Multiple Linear Regression - Estimated Regression Equation
Personal_standards[t] = + 6.05544463046083 + 1.08554008173790Gender[t] + 0.302404041874856Concern_mistakes[t] -0.370388926577496Doubts_actions[t] + 0.0908521419386202Parental_expectations[t] + 0.226711071855642Parental_criticism[t] + 0.428884960755457Organization[t] + 0.0317689593578859PLC[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6.055444630460833.0163372.00750.0466730.023336
Gender1.085540081737900.6259661.73420.0851520.042576
Concern_mistakes0.3024040418748560.0579845.21531e-060
Doubts_actions-0.3703889265774960.119153-3.10850.002290.001145
Parental_expectations0.09085214193862020.1047480.86730.3872820.193641
Parental_criticism0.2267110718556420.1297791.74690.0829120.041456
Organization0.4288849607554570.0817495.24631e-060
PLC0.03176895935788590.138750.2290.819240.40962


Multiple Linear Regression - Regression Statistics
Multiple R0.625922347228241
R-squared0.391778784759711
Adjusted R-squared0.360473281034108
F-TEST (value)12.5146935246180
F-TEST (DF numerator)7
F-TEST (DF denominator)136
p-value2.57371901568604e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.36194190238707
Sum Squared Residuals1537.16085628353


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12525.5281585124996-0.528158512499642
22523.38015617856871.61984382143132
31923.9873375773017-4.98733757730169
41823.3076234384716-5.30762343847157
51820.7596668651796-2.75966686517959
62221.31358212929660.686417870703412
72922.02164504416406.97835495583604
82625.05032697654480.949673023455192
92524.08182245647550.918177543524528
102324.8249168609581-1.82491686095814
112320.98338535042592.01661464957412
122320.91325406717162.08674593282838
132423.5069154163330.49308458366698
143024.67989118037855.32010881962153
151917.90579594228631.09420405771365
162423.20975561797270.790244382027295
173229.22643675432262.77356324567736
183027.42385971752762.57614028247235
192930.9988998064258-1.99889980642575
201722.6196657169651-5.61966571696511
212523.54442546030851.45557453969151
222624.83912104627281.16087895372722
232626.9487872779461-0.948787277946073
242524.05090541438230.949094585617727
252319.27406168874743.72593831125259
262117.41310671910833.58689328089174
271923.0319111516796-4.03191115167956
283524.005102341545910.9948976584541
291922.8626109679091-3.86261096790906
302022.7476522945290-2.74765229452904
312122.3304653961623-1.33046539616229
322121.8071358122607-0.807135812260728
332419.96649989454674.0335001054533
342319.96376054279273.03623945720735
351920.0853797878955-1.08537978789554
361724.8342983720192-7.83429837201917
372422.95191737489901.04808262510104
381517.9762480302365-2.97624803023651
392525.4198464672891-0.419846467289087
402723.11652193146153.88347806853850
412725.67145461039211.32854538960788
421822.1853588943757-4.18535889437572
432522.01635771076402.98364228923597
442221.86235480831140.137645191688583
452621.43096572480024.56903427519975
462324.4543758064382-1.45437580643825
471621.9150740505523-5.91507405055234
482720.85019919509216.14980080490794
492524.44721855711750.552781442882529
501415.8739961454201-1.87399614542012
511921.3914097840986-2.39140978409855
522025.2661621646739-5.2661621646739
531621.0647508466983-5.06475084669831
541820.6279428593715-2.62794285937146
552222.1020407413569-0.102040741356915
562119.29408253444451.70591746555548
572223.0734203791412-1.07342037914117
582223.8987305343088-1.89873053430883
593225.58206700259996.41793299740007
602320.39842272081042.6015772791896
613126.10872942095284.89127057904723
621821.8054063105134-3.80540631051343
632323.0881694317347-0.088169431734685
642625.85128678933500.148713210664950
652422.22386572171271.77613427828726
661917.27062642481241.72937357518757
671416.1204986229292-2.12049862292919
682021.9132784977955-1.91327849779554
692221.21500009750430.784999902495717
702422.04492692825091.95507307174909
712522.62182150128092.37817849871912
722124.9664048238158-3.96640482381575
732823.98690113683264.01309886316737
742421.84031172990782.1596882700922
752020.1903276444363-0.190327644436281
762123.9493784943219-2.94937849432193
772323.5371687827720-0.537168782771954
781315.7149475787263-2.71494757872626
792423.55539286352350.444607136476478
802123.8520101633807-2.85201016338069
812123.9829661870797-2.98296618707973
821719.2472413739475-2.24724137394748
831419.3163708168531-5.31637081685314
842921.26535286198807.73464713801195
852523.15827686212601.84172313787405
861617.7716091429477-1.77160914294767
872521.46187726669863.53812273330137
882521.90820016227163.09179983772836
892122.206057948523-1.20605794852298
902323.2210621532137-0.22106215321368
912226.0814630599885-4.0814630599885
921919.9006245138135-0.900624513813497
932423.75094031317500.249059686825032
942623.13081971737472.8691802826253
952524.87531737193890.124682628061089
962023.0252186614217-3.02521866142169
972222.8871322320673-0.887132232067326
981418.675339626853-4.67533962685301
992024.9379417722663-4.93794177226632
1003223.82881115668478.17118884331528
1012120.59798670859930.402013291400737
1022221.89903549271910.100964507280927
1032826.67289083677331.32710916322673
1042525.4557822942169-0.455782294216869
1051716.13272102040830.867278979591746
1062123.0677355498766-2.06773554987658
1072321.71859217182281.28140782817722
1082723.08212358292973.91787641707033
1092222.4889450032043-0.488945003204296
1101919.2103892415976-0.210389241597643
1112023.455805491358-3.45580549135801
1121718.4948405905726-1.49484059057259
1132422.96507669507451.03492330492554
1142121.4326119615744-0.432611961574358
1152122.1653696875348-1.16536968753478
1162426.0383152451805-2.03831524518054
1171917.84941319178131.15058680821873
1182221.36261100172540.637388998274601
1192623.54811979866732.45188020133268
1201717.2209531967291-0.220953196729138
1211719.1435131919336-2.14351319193355
1221921.5832486502609-2.58324865026095
1231517.0675154742249-2.06751547422494
1241720.2257849734361-3.22578497343608
1252727.9103307750372-0.910330775037198
1261920.8044944192226-1.80449441922263
1272121.728310751151-0.728310751150981
1282520.87245324620384.12754675379621
1291923.5903406449817-4.59034064498166
1302222.3806732140214-0.380673214021431
1312024.0059751536554-4.00597515365536
1321524.3751919882858-9.3751919882858
1332022.1738054993449-2.17380549934492
1342925.15149042734913.8485095726509
1351918.81103051003010.188969489969935
1362923.54809230509215.45190769490787
1372421.59095876067372.40904123932625
1382319.27406168874743.72593831125259
1392223.1606745143394-1.16067451433936
1402322.2411827590580.758817240941995
1412219.76725123023562.23274876976438
1422921.26535286198807.73464713801195
1432623.54811979866732.45188020133268
1442122.1325135819139-1.13251358191387


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.4077903216352130.8155806432704260.592209678364787
120.2949795934165520.5899591868331040.705020406583448
130.4177921543262910.8355843086525820.582207845673709
140.3127430748470160.6254861496940320.687256925152984
150.2338434990281820.4676869980563650.766156500971818
160.1803780791167590.3607561582335180.819621920883241
170.1518248779825310.3036497559650620.84817512201747
180.1201711815399240.2403423630798480.879828818460076
190.08573239226174280.1714647845234860.914267607738257
200.2578463158024880.5156926316049760.742153684197512
210.2995194195717120.5990388391434240.700480580428288
220.2337143222260620.4674286444521240.766285677773938
230.1826075062989660.3652150125979330.817392493701034
240.1404591274614420.2809182549228830.859540872538558
250.1126675700968920.2253351401937850.887332429903108
260.08870345828184590.1774069165636920.911296541718154
270.08934361027113740.1786872205422750.910656389728863
280.6026004933047960.7947990133904070.397399506695204
290.5633811296727410.8732377406545190.436618870327259
300.5328538263789480.9342923472421040.467146173621052
310.4815474295477110.9630948590954220.518452570452289
320.4187467965458280.8374935930916570.581253203454172
330.642271889953150.71545622009370.35772811004685
340.733951685243460.5320966295130810.266048314756540
350.693098569735120.6138028605297590.306901430264880
360.8431448895351110.3137102209297770.156855110464889
370.8197627734996120.3604744530007770.180237226500388
380.8587837534495230.2824324931009540.141216246550477
390.8246712125626380.3506575748747240.175328787437362
400.8312983105053680.3374033789892650.168701689494632
410.7993690552810980.4012618894378040.200630944718902
420.8391539727020750.321692054595850.160846027297925
430.8201728960183570.3596542079632860.179827103981643
440.7861947082583040.4276105834833930.213805291741696
450.8160429650952360.3679140698095270.183957034904764
460.7892912945476850.421417410904630.210708705452315
470.8659507726213430.2680984547573140.134049227378657
480.9065149968031740.1869700063936510.0934850031968255
490.8867913034988990.2264173930022030.113208696501101
500.8917081318977570.2165837362044860.108291868102243
510.8820013713007190.2359972573985620.117998628699281
520.9018954796948860.1962090406102280.098104520305114
530.9325287450024960.1349425099950080.0674712549975039
540.9266254527925530.1467490944148940.0733745472074471
550.9087927041615230.1824145916769550.0912072958384773
560.8938392938509330.2123214122981340.106160706149067
570.8762325862209570.2475348275580860.123767413779043
580.8570606600040510.2858786799918970.142939339995949
590.9280297374234120.1439405251531770.0719702625765884
600.919397789409850.1612044211803010.0806022105901504
610.943554019140950.1128919617181020.0564459808590508
620.9475118631881120.1049762736237760.0524881368118879
630.9327263213433430.1345473573133140.0672736786566569
640.9154449145244530.1691101709510940.084555085475547
650.9006685289407780.1986629421184450.0993314710592224
660.8811851034612320.2376297930775350.118814896538768
670.8701647304840250.259670539031950.129835269515975
680.8531667821698980.2936664356602050.146833217830102
690.824370126930070.351259746139860.17562987306993
700.8056297736982220.3887404526035560.194370226301778
710.788688192347520.4226236153049610.211311807652480
720.8014656319611830.3970687360776340.198534368038817
730.8185819294675280.3628361410649440.181418070532472
740.7984568045999060.4030863908001880.201543195400094
750.7614989390844540.4770021218310910.238501060915546
760.7530220599548440.4939558800903120.246977940045156
770.7123003625967950.5753992748064110.287699637403205
780.700911395637520.5981772087249620.299088604362481
790.656445162448830.687109675102340.34355483755117
800.6415854758477180.7168290483045630.358414524152282
810.6360953460566640.7278093078866720.363904653943336
820.6328902776212330.7342194447575340.367109722378767
830.6860623766497180.6278752467005640.313937623350282
840.837693923907460.3246121521850810.162306076092541
850.8125131432961020.3749737134077960.187486856703898
860.796610476393450.4067790472130990.203389523606550
870.7995023881683620.4009952236632770.200497611831638
880.8164643482352250.367071303529550.183535651764775
890.783397048106540.4332059037869210.216602951893460
900.7466056757996040.5067886484007920.253394324200396
910.7583219528729280.4833560942541440.241678047127072
920.7198014425255570.5603971149488850.280198557474443
930.6739454597051560.6521090805896890.326054540294845
940.6802119360593670.6395761278812670.319788063940633
950.6359894345183030.7280211309633940.364010565481697
960.6226143488126230.7547713023747550.377385651187377
970.5836886526888220.8326226946223560.416311347311178
980.6087396833933460.7825206332133090.391260316606654
990.661808084673330.6763838306533390.338191915326670
1000.8503531349682080.2992937300635850.149646865031792
1010.8181460073393770.3637079853212460.181853992660623
1020.7818381137671960.4363237724656070.218161886232803
1030.7514814638139530.4970370723720940.248518536186047
1040.7207125645338970.5585748709322060.279287435466103
1050.6711015884712830.6577968230574340.328898411528717
1060.6344389383845550.731122123230890.365561061615445
1070.6137403743753510.7725192512492970.386259625624649
1080.6405385748106690.7189228503786620.359461425189331
1090.5867971821385110.8264056357229780.413202817861489
1100.5301117624379890.9397764751240230.469888237562011
1110.5137519631550680.9724960736898640.486248036844932
1120.4567169916948770.9134339833897530.543283008305123
1130.3953589760636060.7907179521272120.604641023936394
1140.3353412047705150.670682409541030.664658795229485
1150.2788871657751930.5577743315503860.721112834224807
1160.2409280528180310.4818561056360620.759071947181969
1170.1960694061388270.3921388122776550.803930593861173
1180.1557776437437410.3115552874874810.84422235625626
1190.1368303451267330.2736606902534660.863169654873267
1200.1101007096496690.2202014192993380.889899290350331
1210.08517846564277880.1703569312855580.914821534357221
1220.0851110195613690.1702220391227380.914888980438631
1230.1277942062225880.2555884124451770.872205793777412
1240.1427357219622140.2854714439244290.857264278037786
1250.1610184288132730.3220368576265460.838981571186727
1260.1602410712536570.3204821425073130.839758928746343
1270.1339045652991010.2678091305982020.866095434700899
1280.09938113341414120.1987622668282820.900618866585859
1290.07177613537104510.1435522707420900.928223864628955
1300.08217056047277170.1643411209455430.917829439527228
1310.07058516167404770.1411703233480950.929414838325952
1320.7989225789971650.402154842005670.201077421002835
1330.740552938753810.518894122492380.25944706124619


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 level00OK