Multiple Linear Regression - Estimated Regression Equation
StudyForCareer[t] = + 32.5202067294365 + 0.174192543560943PersonalStandards[t] + 0.0466789923587195ParentalExpectations[t] -0.217373134461697Doubts[t] + 1.39806533965884LeaderPreference[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)32.52020672943653.25035810.005100
PersonalStandards0.1741925435609430.103831.67770.0956270.047814
ParentalExpectations0.04667899235871950.1279440.36480.7157790.357889
Doubts-0.2173731344616970.154972-1.40270.1629150.081457
LeaderPreference1.398065339658840.4822252.89920.004340.00217


Multiple Linear Regression - Regression Statistics
Multiple R0.367916033517428
R-squared0.135362207719197
Adjusted R-squared0.110833476023288
F-TEST (value)5.51851638304525
F-TEST (DF numerator)4
F-TEST (DF denominator)141
p-value0.000371345161075842
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.98212870492208
Sum Squared Residuals3499.84650696961


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14139.81304301266211.18695698733793
23841.2111083523209-3.21110835232092
33740.1192740985965-3.11927409859654
44239.97573872006242.02426127993759
54038.30045609584621.69954390415383
64341.16442935996221.8355706400378
74040.2412610268408-0.241261026840763
84544.2256137978870.774386202112998
94542.49315697693812.50684302306185
104440.40293014452783.59706985547223
114240.00372593172611.99627406827385
123242.0810694383389-10.0810694383389
133242.0810694383389-10.0810694383389
144143.5278170339299-2.52781703392991
153839.9827355229783-1.98273552297835
163840.2342642239248-2.23426422392483
172437.9737031493351-13.9737031493351
184641.68103677744244.31896322255758
194240.95405302841641.04594697158356
204640.85369824078315.14630175921693
214340.25628122238602.74371877761405
223840.5951727369207-2.59517273692065
233939.869215577608-0.86921557760799
244038.63281935563621.36718064436384
253737.2764644269201-0.276464426920151
264140.41748179190170.582518208098259
274641.0278907843444.97210921565599
282638.1052731435374-12.1052731435374
293739.0103914278269-2.01039142782694
303941.3044663370384-2.30446633703836
314443.01123457437630.988765425623704
323837.53498993078260.465010069217436
333836.91553095599771.08446904400228
343839.4957836387382-1.49578363873823
353338.2829640885563-5.28296408855634
364340.11171925413852.88828074586150
374135.10126290234535.89873709765475
384940.13740783774948.86259216225058
394542.20508458808322.79491541191682
403138.3868172776477-7.38681727764769
413038.3868172776477-8.38681727764768
423840.6453501307373-2.64535013073734
433940.4154535704017-1.41545357040171
444040.2502860512567-0.250286051256730
453635.35978840620770.640211593792333
464943.63131032309765.36868967690242
474140.58964611396270.41035388603735
481835.9617304157761-17.9617304157761
494238.81953532507103.18046467492896
504142.6558526843385-1.65585268433848
514339.98623392443633.01376607556369
524639.68203106000196.31796893999811
534142.8732258188002-1.87322581880017
543940.4029301445278-1.40293014452777
554239.56198285988682.43801714011318
563541.1669261296335-6.16692612963345
573638.2035997096708-2.20359970967077
584839.37232653053618.62767346946392
594139.98273552297831.01726447702165
604738.44951809733838.5504819026617
614139.07309224751761.92690775248244
623142.1067580219498-11.1067580219498
633641.2216035566948-5.22160355669482
644641.30446633703844.69553366296164
654440.73171131253883.26828868746116
664337.05503484945845.94496515054162
674040.5544889156912-0.55448891569115
684039.11277443696030.887225563039656
694637.14592102243128.85407897756882
703940.6725088943062-1.67250889430619
714441.63333119537042.36666880462962
723836.44665407851611.55334592148385
733939.7011913888681-0.7011913888681
744142.9575587791016-1.95755877910164
753938.67949834799490.320501652005117
764039.56051267992890.439487320071111
774440.25581267421473.74418732578527
784239.49984008173832.50015991826170
794642.65382446283843.34617553716156
804440.0273862938373.97261370616297
813740.5088115551191-3.50881155511914
823937.19360164657661.80639835342339
834038.28093586705631.71906413294369
844238.81953532507103.18046467492896
853738.9295568689834-1.92955686898343
863337.8422226485037-4.84222264850373
873539.9290597277037-4.9290597277037
884235.66205254251296.33794745748706
893635.87536923397460.124630766025435
904439.49578363873824.50421636126177
914539.76333416701665.23666583298338
924741.06351653078675.93648346921328
934041.0835948011187-1.08359480111870
944938.684023339166210.3159766608338
954844.11762047547463.88237952452535
962940.7136612637069-11.7136612637069
974541.63932636649963.3606736335004
982936.4536508814321-7.45365088143208
994140.3743012010010.625698798999012
1003437.0445396450845-3.04453964508448
1013836.07819072106231.92180927893771
1023737.8823733861177-0.882373386117737
1034844.04442445141013.95557554858987
1043940.9345327996266-1.93453279962657
1053440.4384722006495-6.43847220064954
1063536.4898346694169-1.48983466941690
1074140.06807011506650.931929884933467
1084339.32564753817743.67435246182264
1094138.45365823065932.54634176934068
1103936.04053675311952.95946324688046
1113640.9992618408172-4.99926184081723
1123241.5414433906109-9.54144339061087
1134639.97720890002036.02279109997965
1144240.89687883168381.10312116831618
1154236.26693491199725.7330650880028
1164539.35177971203295.64822028796711
1173940.7261846895808-1.72618468958084
1184541.0188657599283.98113424007196
1194842.37228032872825.62771967127181
1202838.2422802673268-10.2422802673268
1213537.5314915293246-2.53149152932460
1223838.9460472444866-0.946047244486552
1234238.35929861415523.64070138584483
1243638.1032449220374-2.1032449220374
1253740.7191878866649-3.71918788666491
1263839.0625970431437-1.06259704314366
1274340.74920331982872.25079668017132
1283534.65196498604790.348035013952111
1293639.7186833961579-3.71868339615793
1303336.2814865593712-3.28148655937117
1313938.15591908552530.844080914474662
1323241.1157221461035-9.11572214610345
1334539.19360899580385.80639100419615
1343539.7618639870587-4.76186398705869
1353837.70468244109880.295317558901173
1363637.3542691324769-1.35426913247690
1374238.06209255263673.93790744736332
1384139.42047570285271.57952429714727
1394738.77488455421248.22511544578764
1403538.5540130182927-3.55401301829269
1414337.6684986531145.33150134688599
1424040.1061926311805-0.106192631180502
1434640.67600729576425.32399270423585
1444441.63932636649962.3606736335004
1453538.674529766579-3.67452976657898
1462939.6016650493296-10.6016650493296


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2111449885492410.4222899770984820.788855011450759
90.1112048972439540.2224097944879080.888795102756046
100.05028840496738510.1005768099347700.949711595032615
110.02126024821543770.04252049643087550.978739751784562
120.1922904137682240.3845808275364490.807709586231776
130.2312930432098330.4625860864196660.768706956790167
140.2552493126480830.5104986252961660.744750687351917
150.1806767294510070.3613534589020130.819323270548993
160.1282741696954080.2565483393908160.871725830304592
170.6798687957056630.6402624085886740.320131204294337
180.6633198131846050.673360373630790.336680186815395
190.6183371172388580.7633257655222840.381662882761142
200.6718814540630350.656237091873930.328118545936965
210.6712626709483370.6574746581033270.328737329051663
220.6210909354467780.7578181291064450.378909064553222
230.5504269003912330.8991461992175330.449573099608767
240.5119793707472050.976041258505590.488020629252795
250.4542366865717030.9084733731434050.545763313428297
260.3867155773158030.7734311546316060.613284422684197
270.4241365100398530.8482730200797050.575863489960147
280.696282358465490.607435283069020.30371764153451
290.6402317772106230.7195364455787530.359768222789377
300.5910740629812630.8178518740374740.408925937018737
310.5306524958596160.9386950082807670.469347504140384
320.4788513269189520.9577026538379040.521148673081048
330.4213912855308510.8427825710617020.578608714469149
340.3655716744876050.731143348975210.634428325512395
350.3453910420769740.6907820841539470.654608957923026
360.3220250438915420.6440500877830830.677974956108458
370.3957358793509520.7914717587019040.604264120649048
380.5359989504733740.9280020990532520.464001049526626
390.4964117652291130.9928235304582260.503588234770887
400.5241102183034160.9517795633931680.475889781696584
410.5701779330691570.8596441338616850.429822066930843
420.5246414181502030.9507171636995940.475358581849797
430.4749801590352530.9499603180705050.525019840964747
440.4233203964913310.8466407929826620.576679603508669
450.3822757313247780.7645514626495550.617724268675222
460.3667173545017700.7334347090035390.63328264549823
470.3178383826654560.6356767653309130.682161617334544
480.8121437767364320.3757124465271370.187856223263568
490.803774583428740.3924508331425190.196225416571259
500.7695032490215330.4609935019569350.230496750978467
510.7519379981118250.496124003776350.248062001888175
520.7903110691466640.4193778617066720.209688930853336
530.757040530865720.4859189382685610.242959469134280
540.7228542743903790.5542914512192420.277145725609621
550.6964715505911640.6070568988176730.303528449408836
560.712904176653010.5741916466939810.287095823346990
570.6775694776598640.6448610446802710.322430522340136
580.7848813820961430.4302372358077140.215118617903857
590.7496402849691280.5007194300617440.250359715030872
600.8280249372656290.3439501254687420.171975062734371
610.8005034111480020.3989931777039960.199496588851998
620.9028228379060150.194354324187970.097177162093985
630.90525990872670.1894801825466010.0947400912733006
640.9016224462063850.1967551075872300.0983775537936151
650.8886483306867050.222703338626590.111351669313295
660.9020019904072190.1959960191855620.097998009592781
670.881248191994680.2375036160106410.118751808005321
680.856652595741080.2866948085178390.143347404258920
690.9090985929023110.1818028141953770.0909014070976885
700.8902654083065050.219469183386990.109734591693495
710.8714817599431710.2570364801136570.128518240056829
720.8477742821877950.3044514356244110.152225717812205
730.8203454772682220.3593090454635560.179654522731778
740.7925456268125850.4149087463748310.207454373187415
750.7564370446316280.4871259107367450.243562955368372
760.7173052009870590.5653895980258820.282694799012941
770.6969319898042920.6061360203914170.303068010195708
780.6624184901525150.6751630196949690.337581509847485
790.6372987294535130.7254025410929730.362701270546487
800.6200424462333090.7599151075333820.379957553766691
810.5950073138875850.809985372224830.404992686112415
820.5562245762528060.8875508474943880.443775423747194
830.5140424879649410.9719150240701180.485957512035059
840.4934568652599440.9869137305198880.506543134740056
850.4510546765326150.902109353065230.548945323467385
860.440874171043310.881748342086620.55912582895669
870.4538166299395310.9076332598790620.546183370060469
880.4765414477909190.9530828955818370.523458552209081
890.4274378351531160.8548756703062320.572562164846884
900.414348745400490.828697490800980.58565125459951
910.419112318154610.838224636309220.58088768184539
920.454039979326630.908079958653260.54596002067337
930.4054005252104630.8108010504209270.594599474789537
940.5764045767009690.8471908465980630.423595423299031
950.6032636839007060.7934726321985870.396736316099294
960.8221419425975870.3557161148048260.177858057402413
970.8021568157434450.3956863685131100.197843184256555
980.8299995079450190.3400009841099620.170000492054981
990.7943545734965950.411290853006810.205645426503405
1000.7755748397728550.4488503204542890.224425160227145
1010.7360711912931590.5278576174136820.263928808706841
1020.6930781955796750.6138436088406510.306921804420326
1030.6822941517397120.6354116965205770.317705848260288
1040.6399268775498220.7201462449003570.360073122450178
1050.6265975769625220.7468048460749550.373402423037478
1060.5865997360229910.8268005279540190.413400263977009
1070.533653139068410.932693721863180.46634686093159
1080.4965005026140010.9930010052280020.503499497385999
1090.4491877765083830.8983755530167670.550812223491617
1100.401446431038380.802892862076760.59855356896162
1110.3817626709629280.7635253419258560.618237329037072
1120.5675169015731530.8649661968536940.432483098426847
1130.5853565470771230.8292869058457540.414643452922877
1140.5260754090623850.947849181875230.473924590937615
1150.5315986950006360.9368026099987280.468401304999364
1160.5066090873034890.9867818253930210.493390912696511
1170.4505070504273870.9010141008547740.549492949572613
1180.4150765691485140.8301531382970290.584923430851486
1190.4307692055917510.8615384111835030.569230794408249
1200.6240334110384180.7519331779231640.375966588961582
1210.5699130202267750.860173959546450.430086979773225
1220.5003371978113270.9993256043773460.499662802188673
1230.4598863396101480.9197726792202960.540113660389852
1240.3988585396807720.7977170793615440.601141460319228
1250.3570681035122390.7141362070244790.64293189648776
1260.2977040665011270.5954081330022540.702295933498873
1270.2820994933452370.5641989866904740.717900506654763
1280.2193369785785680.4386739571571350.780663021421433
1290.1908351189704110.3816702379408220.809164881029589
1300.1854495692545180.3708991385090360.814550430745482
1310.1456995680273080.2913991360546150.854300431972692
1320.2948419847674510.5896839695349020.705158015232549
1330.2226589142175250.4453178284350500.777341085782475
1340.2166046879717250.433209375943450.783395312028275
1350.1514166742856760.3028333485713520.848583325714324
1360.1085668742847270.2171337485694550.891433125715273
1370.06138364616853750.1227672923370750.938616353831462
1380.03548486152535900.07096972305071810.964515138474641


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.00763358778625954OK
10% type I error level20.0152671755725191OK