Multiple Linear Regression - Estimated Regression Equation
Career[t] = + 32.4711075468022 -1.86339575161424G[t] + 0.191031539247891PersonalStandards[t] -0.0540144402593811PeG[t] -0.173665001512474ParentalExpectations[t] + 0.534242117931472PaG[t] -0.248653021388442Doubts[t] + 0.140966318180626DoG[t] + 2.38392162985542LeadershipPreference[t] -1.98395184485659LeaderG[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)32.47110754680224.1933137.743500
G-1.863395751614246.397871-0.29130.7713020.385651
PersonalStandards0.1910315392478910.1444571.32240.1882510.094125
PeG-0.05401444025938110.204208-0.26450.791790.395895
ParentalExpectations-0.1736650015124740.168811-1.02880.3054230.152711
PaG0.5342421179314720.2498072.13860.0342540.017127
Doubts-0.2486530213884420.215297-1.15490.2501450.125072
DoG0.1409663181806260.3003140.46940.6395380.319769
LeadershipPreference2.383921629855420.7187953.31660.0011690.000584
LeaderG-1.983951844856590.949644-2.08920.0385570.019279


Multiple Linear Regression - Regression Statistics
Multiple R0.473114760725264
R-squared0.223837576816124
Adjusted R-squared0.172473887046603
F-TEST (value)4.35789519445598
F-TEST (DF numerator)9
F-TEST (DF denominator)136
p-value5.2233134229529e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.80633728614537
Sum Squared Residuals3141.71942271400


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14139.55580870238271.44419129761735
23841.9397303322381-3.93973033223809
33740.9672060982632-3.96720609826321
43635.97211646625940.0278835337406244
54237.41817625550394.58182374449607
64441.35639215587492.64360784412506
74037.16083249101882.83916750898119
84342.11339533375060.88660466624944
94041.7550212170153-1.75502121701532
104541.20009369209793.79990630790212
114738.32971830567728.67028169432282
124545.6774387194733-0.677438719473339
134541.986308076513.01369192348996
144040.2960548447412-0.296054844741168
154939.34187791282529.65812208717478
164844.51043085823093.48956914176914
174442.8317443015611.16825569843900
182937.8013454255889-8.80134542558888
194239.86919571722952.13080428277054
204544.13894284687070.861057153129264
213239.5359369730559-7.53593697305588
223239.5359369730559-7.53593697305588
234143.8263567629565-2.82635676295646
242937.6591287341317-8.6591287341317
253841.2569146191476-3.25691461914761
264141.6965991797839-0.696599179783944
273837.36096373284260.639036267157348
282437.3100621594119-13.3100621594119
293436.1807515305603-2.18075153056026
303836.78590285943711.21409714056288
313736.72447675666230.275523243337651
324644.23601871832561.76398128167440
334841.28493232632566.71506767367439
344241.40216934505610.59783065494393
354642.21207231538713.78792768461293
364338.61433428693194.38566571306814
373841.7139657175194-3.71396571751936
383938.29893964099640.701060359003616
393440.3665017600063-6.36650176000635
403939.9670721437751-0.967072143775147
413535.7249452024452-0.724945202445207
424139.22540500745091.77459499254913
434038.41293729343481.58706270656523
444337.23068497596895.76931502403111
453736.37302784006490.626972159935151
464141.7542206619245-0.754220661924494
474642.40310385463503.59689614536504
482637.3576398021583-11.3576398021583
494137.63167400013533.36832599986472
503740.0247040937138-3.02470409371384
513940.7936490601487-1.79364906014868
524444.0694770717708-0.0694770717707643
533936.30516279930482.69483720069517
543640.490284466391-4.49028446639096
553836.87113443793261.12886556206745
563838.4576907341857-0.457690734185748
573841.3563921558749-3.35639215587494
583238.5157613163121-6.51576131631212
593337.8845644133465-4.88456441334646
604637.67251493761528.32748506238478
614242.2696937975276-0.269693797527617
624235.89941075904856.1005892409515
634341.58215677059371.41784322940633
644136.39809271635454.60190728364549
654942.79621067099936.20378932900066
664536.592230220418.40776977959003
673941.8473757746267-2.8473757746267
684538.92246944342576.0775305565743
693137.2760754552999-6.27607545529991
703037.2760754552999-7.27607545529991
714543.05750891627971.94249108372028
724845.42326345330892.5767365466911
732839.3071448373544-11.3071448373544
743537.1024209215856-2.10242092158558
753841.3090142323539-3.30901423235386
763938.27779585623050.722204143769454
774039.05616261172980.943837388270175
783838.4100423924829-0.410042392482929
794240.36570082907381.63429917092617
803634.42405861336241.57594138663755
814947.04939219383771.95060780616228
824142.1370842955111-1.1370842955111
831835.5749691626933-17.5749691626933
843638.5493519480278-2.54935194802778
854239.85524575911082.14475424088924
864140.83304172872850.166958271271491
874341.02562813549461.97437186450541
884639.42239864527536.57760135472467
893738.326821767877-1.32682176787697
903837.98406450553940.0159354944605742
914340.26782477836982.73217522163016
924144.3986399819695-3.39863998196947
933534.7418591131630.258140886837005
943942.831744301561-3.831744301561
954239.83446264175862.16553735824137
963641.1819265992716-5.18192659927164
973538.880181873894-3.88018187389403
983334.821887119412-1.821887119412
993637.7394489776968-1.73944897769678
1004840.60803142643727.39196857356285
1014141.2569146191476-0.256914619147610
1024741.83121717808975.16878282191029
1034138.73406106325062.26593893674945
1043137.5570690162767-6.55706901627673
1053641.2422173639098-5.24221736390976
1064640.79364906014875.20635093985132
1073937.14081976369091.85918023630911
1084441.4242571966352.57574280336504
1094337.35047406715935.64952593284066
1103242.4788924296017-10.4788924296017
1114038.13788385629021.86211614370981
1124039.02296902904410.977030970955874
1134637.47895128750728.52104871249278
1144539.5613305713175.43866942868303
1153942.4836137434452-3.48361374344522
1164443.32272792031280.677272079687243
1173541.2395480814122-6.23954808141219
1183838.5722403546975-0.572240354697498
1193835.66732372030472.33267627969534
1203635.78794911740870.212050882591279
1214238.29989837154853.70010162845148
1223942.3383590175368-3.33835901753677
1234140.74649881028650.253501189713468
1244140.39491203561040.605087964389639
1254737.94704649958939.05295350041073
1263938.48620859695290.513791403047067
1274039.28790924017520.712090759824831
1284440.67749757737883.32250242262119
1294240.97272796719751.02727203280249
1303539.1326432573727-4.13264325737266
1314644.34181905491971.65818094508025
1324337.00669756565425.99330243434577
1334037.7032936022962.29670639770398
1344441.27508171197382.72491828802615
1353738.9989500890685-1.99895008906854
1364638.35615216365777.64384783634233
1374444.1389428468707-0.138942846870735
1383538.7569494699203-3.75694946992027
1393938.17786673430500.822133265694958
1404038.50909700362261.49090299637735
1414239.85524575911082.14475424088924
1423737.6821481806818-0.682148180681815
1432939.1230100143061-10.1230100143061
1443338.1110193317288-5.1110193317288
1453537.0575991390849-2.05759913908494
1464236.13556742322845.86443257677163


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.1385971623880210.2771943247760420.861402837611979
140.05457686149449160.1091537229889830.945423138505508
150.3243429905713690.6486859811427380.675657009428631
160.2116165831975290.4232331663950590.78838341680247
170.1444039101419930.2888078202839860.855596089858007
180.1618673755376690.3237347510753380.838132624462331
190.1636082177177230.3272164354354450.836391782282277
200.1067167462529570.2134334925059150.893283253747043
210.6591106890224680.6817786219550650.340889310977532
220.6102881654629730.7794236690740540.389711834537027
230.5339220552849880.9321558894300240.466077944715012
240.6743336334211520.6513327331576950.325666366578848
250.6323062216237720.7353875567524560.367693778376228
260.5579212942317960.8841574115364070.442078705768204
270.4890561775051780.9781123550103550.510943822494822
280.6151985049181220.7696029901637560.384801495081878
290.6056288013030890.7887423973938210.394371198696911
300.5412303803861760.9175392392276470.458769619613824
310.5476264380424940.9047471239150110.452373561957506
320.5105990742170970.9788018515658060.489400925782903
330.4865418879917320.9730837759834630.513458112008268
340.4241775029655080.8483550059310170.575822497034492
350.4029577398349350.805915479669870.597042260165065
360.6628223320643160.6743553358713680.337177667935684
370.6363797582886420.7272404834227170.363620241711358
380.5786926589087370.8426146821825260.421307341091263
390.6794138243806310.6411723512387390.320586175619369
400.6359313710752820.7281372578494350.364068628924718
410.5797496569076530.8405006861846940.420250343092347
420.5300344435831070.9399311128337850.469965556416893
430.5113315936796310.9773368126407370.488668406320369
440.5253276224391850.949344755121630.474672377560815
450.4732100806521980.9464201613043950.526789919347802
460.4183358972051980.8366717944103970.581664102794802
470.3928045549604120.7856091099208250.607195445039588
480.6138369877955490.7723260244089030.386163012204451
490.6002858881972020.7994282236055960.399714111802798
500.5667736792032940.8664526415934130.433226320796706
510.5189371175497220.9621257649005550.481062882450277
520.465375737717210.930751475434420.53462426228279
530.4275304894768550.855060978953710.572469510523145
540.4138415084771740.8276830169543490.586158491522826
550.366829173032840.733658346065680.63317082696716
560.3217576384552910.6435152769105830.678242361544709
570.3106667948610790.6213335897221580.689333205138921
580.3672397691270140.7344795382540280.632760230872986
590.3566722223126530.7133444446253060.643327777687347
600.4779699041089950.955939808217990.522030095891005
610.4270997747616990.8541995495233970.572900225238301
620.4566545159948740.9133090319897480.543345484005126
630.4155052873725660.8310105747451310.584494712627434
640.4649134384868980.9298268769737960.535086561513102
650.5047105870704790.9905788258590420.495289412929521
660.5716605325475440.8566789349049120.428339467452456
670.5405083574789570.9189832850420860.459491642521043
680.5711601919936930.8576796160126140.428839808006307
690.6156440483833650.768711903233270.384355951616635
700.6886498289055630.6227003421888730.311350171094436
710.6624328701102730.6751342597794530.337567129889727
720.6341623112995320.7316753774009360.365837688700468
730.8176958884364670.3646082231270650.182304111563533
740.7860728623670280.4278542752659440.213927137632972
750.7763745957261350.4472508085477290.223625404273865
760.7383096031858420.5233807936283150.261690396814158
770.6983591630440770.6032816739118460.301640836955923
780.6582770517756180.6834458964487640.341722948224382
790.6234254345273440.7531491309453120.376574565472656
800.5925364328341560.8149271343316880.407463567165844
810.579964967284150.8400700654316990.420035032715850
820.5351905336683870.9296189326632260.464809466331613
830.950910465248740.0981790695025190.0490895347512595
840.9406664090258550.1186671819482910.0593335909741454
850.930171640374990.1396567192500190.0698283596250095
860.9131449707169230.1737100585661550.0868550292830775
870.8949078282946580.2101843434106850.105092171705342
880.9171568362610130.1656863274779730.0828431637389866
890.8969019181254210.2061961637491580.103098081874579
900.871013588217580.2579728235648380.128986411782419
910.8481193912995440.3037612174009130.151880608700456
920.8370202210347970.3259595579304060.162979778965203
930.8232554929240530.3534890141518940.176744507075947
940.803735220289360.392529559421280.19626477971064
950.7669739961931530.4660520076136950.233026003806847
960.7739984769710190.4520030460579630.226001523028981
970.7523934302741160.4952131394517680.247606569725884
980.7931666889518020.4136666220963960.206833311048198
990.7947053800488250.4105892399023510.205294619951175
1000.8185124777619550.3629750444760890.181487522238045
1010.7790979798978690.4418040402042630.220902020102131
1020.7891973187454280.4216053625091440.210802681254572
1030.7503196155789450.499360768842110.249680384421055
1040.7869402024722440.4261195950555110.213059797527756
1050.7799834174863470.4400331650273060.220016582513653
1060.8237675148904540.3524649702190920.176232485109546
1070.7837710495099420.4324579009801150.216228950490058
1080.7403243744938050.519351251012390.259675625506195
1090.7311247327111830.5377505345776350.268875267288817
1100.8659611773902490.2680776452195030.134038822609751
1110.830759263132390.3384814737352200.169240736867610
1120.790811413401380.418377173197240.20918858659862
1130.8586807604834720.2826384790330560.141319239516528
1140.8549799677338350.2900400645323290.145020032266165
1150.8226064097148130.3547871805703750.177393590285187
1160.7826953835184740.4346092329630520.217304616481526
1170.8249054287110780.3501891425778440.175094571288922
1180.7722611052709160.4554777894581690.227738894729084
1190.7139602342333190.5720795315333620.286039765766681
1200.6748699396096510.6502601207806980.325130060390349
1210.623569448759810.752861102480380.37643055124019
1220.5792246351151380.8415507297697240.420775364884862
1230.5583923238326020.8832153523347960.441607676167398
1240.5692620572258960.8614758855482070.430737942774104
1250.5472518465760690.9054963068478630.452748153423931
1260.464397396604280.928794793208560.53560260339572
1270.4227853647796190.8455707295592380.577214635220381
1280.3353262984224620.6706525968449230.664673701577538
1290.2443565383271400.4887130766542810.75564346167286
1300.1707642734558460.3415285469116920.829235726544154
1310.1060343739075080.2120687478150160.893965626092492
1320.07183819733074190.1436763946614840.928161802669258
1330.03520121675123030.07040243350246070.96479878324877


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 level20.0165289256198347OK