Multiple Linear Regression - Estimated Regression Equation
ConcMistakes[t] = -1.5248892301341 -0.599776425471945Gender[t] + 0.812146509740824DoubtsActions[t] + 0.258421861231516ParExp[t] + 0.179796229544163ParCrit[t] + 0.563133007199381PersonalStandards[t] -0.115118381547464Organisation[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1.52488923013413.115376-0.48950.6252130.312607
Gender-0.5997764254719450.803715-0.74630.4566660.228333
DoubtsActions0.8121465097408240.1305526.220900
ParExp0.2584218612315160.1332991.93870.0543950.027198
ParCrit0.1797962295441630.1689081.06450.2888060.144403
PersonalStandards0.5631330071993810.0960335.86400
Organisation-0.1151183815474640.103177-1.11570.2662940.133147


Multiple Linear Regression - Regression Statistics
Multiple R0.639796340883729
R-squared0.409339357808208
Adjusted R-squared0.386023806142743
F-TEST (value)17.5564946384912
F-TEST (DF numerator)6
F-TEST (DF denominator)152
p-value2.22044604925031e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.48420824730765
Sum Squared Residuals3056.43478799373


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12425.3674713868651-1.36747138686511
22522.08664764638172.91335235361827
31723.1955619828948-6.19556198289476
41819.6954852711489-1.69548527114888
51819.2934117319808-1.29341173198077
61619.4069284768995-3.40692847689946
72020.7589904748235-0.758990474823452
81622.1639181031645-6.16391810316451
91822.2699711701797-4.26997117017975
101720.3748373668623-3.37483736686227
112322.74516218791690.2548378120831
123022.78097723083567.21902276916444
132314.92749990525548.07250009474463
141818.9270333019304-0.927033301930446
151521.5094110329846-6.50941103298456
161217.7007097310609-5.70070973106094
172119.81495070195151.18504929804847
181515.1559582544423-0.155958254442295
192019.65033667131270.349663328687287
203126.86578360679554.13421639320451
212725.65268810851141.34731189148858
223427.02245604763796.97754395236206
232119.42195109766821.57804890233179
243120.756645283431110.2433547165689
251919.1293017221016-0.129301722101633
261620.6559948406093-4.65599484060933
272021.4552422506445-1.45524225064448
282118.09898917361772.90101082638234
292221.80503817485660.194961825143429
301719.3641178881308-2.36411788813077
312420.14126568525893.85873431474111
322530.8764051306378-5.87640513063775
332627.2180233678308-1.21802336783077
342523.87443905560151.12556094439853
351722.8568298063824-5.8568298063824
363227.61203191714374.38796808285625
373323.44863988743019.5513601125699
381321.9103787110914-8.91037871109142
393227.66536052551954.33463947448045
402525.6638628360616-0.663862836061555
412926.88284801913442.1171519808656
422221.85132745959290.148672540407081
431817.23834681111270.761653188887309
441721.6489862638793-4.6489862638793
452022.6128997275348-2.61289972753484
461520.2868033764848-5.28680337648485
472022.0348068058981-2.03480680589807
483327.90737468235525.09262531764483
492922.56661044279856.43338955720151
502326.5579698959982-3.55796989599819
512623.66996715849992.33003284150006
521818.7870370972407-0.787037097240737
532019.17535349906430.82464650093573
541111.6230304916359-0.623030491635941
552828.7621782677923-0.762178267792346
562623.14943025006492.85056974993514
572222.669269923808-0.669269923808018
581720.0517776355677-3.05177763556769
591215.8538857599063-3.85388575990633
601420.8973540189012-6.89735401890124
611720.5411139668356-3.54111396683558
622121.1874120307229-0.187412030722894
631922.7894496147904-3.78944961479037
641822.8711309424203-4.87113094242027
651018.3900018497382-8.3900018497382
662924.63707205257634.36292794742368
673118.279601733467812.7203982665322
681923.3693885717829-4.36938857178287
69919.9178025587064-10.9178025587064
702022.2903219027409-2.29032190274093
712817.462198113851310.5378018861487
721918.54687009102140.453129908978567
733023.49043661605286.50956338394725
742927.59099683312541.40900316687456
752621.9399002945694.06009970543104
762319.98118216989653.01881783010348
771322.6314806665406-9.63148066654058
782122.4832495856698-1.48324958566979
791921.2573070106616-2.25730701066162
802822.7929283107585.20707168924198
812325.3729608504198-2.37296085041983
821813.60940691489434.3905930851057
832121.1856456618628-0.185645661862836
842021.6207025203118-1.62070252031183
852319.80307235334523.19692764665485
862120.70208832490490.297911675095094
872121.6170380931145-0.617038093114459
881522.6231781689117-7.62317816891175
892826.94497625494551.05502374505454
901917.51221049328231.48778950671773
912621.11208133961044.88791866038963
921013.0189051398643-3.01890513986429
931617.5590386226172-1.55903862261723
942221.0384632649770.96153673502298
951918.54285255045520.457147449544845
963128.60839159234012.39160840765988
973125.65336066135825.34663933864182
982924.65069436641224.34930563358783
991917.86297341621281.13702658378723
1002218.74379835435233.25620164564775
1012322.20566280880560.794337191194412
1021516.6220171743863-1.62201717438634
1032021.913173055602-1.91317305560195
1041819.3399853933777-1.33998539337772
1052321.8102153288651.18978467113503
1062520.83349250121054.1665074987895
1072116.39468028472684.60531971527318
1082419.3148508370894.68514916291101
1092525.0709120701137-0.0709120701136659
1101719.4547342883026-2.45473428830264
1111314.4287552152974-1.4287552152974
1122818.03836392900459.96163607099551
1132120.48866266569780.511337334302206
1142527.9423547054043-2.94235470540425
115921.0762576763391-12.0762576763391
1161617.6939237600989-1.69392376009894
1171921.046422718448-2.04642271844801
1181719.2889309744774-2.28893097447745
1192524.36596446638290.634035533617051
1202015.41969589304674.58030410695328
1212921.445937691487.55406230852002
1221418.8999489107604-4.89994891076041
1232226.7321259935752-4.73212599357522
1241515.3865155722756-0.386515572275644
1251925.8655570594453-6.86555705944529
1262021.8185578044274-1.81855780442743
1271517.9017713795316-2.90177137953155
1282021.6120705139941-1.61207051399408
1291820.0655867958938-2.06558679589383
1303325.28989443916287.71010556083722
1312223.5892499774693-1.58924997746931
1321616.3167272058862-0.316727205886224
1331718.8852557986806-1.88525579868057
1341614.9061594455781.09384055442197
1352117.49841337800413.50158662199593
1362628.1082687097083-2.10826870970826
1371821.0102381889068-3.0102381889068
1381822.927996914261-4.92799691426099
1391718.1546868170441-1.15468681704408
1402224.5338027250514-2.5338027250514
1413024.52975012166795.47024987833213
1423027.6934119154082.306588084592
1432429.7180440769175-5.7180440769175
1442121.8284181608956-0.82841816089561
1452125.2236239084878-4.22362390848779
1462927.23284638830291.76715361169705
1473123.08706656947737.91293343052268
1482018.80929253265491.19070746734509
1491614.63844887008581.36155112991424
1502219.34844371351372.65155628648631
1512020.1300202451636-0.130020245163567
1522827.19514913195070.804850868049288
1533826.486802788119611.5131972118804
1542219.79921935025822.20078064974181
1552025.5275587020833-5.52755870208333
1561718.5047320550995-1.5047320550995
1572824.27874680631153.72125319368852
1582223.9638509492812-1.96385094928122
1593126.52710345326474.4728965467353


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.08444205002012250.1688841000402450.915557949979877
110.04647527809209310.09295055618418630.953524721907907
120.1302788762902420.2605577525804830.869721123709758
130.08449614378396830.1689922875679370.915503856216032
140.1297717540783890.2595435081567790.870228245921611
150.08379025200704870.1675805040140970.916209747992951
160.0616355405147510.1232710810295020.938364459485249
170.08234060909972830.1646812181994570.917659390900272
180.1034310295336430.2068620590672870.896568970466357
190.09895158969193910.1979031793838780.901048410308061
200.1352331782480430.2704663564960870.864766821751957
210.09646720424427250.1929344084885450.903532795755728
220.2737744566577810.5475489133155610.726225543342219
230.2136506452333840.4273012904667680.786349354766616
240.5176511664818890.9646976670362230.482348833518111
250.444308884692390.888617769384780.55569111530761
260.4717275156773120.9434550313546240.528272484322688
270.4155779062595930.8311558125191860.584422093740407
280.3725666406401880.7451332812803770.627433359359812
290.3217301524907640.6434603049815280.678269847509236
300.2687552981522770.5375105963045540.731244701847723
310.3482603961228670.6965207922457340.651739603877133
320.3906217184295830.7812434368591650.609378281570417
330.3398600644390770.6797201288781540.660139935560923
340.3945152202145140.7890304404290270.605484779785486
350.3929607553079260.7859215106158510.607039244692074
360.3993333641644590.7986667283289170.600666635835541
370.5923509832940070.8152980334119850.407649016705992
380.7855503139208660.4288993721582680.214449686079134
390.7808773361423340.4382453277153320.219122663857666
400.741294235609460.517411528781080.25870576439054
410.7155083561001450.5689832877997090.284491643899855
420.6671625668750030.6656748662499950.332837433124998
430.6192170349781550.761565930043690.380782965021845
440.6042043890069280.7915912219861450.395795610993072
450.5670880008136830.8658239983726350.432911999186317
460.5884240629378820.8231518741242360.411575937062118
470.5477308275949520.9045383448100960.452269172405048
480.5354011631720050.929197673655990.464598836827995
490.6018615143629170.7962769712741660.398138485637083
500.5800826434130990.8398347131738020.419917356586901
510.5427172779294130.9145654441411740.457282722070587
520.4928461706229250.985692341245850.507153829377075
530.4522226625462960.9044453250925910.547777337453704
540.404516829329890.8090336586597790.59548317067011
550.3594111897146110.7188223794292210.640588810285389
560.3325338025718940.6650676051437880.667466197428106
570.2886012291772870.5772024583545750.711398770822713
580.2633046101546980.5266092203093970.736695389845302
590.2449431823467790.4898863646935570.755056817653221
600.3030652443271510.6061304886543030.696934755672849
610.2893694471814780.5787388943629560.710630552818522
620.2511159292150770.5022318584301540.748884070784923
630.2371279442208280.4742558884416550.762872055779172
640.2663268627067890.5326537254135780.733673137293211
650.3511742427525470.7023484855050940.648825757247453
660.3493839107683050.698767821536610.650616089231695
670.6835803405074810.6328393189850390.316419659492519
680.6787796302316370.6424407395367260.321220369768363
690.849018383732480.3019632325350410.15098161626752
700.8290295950894710.3419408098210570.170970404910529
710.9334882820124620.1330234359750750.0665117179875376
720.9172086169357370.1655827661285250.0827913830642627
730.9373879325600460.1252241348799070.0626120674399537
740.9246381546894060.1507236906211880.0753618453105941
750.9240194998811520.1519610002376950.0759805001188476
760.915891996427760.168216007144480.0841080035722401
770.9670983795705350.06580324085893020.0329016204294651
780.9590483740827390.08190325183452150.0409516259172607
790.9506572679738820.0986854640522370.0493427320261185
800.9541605666398510.09167886672029770.0458394333601489
810.9454610354799970.1090779290400060.0545389645200029
820.9451310422199390.1097379155601220.0548689577800612
830.9307736687138930.1384526625722140.0692263312861071
840.9166289736848190.1667420526303620.0833710263151811
850.9079566407467610.1840867185064770.0920433592532386
860.8918591864664870.2162816270670270.108140813533513
870.8694109743602940.2611780512794130.130589025639706
880.9148847233837830.1702305532324340.0851152766162169
890.897160906664860.205678186670280.10283909333514
900.8764856064129210.2470287871741590.123514393587079
910.8786052570358010.2427894859283980.121394742964199
920.8668757682637790.2662484634724420.133124231736221
930.8435961135248080.3128077729503840.156403886475192
940.815473334878340.3690533302433210.18452666512166
950.7814914941078070.4370170117843860.218508505892193
960.7520793237855770.4958413524288460.247920676214423
970.7700687922926510.4598624154146980.229931207707349
980.7643692980002780.4712614039994440.235630701999722
990.7277406921975480.5445186156049040.272259307802452
1000.7028316813352580.5943366373294850.297168318664742
1010.6593776252388870.6812447495222260.340622374761113
1020.619574691481440.7608506170371210.38042530851856
1030.5809601512371740.8380796975256530.419039848762826
1040.5379894837899110.9240210324201780.462010516210089
1050.4917965545786560.9835931091573120.508203445421344
1060.4734542948855870.9469085897711750.526545705114413
1070.4707127620936070.9414255241872150.529287237906393
1080.4828219480877380.9656438961754760.517178051912262
1090.4323073899086030.8646147798172060.567692610091397
1100.4082286197471990.8164572394943990.591771380252801
1110.3686419823089450.737283964617890.631358017691055
1120.59692555474990.8061488905001990.4030744452501
1130.584118031810280.831763936379440.41588196818972
1140.5526226430355360.8947547139289290.447377356964464
1150.792882714612480.414234570775040.20711728538752
1160.7659736419846610.4680527160306790.234026358015339
1170.7516251179071930.4967497641856140.248374882092807
1180.7207752637033170.5584494725933650.279224736296682
1190.6733035518547250.653392896290550.326696448145275
1200.7024071138004980.5951857723990040.297592886199502
1210.7541832744492820.4916334511014370.245816725550718
1220.7447946124739080.5104107750521840.255205387526092
1230.7467047019331190.5065905961337620.253295298066881
1240.6957364185148330.6085271629703340.304263581485167
1250.785352761275880.429294477448240.21464723872412
1260.7473968292932610.5052063414134780.252603170706739
1270.7861709263383920.4276581473232160.213829073661608
1280.7564203986220960.4871592027558080.243579601377904
1290.7210571907148390.5578856185703220.278942809285161
1300.7812730453778020.4374539092443970.218726954622198
1310.730601277758280.5387974444834410.26939872224172
1320.6708555137925570.6582889724148860.329144486207443
1330.6535776243338450.6928447513323090.346422375666155
1340.5854589351169870.8290821297660270.414541064883014
1350.5282903907091530.9434192185816950.471709609290847
1360.585709116195080.8285817676098410.41429088380492
1370.5501684021514430.8996631956971150.449831597848557
1380.5549610841265320.8900778317469370.445038915873468
1390.4744029772708540.9488059545417080.525597022729146
1400.3945607704880170.7891215409760330.605439229511983
1410.540144050850720.9197118982985590.45985594914928
1420.4590163229245550.918032645849110.540983677075445
1430.3765801013605710.7531602027211410.623419898639429
1440.2867526795669460.5735053591338910.713247320433054
1450.303984197027430.6079683940548610.69601580297257
1460.2140078427565450.4280156855130910.785992157243455
1470.3294294428760140.6588588857520290.670570557123986
1480.2347005543942780.4694011087885560.765299445605722
1490.6093567596400630.7812864807198730.390643240359937


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 level50.0357142857142857OK