Multiple Linear Regression - Estimated Regression Equation
Career[t] = + 35.6197069170407 -4.20093745979937G[t] + 0.303034366183493PersonalStandards[t] -0.109468762466678PeG[t] + 0.412309083181142ParentalExpectations[t] -0.276661343000588PaG[t] -0.0970531156282461Doubts[t] -0.10921706564172DoG[t] + 0.357180220712839LeadershipPreference[t] + 0.848010745963901LeaderG[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)35.61970691704075.5127776.461300
G-4.200937459799376.906744-0.60820.5440450.272022
PersonalStandards0.3030343661834930.3227880.93880.3494960.174748
PeG-0.1094687624666780.219679-0.49830.6190680.309534
ParentalExpectations0.4123090831811420.4240450.97230.3326150.166308
PaG-0.2766613430005880.28108-0.98430.3267260.163363
Doubts-0.09705311562824610.498395-0.19470.8458940.422947
DoG-0.109217065641720.32723-0.33380.7390730.369536
LeadershipPreference0.3571802207128391.4780730.24170.8094130.404707
LeaderG0.8480107459639011.0625750.79810.4262210.21311


Multiple Linear Regression - Regression Statistics
Multiple R0.383762411540398
R-squared0.147273588511302
Adjusted R-squared0.0908431642216089
F-TEST (value)2.60982600016
F-TEST (DF numerator)9
F-TEST (DF denominator)136
p-value0.00822614597671567
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.03782172596273
Sum Squared Residuals3451.63209299117


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14140.05176692147050.948233078529488
23841.2569578881473-3.25695788814727
33739.9599165256658-2.95991652566583
43635.41289599986050.587104000139511
54239.43003014249682.56996985750324
64440.08079723421253.91920276578751
74038.83395784695881.16604215304124
84341.12131014796671.87868985203328
94039.91469535745150.0853046425485062
104539.88286686982265.11713313017744
114740.83766880546376.16233119453627
124544.32008289757910.679917102420903
134543.21953337397831.78046662602166
144040.7552350902808-0.755235090280827
154938.871148172611510.1288518273885
164842.50039627477375.49960372522629
174439.75923560416294.24076439583709
182941.5109399043595-12.5109399043595
194240.4135754435161.58642455648402
204542.79843348194812.20156651805187
213241.778313011923-9.77831301192297
223241.778313011923-9.77831301192297
234144.012097508397-3.01209750839702
242935.2484256767422-6.24842567674218
253839.6759164677516-1.67591646775157
264141.0669989778105-0.0669989778105496
273839.6688090321967-1.66880903219669
282437.8844236656949-13.8844236656949
293436.5149914999131-2.51499149991307
303835.9074737263882.09252627361203
313738.1811690475746-1.18116904757464
324640.98984360817725.01015639182283
334844.77917716405043.22082283594965
344241.16092629195160.83907370804844
354640.64374448633565.35625551366436
364339.94019098227593.05980901772408
373840.4049655966357-2.40496559663572
383941.4540231427896-2.45402314278962
393439.0639653325826-5.0639653325826
403940.1097712547249-1.10977125472492
413536.2246240993669-1.22462409936689
424139.37736470985071.6226352901493
434038.74912053475961.25087946524041
444340.93482193879132.06517806120869
453737.4138868521318-0.413886852131793
464140.08845683029150.911543169708499
474640.83731009005255.16268990994754
482637.9027332674775-11.9027332674775
494138.76150674141952.2384932585805
503738.6571836692368-1.65718366923676
513941.5282533685084-2.52825336850838
524443.2308141276930.769185872306996
533935.77274008515933.22725991484068
543640.7615150518722-4.7615150518722
553837.65266574183170.347334258168281
563837.59048020818630.409519791813675
573839.0245893332805-1.02458933328049
583241.7000337049487-9.70003370494865
593338.2192420338218-5.21924203382175
604640.57075812521585.42924187478417
614241.3192895015610.680710498439038
624235.81248008802236.18751991197769
634339.8765816247923.12341837520796
644135.20843774592795.79156225407208
654939.27457038920829.72542961079182
664540.43393661434364.56606338565641
673940.8627886518292-1.86278865182924
684541.71328771283183.28671228716817
693138.8593670020651-7.85936700206507
703038.8593670020651-8.85936700206507
714541.44774318119823.55225681880176
724844.11101926957343.88898073042661
732838.9849816957513-10.9849816957513
743537.1016091553493-2.1016091553493
753840.6635564994437-2.66355649944368
763940.1082609611683-1.10826096116831
774040.1407775518295-0.140777551829492
783838.5765610437887-0.576561043788673
794240.32730416526621.67269583473379
803635.44721663562780.552783364372157
814942.90568763223736.0943123677627
824140.30182656488510.698173435114875
831835.8074362766298-17.8074362766298
843638.1242522860047-2.12425228600474
854239.29171149548182.70828850451819
864142.5977965950046-1.59779659500457
874339.7988596303793.20114036962103
884639.87090589530696.12909410469313
893741.6075966687924-4.60759666879241
903839.476578076493-1.47657807649301
914339.09742537385423.90257462614578
924142.8040667762745-1.80406677627453
933533.88609656528061.11390343471943
943939.7592356041629-0.75923560416291
954239.75514875572132.24485124427875
963640.4929412455571-4.49294124555707
973540.7977804157857-5.79778041578574
983335.6333896084065-2.63338960840652
993638.4397192039703-2.43971920397025
1004838.92706320799069.07293679200939
1014139.67591646775161.32408353224843
1024739.46698326187847.53301673812158
1034139.26479992905011.73520007094988
1043141.1763017763391-10.1763017763391
1053641.6257873760295-5.62578737602948
1064641.52825336850844.47174663149162
1073938.52220088442820.477799115571808
1084440.688965654553.31103434545002
1094337.24722493261545.75277506738456
1103240.7933119670766-8.79331196707659
1114040.0687312869016-0.0687312869015939
1124039.15456134397590.845438656024131
1134636.9293002246649.07069977533604
1144539.32928451208165.6707154879184
1153940.204292557364-1.20429255736402
1164441.32047289368182.67952710631819
1173540.7243316512186-5.72433165121862
1183838.4694762148061-0.469476214806086
1193836.47856754197771.52143245802232
1203637.8322217593913-1.83222175939133
1214238.36192265325773.63807734674233
1223938.7192827331640.280717266835965
1234142.8492800622576-1.84928006225764
1244139.81132995175521.18867004824482
1254737.67775475724649.32224524275363
1263938.88476827494010.115231725059853
1274039.6124014622170.387598537782964
1284440.24391658358013.75608341641991
1294238.98498107152693.01501892847313
1303537.7346715188163-2.73467151881626
1314642.61760072588143.38239927411862
1324337.49327779218145.50672220781863
1334039.95440378788990.0455962121100556
1344439.83136833880894.16863166119107
1353740.3795564415294-3.37955644152942
1364641.37620626313094.62379373686914
1374442.79843348194811.20156651805187
1383538.7045899798496-3.7045899798496
1393937.51142085965291.48857914034711
1404038.23904616469861.76095383530144
1414239.29171149548182.70828850451819
1423738.7349135458811-1.73491354588106
1432939.1506187760422-10.1506187760421
1443338.0072882408354-5.00728824083539
1453539.2943824023162-4.29438240231621
1464235.53614867849996.4638513215001


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.2227260100724410.4454520201448830.777273989927559
140.1049118510623110.2098237021246210.89508814893769
150.06079219593653210.1215843918730640.939207804063468
160.0320584705154040.06411694103080810.967941529484596
170.01389830039291150.02779660078582310.986101699607088
180.01927416303033730.03854832606067450.980725836969663
190.008844012283397340.01768802456679470.991155987716603
200.009961318140700380.01992263628140080.9900386818593
210.08430626761431780.1686125352286360.915693732385682
220.1143354580557120.2286709161114240.885664541944288
230.135418267733430.2708365354668590.86458173226657
240.1690640594969610.3381281189939230.830935940503039
250.121934547651350.24386909530270.87806545234865
260.1821016014212310.3642032028424620.817898398578769
270.139078073638670.2781561472773390.86092192636133
280.6210378748410690.7579242503178620.378962125158931
290.6034881910546370.7930236178907260.396511808945363
300.5484471366429190.9031057267141620.451552863357081
310.4849285197555740.9698570395111490.515071480244426
320.4807304073034720.9614608146069450.519269592696528
330.6441871547504010.7116256904991980.355812845249599
340.6063911461599020.7872177076801960.393608853840098
350.6496013268651710.7007973462696570.350398673134829
360.6469787849115880.7060424301768240.353021215088412
370.6046313191629440.7907373616741120.395368680837056
380.5513056929283660.8973886141432670.448694307071634
390.6943340163517240.6113319672965520.305665983648276
400.6420998693677980.7158002612644040.357900130632202
410.6031250448681030.7937499102637930.396874955131897
420.5792364641869390.8415270716261210.420763535813061
430.543907724181480.912184551637040.45609227581852
440.4940234122446840.9880468244893680.505976587755316
450.44566567005960.89133134011920.5543343299404
460.3910131645900260.7820263291800520.608986835409974
470.4133679872688290.8267359745376580.586632012731171
480.6433908092775350.7132183814449290.356609190722465
490.6072785572507620.7854428854984770.392721442749238
500.5568005717475370.8863988565049270.443199428252463
510.5142104995076590.9715790009846810.485789500492341
520.461146383657370.922292767314740.53885361634263
530.430619051869820.861238103739640.56938094813018
540.4211876307531230.8423752615062460.578812369246877
550.3764501828782710.7529003657565420.623549817121729
560.3286923036357590.6573846072715180.671307696364241
570.2853991197952350.570798239590470.714600880204765
580.4027416483761450.805483296752290.597258351623855
590.3910058436782650.782011687356530.608994156321735
600.3835818538952410.7671637077904830.616418146104759
610.3367596447096230.6735192894192460.663240355290377
620.3574508741823430.7149017483646860.642549125817657
630.3313902326214070.6627804652428140.668609767378593
640.3746131830538460.7492263661076920.625386816946154
650.5034792144558970.9930415710882050.496520785544103
660.5127001624882970.9745996750234050.487299837511703
670.4709248019746170.9418496039492350.529075198025383
680.4382167777732960.8764335555465910.561783222226704
690.4919323030214660.9838646060429330.508067696978534
700.5850388034241870.8299223931516250.414961196575813
710.5583077601320090.8833844797359810.441692239867991
720.5444946417634060.9110107164731870.455505358236594
730.7528883338667960.4942233322664090.247111666133204
740.7171579800321840.5656840399356320.282842019967816
750.6880010250354340.6239979499291320.311998974964566
760.6445203572920460.7109592854159070.355479642707954
770.5984687545667610.8030624908664780.401531245433239
780.5499558297553170.9000883404893660.450044170244683
790.51144690329170.97710619341660.4885530967083
800.4674817896396860.9349635792793710.532518210360314
810.5154452130772830.9691095738454350.484554786922717
820.4683958879226720.9367917758453430.531604112077328
830.949544424942030.100911150115940.0504555750579702
840.9375216088101330.1249567823797350.0624783911898675
850.9271639191577790.1456721616844430.0728360808422213
860.9079959743263280.1840080513473440.092004025673672
870.8942579809428210.2114840381143570.105742019057179
880.9110289222583860.1779421554832280.088971077741614
890.903151597832480.1936968043350420.096848402167521
900.881884244965110.2362315100697810.11811575503489
910.879307925826980.2413841483460410.120692074173021
920.8513796438697590.2972407122604820.148620356130241
930.8183524944171090.3632950111657820.181647505582891
940.7867466587919480.4265066824161040.213253341208052
950.7531143999566450.493771200086710.246885600043355
960.7414303148830970.5171393702338050.258569685116903
970.7787473653082420.4425052693835160.221252634691758
980.7765635529571490.4468728940857010.223436447042851
990.7873741575085730.4252516849828540.212625842491427
1000.8545389730650240.2909220538699520.145461026934976
1010.82044561043170.3591087791366020.179554389568301
1020.8242490530796280.3515018938407450.175750946920372
1030.7863816631577860.4272366736844290.213618336842214
1040.8612400651228170.2775198697543650.138759934877183
1050.8860661292780440.2278677414439110.113933870721956
1060.879179724941630.2416405501167410.120820275058371
1070.8570325267810390.2859349464379220.142967473218961
1080.838743201033640.322513597932720.16125679896636
1090.8266907562991230.3466184874017550.173309243700877
1100.9260336257257310.1479327485485380.0739663742742688
1110.9215243868427210.1569512263145580.078475613157279
1120.8962439054871340.2075121890257320.103756094512866
1130.9086896165148760.1826207669702480.0913103834851242
1140.8840454302134450.2319091395731110.115954569786555
1150.846156838950360.3076863220992790.15384316104964
1160.8717712893435160.2564574213129680.128228710656484
1170.882927779944490.2341444401110190.117072220055509
1180.848372807112010.3032543857759790.151627192887989
1190.7992669250936160.4014661498127690.200733074906384
1200.7673420583457780.4653158833084450.232657941654222
1210.7063256982979190.5873486034041610.293674301702081
1220.6439082608920580.7121834782158850.356091739107942
1230.5633491185044080.8733017629911830.436650881495592
1240.5113507493959890.9772985012080220.488649250604011
1250.9163179500822770.1673640998354460.0836820499177228
1260.8759661692373770.2480676615252450.124033830762623
1270.9284078246926150.1431843506147690.0715921753073847
1280.8812096213981240.2375807572037510.118790378601876
1290.8135749380302520.3728501239394960.186425061969748
1300.8907803484887890.2184393030224220.109219651511211
1310.9281234545987960.1437530908024080.071876545401204
1320.9632572769421480.07348544611570390.0367427230578519
1330.8962729628843850.2074540742312310.103727037115615


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level40.0330578512396694OK
10% type I error level60.0495867768595041OK