Multiple Linear Regression - Estimated Regression Equation
Career[t] = + 35.6197069170407 -1.39109054250955G[t] + 0.20798572444025PersonalStandards[t] -0.0619444415950565PeG[t] + 0.304770109016755ParentalExpectations[t] -0.222891855918395PaG[t] -0.0280035539064598Doubts[t] -0.143741846502613DoG[t] -0.286076268589505LeadershipPreference[t] + 1.16963899061508LeaderG[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)35.61970691704075.2536186.7800
G-1.391090542509556.622594-0.21010.8339440.416972
PersonalStandards0.207985724440250.3086070.67390.5014960.250748
PeG-0.06194444159505650.209717-0.29540.7681640.384082
ParentalExpectations0.3047701090167550.4050790.75240.4531370.226569
PaG-0.2228918559183950.268232-0.8310.407460.20373
Doubts-0.02800355390645980.475306-0.05890.9531050.476553
DoG-0.1437418465026130.311976-0.46070.6457220.322861
LeadershipPreference-0.2860762685895051.418512-0.20170.8404760.420238
LeaderG1.169638990615081.016081.15110.2517140.125857


Multiple Linear Regression - Regression Statistics
Multiple R0.360462109240757
R-squared0.129932932198296
Adjusted R-squared0.0719284610115152
F-TEST (value)2.24005028474268
F-TEST (DF numerator)9
F-TEST (DF denominator)135
p-value0.0230062379670575
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.80099053007766
Sum Squared Residuals3111.68385943587


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14140.21280180453130.787198195468745
23841.096364526557-3.09636452655697
33740.1382385763875-3.13823857638747
44239.83642968155792.16357031844209
54039.13588159568170.864118404318318
64341.01448627345861.98551372654136
74040.133278147655-0.133278147655021
84543.38912637023251.61087362976753
94542.43817762465442.56182237534557
104440.0978477009523.90215229904804
114240.28582276583381.71417723416624
123241.4726799415677-9.4726799415677
133241.4726799415677-9.4726799415677
144143.1459029151222-2.14590291512216
153839.9487779526269-1.94877795262687
163840.0209298765861-2.02092987658606
172438.5627338239932-14.5627338239932
184640.99932017465485.00067982534521
194240.95508914411851.04491085588148
204640.67898436685285.32101563314716
214340.01703301352252.98296698647752
223840.4944841718247-2.49448417182469
233940.109311465018-1.10931146501796
244039.19031829628930.80968170371066
253738.289234879238-1.28923487923797
264140.2922687534450.707731246554982
274640.8250256496985.17497435030197
282638.6527954996296-12.6527954996296
293739.2834084374057-2.28340843740568
303941.2601210327537-2.26012103275372
314442.46623633844031.53376366155973
323838.4737350742661-0.473735074266121
333838.5105132594851-0.510513259485067
343839.4542854402311-1.45428544023108
353338.8550109180093-5.85501091800928
364340.05616579496342.94383420503662
374136.52855606255764.47144393744243
384939.80099923485499.19900076514515
394541.48066883578013.51933116421995
403139.1872898308094-8.18728983080944
413039.1872898308094-9.18728983080944
423840.6325365604575-2.63253656045754
433940.2793194305002-1.27931943050021
444040.2585757416688-0.258575741668787
453636.7130562575857-0.713056257585715
464942.5061808095026.49381919049797
474140.42536071334540.574639286654593
484239.51783130868282.48216869131722
494142.0618055016809-1.06180550168093
504340.00495208816142.99504791183865
514640.09246463925015.90753536074989
524142.23355090209-1.23355090209000
533940.097847700952-1.09784770095196
544239.82998369394672.17001630605335
553540.7167694097779-5.71676940977785
563638.9159509539505-2.91595095395048
574839.41602105637398.58397894362615
584139.94877795262691.05122204737313
594739.50681394899057.49318605100947
604139.60293255558681.39706744441323
613141.2175133814592-10.2175133814592
623641.2648869331604-5.26488693316044
634641.26012103275374.73987896724628
644440.68394479558533.31605520441471
654338.09159083293934.90840916706071
664040.17106319058-0.171063190580029
674039.57246253761620.42753746238383
684637.85823152733118.14176847266893
693940.4205948129387-1.42059481293868
704441.25838359782692.74161640217311
713837.57178325963110.42821674036892
723939.414283621447-0.414283621447033
734142.2720098142729-1.27200981427295
743939.2721965493877-0.272196549387701
754039.7867588813570.213241118643025
764440.32769920014813.67230079985193
774239.48018408612072.51981591387931
784642.04885617873613.95114382126388
794440.01770688278043.98229311721957
803740.4430759366969-3.44307593669693
813938.29400077964470.705999220355303
824038.84206159506451.15793840493553
834239.51783130868282.48216869131722
843739.3011236607572-2.30112366075721
853338.7530628453374-5.75306284533743
863539.7545514284595-4.75455142845955
874236.89298508053295.10701491946713
883635.41289599986050.587104000139514
894440.08079723421253.9192027657875
904539.88286686982265.11713313017744
914740.83766880546376.16233119453627
924040.7552350902808-0.755235090280824
934938.871148172611510.1288518273885
944842.50039627477375.4996037252263
952941.5109399043595-12.5109399043595
964542.79843348194812.20156651805187
972935.2484256767422-6.24842567674217
984141.0669989778105-0.0669989778105502
993436.5149914999131-2.51499149991306
1003835.9074737263882.09252627361203
1013738.1811690475746-1.18116904757464
1024844.77917716405033.22082283594965
1033941.4540231427896-2.45402314278962
1043439.0639653325826-5.0639653325826
1053536.2246240993669-1.22462409936689
1064139.37736470985071.62263529014931
1074340.93482193879132.06517806120869
1084138.76150674141952.23849325858051
1093935.77274008515933.22725991484069
1103640.7615150518722-4.7615150518722
1113241.7000337049487-9.70003370494865
1124640.57075812521585.42924187478417
1134241.3192895015610.680710498439039
1144235.81248008802236.18751991197769
1154540.43393661434364.56606338565642
1163940.8627886518292-1.86278865182924
1174541.44774318119823.55225681880176
1184844.11101926957343.88898073042661
1192838.9849816957513-10.9849816957513
1203537.1016091553493-2.10160915534929
1213838.5765610437887-0.576561043788678
1224240.32730416526621.67269583473378
1233638.1242522860047-2.12425228600474
1243741.6075966687924-4.60759666879241
1253839.476578076493-1.47657807649300
1264339.09742537385423.90257462614578
1273533.88609656528061.11390343471943
1283640.4929412455571-4.49294124555707
1293335.6333896084065-2.63338960840651
1303938.52220088442820.477799115571802
1313240.7933119670766-8.79331196707659
1324539.32928451208165.67071548791841
1333540.7243316512186-5.72433165121862
1343838.4694762148061-0.469476214806086
1353637.8322217593913-1.83222175939134
1364238.36192265325773.63807734674233
1374139.81132995175521.18867004824482
1384737.67775475724649.32224524275364
1393537.7346715188163-2.73467151881626
1404337.49327779218145.50672220781863
1414039.95440378788990.0455962121100531
1424641.37620626313094.62379373686914
1434442.79843348194811.20156651805187
1443538.7045899798496-3.70458997984960
1452939.1506187760422-10.1506187760422


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.8390641465699730.3218717068600540.160935853430027
140.8193166560742140.3613666878515720.180683343925786
150.7180670149272310.5638659701455380.281932985072769
160.613031359273930.7739372814521390.386968640726069
170.9589073488042970.0821853023914070.0410926511957035
180.9511080175727250.09778396485454980.0488919824272749
190.9330899201124930.1338201597750140.0669100798875071
200.9454303566583540.1091392866832920.0545696433416459
210.941539424465690.1169211510686200.0584605755343101
220.9206505352492320.1586989295015350.0793494647507677
230.8869435249260920.2261129501478160.113056475073908
240.8625991003211350.2748017993577310.137400899678865
250.8240051022613820.3519897954772360.175994897738618
260.7713293256986510.4573413486026970.228670674301349
270.794116381253170.411767237493660.20588361874683
280.9375381458552390.1249237082895230.0624618541447614
290.9152647348334490.1694705303331020.084735265166551
300.8912341879200860.2175316241598280.108765812079914
310.8583456970913940.2833086058172120.141654302908606
320.8250064709033060.3499870581933880.174993529096694
330.7820557321689240.4358885356621530.217944267831076
340.7360940257909220.5278119484181550.263905974209078
350.7234670789138390.5530658421723210.276532921086161
360.6973654667596930.6052690664806130.302634533240307
370.7495994730114790.5008010539770430.250400526988521
380.8474033456087990.3051933087824030.152596654391201
390.8240557943834790.3518884112330430.175944205616522
400.853131225657370.2937375486852610.146868774342631
410.8949921641811450.2100156716377110.105007835818855
420.8730341481284990.2539317037430020.126965851871501
430.8438425892251450.3123148215497090.156157410774855
440.809525579821690.3809488403566190.190474420178310
450.7835499683918080.4329000632163830.216450031608192
460.8088927387779140.3822145224441720.191107261222086
470.7705590870615270.4588818258769470.229440912938473
480.7579196336400220.4841607327199550.242080366359978
490.7141839693173650.5716320613652710.285816030682635
500.6904138265130260.6191723469739480.309586173486974
510.7314619720749550.5370760558500910.268538027925045
520.6873981136986810.6252037726026380.312601886301319
530.6522772982136320.6954454035727360.347722701786368
540.6227838693331760.7544322613336480.377216130666824
550.6494015642582130.7011968714835740.350598435741787
560.6329867609644340.7340264780711320.367013239035566
570.734241182432150.53151763513570.26575881756785
580.6915391481249540.6169217037500930.308460851875046
590.7621346071968040.4757307856063920.237865392803196
600.723716260913670.5525674781726610.276283739086331
610.830483416759420.3390331664811610.169516583240581
620.8427350853695160.3145298292609680.157264914630484
630.8374154495015620.3251691009968760.162584550498438
640.8198236331874480.3603527336251040.180176366812552
650.8160226088143320.3679547823713360.183977391185668
660.7957805634124810.4084388731750380.204219436587519
670.7595170732472970.4809658535054050.240482926752703
680.7968271030684540.4063457938630910.203172896931546
690.7608991793958320.4782016412083360.239100820604168
700.7606344098394430.4787311803211130.239365590160557
710.7196200539247410.5607598921505190.280379946075259
720.6797794700078670.6404410599842660.320220529992133
730.6343270481965160.7313459036069680.365672951803484
740.5881486641629470.8237026716741070.411851335837053
750.5827027543460240.8345944913079530.417297245653976
760.5468660053653410.9062679892693180.453133994634659
770.5025697737133420.9948604525733160.497430226286658
780.4952736045251620.9905472090503230.504726395474838
790.4715950643388430.9431901286776870.528404935661157
800.4327708193057750.865541638611550.567229180694225
810.3834739954670740.7669479909341480.616526004532926
820.3415979270815210.6831958541630410.658402072918479
830.3010041443161940.6020082886323890.698995855683806
840.2624012182995690.5248024365991370.737598781700431
850.2449416774081460.4898833548162920.755058322591854
860.2201633460075110.4403266920150220.779836653992489
870.2022121304076270.4044242608152540.797787869592373
880.1678087694837310.3356175389674610.83219123051627
890.1476989934652680.2953979869305360.852301006534732
900.1377937453408050.275587490681610.862206254659195
910.1448131848877040.2896263697754070.855186815112296
920.1171141476102970.2342282952205930.882885852389703
930.1738097695135360.3476195390270710.826190230486464
940.1853867183592740.3707734367185490.814613281640726
950.3335135153568460.6670270307136930.666486484643154
960.3093530624655720.6187061249311440.690646937534428
970.3360117518491410.6720235036982820.663988248150859
980.3207421735997380.6414843471994760.679257826400262
990.3056691045013330.6113382090026650.694330895498667
1000.2628370479497160.5256740958994320.737162952050284
1010.2226783036780280.4453566073560560.777321696321972
1020.2609121271000320.5218242542000630.739087872899968
1030.2229517220823580.4459034441647160.777048277917642
1040.2489347347991440.4978694695982880.751065265200856
1050.2186792822992130.4373585645984270.781320717700787
1060.1876337574516990.3752675149033980.812366242548301
1070.1573810342573940.3147620685147890.842618965742606
1080.1302061665460450.2604123330920900.869793833453955
1090.1067648088754650.2135296177509310.893235191124535
1100.09705816994128780.1941163398825760.902941830058712
1110.2000146292236120.4000292584472230.799985370776388
1120.2036531117418780.4073062234837570.796346888258122
1130.1616465265310790.3232930530621580.838353473468921
1140.1672288402169520.3344576804339050.832771159783048
1150.1539843867287120.3079687734574230.846015613271288
1160.12165313896840.24330627793680.8783468610316
1170.1019130364069280.2038260728138560.898086963593072
1180.1011690607129490.2023381214258980.898830939287051
1190.238924149409370.477848298818740.76107585059063
1200.1923921940713570.3847843881427140.807607805928643
1210.1444733505527840.2889467011055670.855526649447216
1220.1162403211158420.2324806422316840.883759678884158
1230.08548748947992120.1709749789598420.914512510520079
1240.06799908197328510.1359981639465700.932000918026715
1250.04643181766323140.09286363532646290.953568182336769
1260.04000159372829220.08000318745658440.959998406271708
1270.02389821303836530.04779642607673060.976101786961635
1280.01739206475580200.03478412951160390.982607935244198
1290.01427222022099040.02854444044198070.98572777977901
1300.008086736612854690.01617347322570940.991913263387145
1310.02223733873523030.04447467747046060.97776266126477
1320.01018998215575420.02037996431150830.989810017844246


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level60.05NOK
10% type I error level100.0833333333333333OK