4886495402839320.9772990805678650.511350459716068
1200.7889663038472980.4220673923054030.211033696152702
1210.7305063889270560.5389872221458890.269493611072944
1220.6765398473467370.6469203053065270.323460152653263
1230.5892287070549960.8215425858900080.410771292945004
1240.5137622801435440.9724754397129120.486237719856456
1250.429748429892280.859496859784560.57025157010772
1260.3366317216086330.6732634432172660.663368278391367
1270.4275615844568920.8551231689137830.572438415543108
1280.3285532045114070.6571064090228140.671446795488593
1290.3654627951037140.7309255902074280.634537204896286
1300.3140033821102870.6280067642205740.685996617889713


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.00840336134453781OK
5% type I error level100.0840336134453782NOK
10% type I error level160.134453781512605NOK