Multiple Linear Regression - Estimated Regression Equation
StudyForCareer[t] = + 34.1121269448891 + 0.146658179226907PersonalStandards[t] + 0.0321645865737117ParentalExpectations[t] -0.216148635234074Doubts[t] + 1.20809176779421LeaderPreference[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)34.11212694488913.12984710.89900
PersonalStandards0.1466581792269070.099361.4760.1421820.071091
ParentalExpectations0.03216458657371170.1221760.26330.7927340.396367
Doubts-0.2161486352340740.147914-1.46130.1461710.073085
LeaderPreference1.208091767794210.4629082.60980.0100450.005023


Multiple Linear Regression - Regression Statistics
Multiple R0.338860725617068
R-squared0.114826591365726
Adjusted R-squared0.0895359225476039
F-TEST (value)4.5402749999022
F-TEST (DF numerator)4
F-TEST (DF denominator)140
p-value0.00177031601377786
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.75523002302489
Sum Squared Residuals3165.70976006283


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14139.93998781044321.06001218955680
23841.1480795782376-3.14807957823759
33740.2359659163024-3.23596591630244
44240.17679802601481.82320197398524
54038.44627340030631.55372659969373
64341.11591499166391.88408500833611
74040.2938076030208-0.293807603020789
84543.8022373210161.19776267898401
94542.15152571703412.84847428296585
104440.45846561517983.54153438482024
114239.87819107054712.12180892945288
123241.8595449024162-9.85954490241624
133241.8595449024162-9.85954490241624
144143.143452400696-2.14345240069595
153840.1021462871479-2.10214628714785
163840.3684593418877-2.3684593418877
172438.2211212942903-14.2211212942903
184641.70269347162394.29730652837608
194240.82511461756291.17488538243710
204640.83543718328245.16456281671761
214340.21665632869942.78334367130062
223840.6437758674095-2.64377586740945
233939.8383492167608-0.838349216760837
244038.79491546112561.20508453887440
253737.7876177941403-0.78761779414031
264140.5344435576160.465556442383999
274640.98209536250935.0179046374907
282638.5235704376801-12.5235704376801
293739.3070257533204-2.30702575332040
303941.212408751385-2.21240875138502
314442.60700055219241.39299944780758
323837.97927911001320.0207208899867524
333837.46197463716210.538025362837949
343839.5810325241711-1.58103252417114
353338.6329027474735-5.63290274747354
364340.08533623499932.91466376500071
374135.75743508660135.24256491339867
384940.34145603817378.65854396182627
394542.01136436450292.98863563549711
403138.5852543123206-7.5852543123206
413038.5852543123206-8.5852543123206
423840.6386145845497-2.63861458454971
433940.4404657822477-1.44046578224770
444040.3131336395222-0.313133639522183
453635.94909640247430.0509035975257332
464943.36609786262575.63390213737432
474140.58712396147460.412876038525396
484238.92357380742043.07642619257956
494142.3883359326055-1.38833593260552
504340.06482041771442.9351795822856
514639.86282008722366.13717991277635
524142.6044845678396-1.60448456783959
533940.4584656151798-1.45846561517976
544239.52054553894592.47945446105412
553541.0567635502745-6.05676355027453
563638.4192700965923-2.41927009659230
574839.65449448225468.34550551774544
584140.10214628714790.897853712852147
594738.56209319652888.4379068034712
604139.28386463752861.71613536247141
613142.1156647055907-11.1156647055907
623641.0361019699372-5.03610196993723
634641.2124087513854.78759124861498
644440.77759549656403.22240450343596
654337.38351360816965.61648639183037
664040.5151339700129-0.515133970012933
674039.39068096296920.609319037030786
684637.55732085416298.44267914583709
693940.7634307429224-1.76343074292239
704441.59837668163782.40162331836219
713837.02983957864460.970160421355363
723940.0404624125073-1.04046241250734
734142.6494877044856-1.64948770448562
743938.82708004769930.172919952300693
754039.65184918374760.348150816252356
764440.3697855454573.63021445454297
774239.76898807490782.23101192509225
784642.29435815723723.70564184276278
794440.04033309835333.95966690164674
803740.5047949553951-3.50479495539512
813937.61131101269251.38868898730748
824038.53892497210521.46107502789476
834238.92357380742043.07642619257956
843739.2246967472409-2.22469674724091
853338.2970827878282-5.2970827878282
863540.1446334394411-5.14463343944105
874236.43552959452445.56447040547557
883636.4637226790219-0.463722679021899
894439.58103252417114.41896747582886
904539.79201987654555.20798012345453
914740.90095613721336.09904386278669
924041.0335859855844-1.03358598558440
934938.861906381678310.1380936183217
944843.59509215656384.40490784343618
952940.7389434235613-11.7389434235613
964541.5018993708153.498100629185
972936.9551878397777-7.95518783977773
984140.46495310160880.535046898391166
993437.49549121647-3.49549121646999
1003836.60389337181971.39610662818027
1013738.2507698965112-1.25076989651116
1024843.7302308806564.26976911934401
1033940.9177661893619-1.91776618936187
1043440.3104883410153-6.31048834101527
1053537.0993300346518-2.09933003465180
1064140.16897499574980.83102500425022
1074339.62232989568083.37767010431916
1084138.81688679613392.1831132038661
1093936.59105482174742.40894517825259
1103640.9885828489384-4.98858284893837
1113241.4027438636886-9.40274386368862
1124640.0454943812135.954505618787
1134240.90492763928961.09507236071044
1144236.82652949348295.17347050651712
1154539.67499385064115.32500614935888
1163940.7209435906292-1.72094359062919
1174540.96276932600794.0372306739921
1184842.23267428259675.7673257174033
1192838.504260850077-10.5042608500770
1203538.0166049794467-3.0166049794467
1213839.0162418281177-1.01624182811774
1224238.73073205103063.26926794896942
1233638.4295926623118-2.42959266231178
1243740.7955953294961-3.79559532949610
1253839.3958422458290-1.39584224582896
1264340.59096614939682.40903385060323
1273535.2491598736969-0.249159873696940
1283639.8538330653401-3.85383306534007
1293336.9025074359191-3.90250743591912
1303938.36527993806270.634720061937313
1313240.9897726297219-8.98977262972187
1324539.47300996904875.5269900309513
1333539.9233235213472-4.92332352134723
1343838.1414375867177-0.141437586717712
1353637.7541434528956-1.75414345289559
1364238.45407998167293.54592001832708
1374139.55535542402651.44464457597349
1384738.9853869962158.01461300378497
1393538.8065642304144-3.80656423041442
1404337.99729539184365.00270460815636
1414040.0286843290644-0.0286843290644402
1424640.72610487348895.27389512651106
1434441.5018993708152.498100629185
1443538.9957095619345-3.99570956193452
1452939.6273618643865-10.6273618643865


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2359691619686990.4719383239373970.764030838031301
90.1295841601660890.2591683203321790.87041583983391
100.06124303349346870.1224860669869370.938756966506531
110.02709022165817760.05418044331635520.972909778341822
120.2351782616272830.4703565232545660.764821738372717
130.2850960619260520.5701921238521030.714903938073948
140.3161081149725730.6322162299451470.683891885027427
150.2329991110103440.4659982220206870.767000888989656
160.1721248567801700.3442497135603410.82787514321983
170.768595712916410.4628085741671810.231404287083590
180.7573759869997970.4852480260004060.242624013000203
190.7200788822670120.5598422354659760.279921117732988
200.7711434810577750.457713037884450.228856518942225
210.7732208565432570.4535582869134860.226779143456743
220.7321648834000890.5356702331998220.267835116599911
230.6701103525890670.6597792948218650.329889647410933
240.6360110513988590.7279778972022820.363988948601141
250.5816996505223630.8366006989552750.418300349477637
260.5141100520561240.9717798958877520.485889947943876
270.5574396512151520.8851206975696960.442560348784848
280.8185816460903240.3628367078193530.181418353909676
290.776474004410420.4470519911791610.223525995589580
300.7370561407972770.5258877184054460.262943859202723
310.6859762656055590.6280474687888820.314023734394441
320.6394089600246170.7211820799507660.360591039975383
330.5838158833293980.8323682333412050.416184116670602
340.5276054069218950.944789186156210.472394593078105
350.5125237356745340.9749525286509320.487476264325466
360.4890414514127910.9780829028255820.510958548587209
370.5687100344774650.862579931045070.431289965522535
380.7078691984823670.5842616030352660.292130801517633
390.6750724605981680.6498550788036640.324927539401832
400.7081788378853760.5836423242292480.291821162114624
410.7575645901627060.4848708196745880.242435409837294
420.7215004093087930.5569991813824140.278499590691207
430.6789625496255830.6420749007488340.321037450374417
440.6314625633978410.7370748732043190.368537436602159
450.5919692455077220.8160615089845550.408030754492278
460.5851671098741540.8296657802516920.414832890125846
470.5331619356224870.9336761287550260.466838064377513
480.5229276332951820.9541447334096360.477072366704818
490.4733938422840940.9467876845681890.526606157715906
500.4498210253468540.8996420506937080.550178974653146
510.5024642807816180.9950714384367630.497535719218382
520.4555744939743310.9111489879486620.544425506025669
530.417887337615430.835774675230860.58211266238457
540.3912147424864120.7824294849728240.608785257513588
550.4144202951254710.8288405902509430.585579704874529
560.375794947404510.751589894809020.62420505259549
570.5006281296548340.9987437406903320.499371870345166
580.4528302866065670.9056605732131340.547169713393433
590.5799686205073540.8400627589852930.420031379492646
600.5368729208510070.9262541582979850.463127079148992
610.7317229409847560.5365541180304880.268277059015244
620.7354762733176740.5290474533646520.264523726682326
630.7332844425443720.5334311149112560.266715557455628
640.709612013622970.580775972754060.29038798637703
650.7295934094054640.5408131811890710.270406590594536
660.6910570193017320.6178859613965360.308942980698268
670.6475725614439950.704854877112010.352427438556005
680.7354179044754740.5291641910490520.264582095524526
690.7001182708759880.5997634582480240.299881729124012
700.6672764047763580.6654471904472830.332723595223642
710.62433013134550.7513397373089990.375669868654500
720.5818350164949610.8363299670100790.418164983505039
730.5402115871740760.9195768256518470.459788412825924
740.4921148415258030.9842296830516050.507885158474197
750.443995087705450.88799017541090.55600491229455
760.4213123798050320.8426247596100650.578687620194968
770.3817714440702930.7635428881405850.618228555929707
780.3631557311726060.7263114623452130.636844268827394
790.3476109026756020.6952218053512030.652389097324398
800.326172766780760.652345533561520.67382723321924
810.2898393152073010.5796786304146030.710160684792698
820.2535476550953530.5070953101907060.746452344904647
830.237495414163320.474990828326640.76250458583668
840.2083119745810250.416623949162050.791688025418975
850.2100935333898160.4201870667796320.789906466610184
860.2250635443824580.4501270887649160.774936455617542
870.2356753088841160.4713506177682320.764324691115884
880.1999641692434160.3999283384868330.800035830756584
890.1912545543401060.3825091086802110.808745445659894
900.1963687050611040.3927374101222070.803631294938896
910.2259232179776580.4518464359553160.774076782022342
920.1905533526785160.3811067053570330.809446647321484
930.3374616279370910.6749232558741830.662538372062909
940.3724552387519330.7449104775038660.627544761248067
950.6527103045043120.6945793909913760.347289695495688
960.6273428213283840.7453143573432320.372657178671616
970.6819050171976210.6361899656047570.318094982802379
980.6335077570603260.7329844858793470.366492242939674
990.6135618495641110.7728763008717780.386438150435889
1000.5634562066120940.8730875867758120.436543793387906
1010.5144981116512380.9710037766975230.485501888348762
1020.5077077582225230.9845844835549530.492292241777477
1030.462432833507310.924865667014620.53756716649269
1040.4525287729815150.905057545963030.547471227018485
1050.4138838799290530.8277677598581050.586116120070947
1060.3628917103538830.7257834207077660.637108289646117
1070.3284506851047450.6569013702094890.671549314895255
1080.2864182562172060.5728365124344120.713581743782794
1090.2455535526208820.4911071052417640.754446447379118
1100.2322954058137710.4645908116275430.767704594186229
1110.4071212743336050.8142425486672110.592878725666395
1120.4288663788319950.857732757663990.571133621168005
1130.3716257072222790.7432514144445580.628374292777721
1140.3770624742941100.7541249485882190.622937525705890
1150.3549704376545530.7099408753091070.645029562345447
1160.3050397478789600.6100794957579210.69496025212104
1170.2765981486985520.5531962973971040.723401851301448
1180.2949713800620370.5899427601240750.705028619937963
1190.4983424899937420.9966849799874830.501657510006258
1200.445566921874160.891133843748320.55443307812584
1210.3785003948468540.7570007896937080.621499605153146
1220.3413539282446790.6827078564893570.658646071755321
1230.288186418815140.576372837630280.71181358118486
1240.2540354015408620.5080708030817250.745964598459138
1250.2054219868460950.4108439736921890.794578013153905
1260.1948559424497450.3897118848994900.805144057550255
1270.1457946815626370.2915893631252730.854205318437363
1280.1258173424052410.2516346848104820.874182657594759
1290.1245311465209270.2490622930418540.875468853479073
1300.09541888100986060.1908377620197210.90458111899014
1310.2232488422135420.4464976844270840.776751157786458
1320.1633881946147820.3267763892295650.836611805385218
1330.1618922530869850.3237845061739690.838107746913015
1340.10969730169910.21939460339820.8903026983009
1350.0773373205489190.1546746410978380.922662679451081
1360.04204188926339350.0840837785267870.957958110736607
1370.02382211065382880.04764422130765770.976177889346171


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.00769230769230769OK
10% type I error level30.0230769230769231OK