Multiple Linear Regression - Estimated Regression Equation
ConcMistakes[t] = -1.52488923013411 -0.599776425471935Gender[t] + 0.812146509740823DoubtsActions[t] + 0.258421861231518ParExp[t] + 0.179796229544161ParCrit[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)-1.524889230134113.115376-0.48950.6252130.312607
Gender-0.5997764254719350.803715-0.74630.4566660.228333
DoubtsActions0.8121465097408230.1305526.220900
ParExp0.2584218612315180.1332991.93870.0543950.027198
ParCrit0.1797962295441610.1689081.06450.2888060.144403
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
12425.3674713868655-1.36747138686548
22522.08664764638172.91335235361827
31723.1955619828947-6.19556198289475
41819.6954852711489-1.69548527114887
51819.2934117319808-1.29341173198077
61619.4069284768994-3.40692847689944
72020.7589904748235-0.758990474823462
81622.1639181031645-6.1639181031645
91822.2699711701797-4.26997117017974
101720.3748373668623-3.37483736686228
112322.74516218791690.254837812083117
123022.78097723083567.21902276916444
132314.92749990525548.07250009474464
141818.9270333019304-0.927033301930446
151521.5094110329846-6.50941103298455
161217.7007097310610-5.70070973106096
172119.81495070195151.18504929804848
181515.1559582544423-0.155958254442304
192019.65033667131270.349663328687277
203126.86578360679554.13421639320452
212725.65268810851141.34731189148859
223427.02245604763796.97754395236206
232119.42195109766821.57804890233179
243120.756645283431110.2433547165689
251919.1293017221016-0.129301722101627
261620.6559948406093-4.65599484060933
272021.4552422506445-1.45524225064449
282118.09898917361772.90101082638235
292221.80503817485660.194961825143426
301719.3641178881308-2.36411788813078
312420.14126568525893.85873431474111
322530.8764051306377-5.87640513063773
332627.2180233678308-1.21802336783078
342523.87443905560151.12556094439852
351722.8568298063824-5.8568298063824
363227.61203191714374.38796808285626
373323.44863988743019.5513601125699
381321.9103787110914-8.91037871109142
393227.66536052551954.33463947448045
402525.6638628360616-0.663862836061554
412926.88284801913442.1171519808656
422221.85132745959290.148672540407081
431817.23834681111270.7616531888873
441721.6489862638793-4.64898626387931
452022.6128997275348-2.61289972753483
461520.2868033764848-5.28680337648484
472022.0348068058981-2.03480680589807
483327.90737468235525.09262531764484
492922.56661044279856.43338955720152
502326.5579698959982-3.55796989599820
512623.66996715849992.33003284150007
521818.7870370972407-0.787037097240736
532019.17535349906430.824646500935741
541111.6230304916359-0.623030491635949
552828.7621782677923-0.762178267792335
562623.14943025006482.85056974993515
572222.669269923808-0.669269923808007
581720.0517776355677-3.0517776355677
591215.8538857599063-3.85388575990632
601420.8973540189012-6.89735401890124
611720.5411139668356-3.54111396683557
622121.1874120307229-0.187412030722898
631922.7894496147904-3.78944961479037
641822.8711309424203-4.87113094242026
651018.3900018497382-8.3900018497382
662924.63707205257634.36292794742370
673118.279601733467812.7203982665322
681923.3693885717829-4.36938857178287
69919.9178025587064-10.9178025587064
702022.2903219027409-2.29032190274092
712817.462198113851310.5378018861487
721918.54687009102140.453129908978576
733023.49043661605276.50956338394726
742927.59099683312541.40900316687457
752621.93990029456904.06009970543103
762319.98118216989653.01881783010349
771322.6314806665406-9.63148066654058
782122.4832495856698-1.48324958566978
791921.2573070106616-2.25730701066161
802822.79292831075805.20707168924197
812325.3729608504198-2.37296085041982
821813.60940691489434.3905930851057
832121.1856456618628-0.185645661862829
842021.6207025203118-1.62070252031183
852319.80307235334513.19692764665485
862120.70208832490490.297911675095087
872121.6170380931145-0.617038093114464
881522.6231781689117-7.62317816891174
892826.94497625494551.05502374505455
901917.51221049328231.48778950671773
912621.11208133961044.88791866038963
921013.0189051398643-3.01890513986429
931617.5590386226172-1.55903862261723
942221.03846326497700.96153673502297
951918.54285255045510.457147449544854
963128.60839159234012.39160840765988
973125.65336066135825.34663933864183
982924.65069436641224.34930563358783
991917.86297341621281.13702658378724
1002218.74379835435233.25620164564774
1012322.20566280880560.794337191194412
1021516.6220171743863-1.62201717438634
1032021.9131730556020-1.91317305560195
1041819.3399853933777-1.33998539337772
1052321.81021532886501.18978467113505
1062520.83349250121054.16650749878949
1072116.39468028472684.60531971527317
1082419.3148508370894.68514916291101
1092525.0709120701137-0.07091207011366
1101719.4547342883026-2.45473428830264
1111314.4287552152974-1.42875521529741
1122818.03836392900459.96163607099552
1132120.48866266569780.511337334302223
1142527.9423547054043-2.94235470540426
115921.0762576763391-12.0762576763391
1161617.6939237600990-1.69392376009895
1171921.046422718448-2.04642271844802
1181719.2889309744774-2.28893097447745
1192524.36596446638290.634035533617054
1202015.41969589304674.58030410695327
1212921.445937691487.55406230852002
1221418.8999489107604-4.89994891076042
1232226.7321259935752-4.73212599357521
1241515.3865155722756-0.386515572275641
1251925.8655570594453-6.86555705944527
1262021.8185578044274-1.81855780442744
1271517.9017713795316-2.90177137953155
1282021.6120705139941-1.61207051399408
1291820.0655867958938-2.06558679589383
1303325.28989443916287.71010556083723
1312223.5892499774693-1.58924997746931
1321616.3167272058862-0.316727205886227
1331718.8852557986806-1.88525579868057
1341614.90615944557801.09384055442196
1352117.49841337800413.50158662199594
1362628.1082687097083-2.10826870970826
1371821.0102381889068-3.01023818890681
1381822.927996914261-4.92799691426099
1391718.1546868170441-1.15468681704407
1402224.5338027250514-2.53380272505139
1413024.52975012166795.47024987833214
1423027.6934119154082.30658808459201
1432429.7180440769175-5.71804407691749
1442121.8284181608956-0.828418160895604
1452125.2236239084878-4.22362390848779
1462927.23284638830291.76715361169706
1473123.08706656947737.91293343052267
1482018.80929253265491.19070746734509
1491614.63844887008581.36155112991425
1502219.34844371351372.65155628648632
1512020.1300202451636-0.130020245163564
1522827.19514913195070.804850868049288
1533826.486802788119611.5131972118804
1542219.79921935025822.2007806497418
1552025.5275587020833-5.52755870208333
1561718.5047320550995-1.50473205509950
1572824.27874680631153.72125319368852
1582223.9638509492812-1.96385094928121
1593126.52710345326474.47289654673532


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.08444205002012230.1688841000402450.915557949979878
110.04647527809209310.09295055618418610.953524721907907
120.1302788762902440.2605577525804870.869721123709757
130.08449614378396820.1689922875679360.915503856216032
140.129771754078390.259543508156780.87022824592161
150.08379025200704850.1675805040140970.916209747992951
160.06163554051475090.1232710810295020.93836445948525
170.08234060909972840.1646812181994570.917659390900272
180.1034310295336430.2068620590672860.896568970466357
190.09895158969193890.1979031793838780.901048410308061
200.1352331782480440.2704663564960870.864766821751956
210.09646720424427250.1929344084885450.903532795755728
220.2737744566577810.5475489133155620.726225543342219
230.2136506452333840.4273012904667680.786349354766616
240.5176511664818890.9646976670362220.482348833518111
250.4443088846923890.8886177693847770.555691115307611
260.4717275156773120.9434550313546230.528272484322688
270.4155779062595930.8311558125191860.584422093740407
280.3725666406401890.7451332812803780.627433359359811
290.3217301524907640.6434603049815270.678269847509236
300.2687552981522770.5375105963045540.731244701847723
310.3482603961228680.6965207922457360.651739603877132
320.3906217184295830.7812434368591650.609378281570417
330.3398600644390770.6797201288781540.660139935560923
340.3945152202145130.7890304404290250.605484779785487
350.3929607553079250.785921510615850.607039244692075
360.3993333641644590.7986667283289170.600666635835541
370.5923509832940090.8152980334119830.407649016705991
380.7855503139208670.4288993721582660.214449686079133
390.7808773361423350.4382453277153300.219122663857665
400.741294235609460.5174115287810790.258705764390540
410.7155083561001450.5689832877997090.284491643899855
420.6671625668750020.6656748662499950.332837433124998
430.6192170349781560.7615659300436870.380782965021844
440.6042043890069260.7915912219861470.395795610993074
450.5670880008136840.8658239983726320.432911999186316
460.5884240629378820.8231518741242360.411575937062118
470.5477308275949510.9045383448100970.452269172405049
480.5354011631720060.9291976736559870.464598836827994
490.6018615143629180.7962769712741650.398138485637082
500.5800826434130970.8398347131738070.419917356586903
510.5427172779294120.9145654441411760.457282722070588
520.4928461706229250.9856923412458510.507153829377075
530.4522226625462950.904445325092590.547777337453705
540.404516829329890.809033658659780.59548317067011
550.3594111897146110.7188223794292220.640588810285389
560.3325338025718930.6650676051437870.667466197428107
570.2886012291772870.5772024583545740.711398770822713
580.2633046101546980.5266092203093960.736695389845302
590.2449431823467790.4898863646935570.755056817653221
600.3030652443271510.6061304886543020.696934755672849
610.2893694471814770.5787388943629550.710630552818523
620.2511159292150760.5022318584301510.748884070784924
630.2371279442208290.4742558884416570.762872055779171
640.2663268627067880.5326537254135760.733673137293212
650.3511742427525460.7023484855050920.648825757247454
660.3493839107683090.6987678215366180.650616089231691
670.683580340507480.6328393189850390.316419659492520
680.6787796302316370.6424407395367260.321220369768363
690.8490183837324790.3019632325350420.150981616267521
700.8290295950894690.3419408098210630.170970404910531
710.9334882820124630.1330234359750750.0665117179875374
720.9172086169357370.1655827661285270.0827913830642634
730.9373879325600460.1252241348799080.0626120674399539
740.9246381546894060.1507236906211880.0753618453105942
750.9240194998811520.1519610002376950.0759805001188476
760.915891996427760.1682160071444800.0841080035722399
770.9670983795705350.06580324085893090.0329016204294654
780.959048374082740.0819032518345220.040951625917261
790.9506572679738820.09868546405223640.0493427320261182
800.9541605666398510.09167886672029770.0458394333601489
810.9454610354799970.1090779290400060.0545389645200029
820.9451310422199380.1097379155601230.0548689577800616
830.9307736687138930.1384526625722150.0692263312861075
840.916628973684820.1667420526303610.0833710263151805
850.9079566407467610.1840867185064790.0920433592532394
860.8918591864664880.2162816270670240.108140813533512
870.8694109743602930.2611780512794140.130589025639707
880.9148847233837830.1702305532324340.0851152766162169
890.897160906664860.205678186670280.10283909333514
900.8764856064129210.2470287871741590.123514393587079
910.8786052570358020.2427894859283970.121394742964198
920.8668757682637790.2662484634724420.133124231736221
930.8435961135248080.3128077729503840.156403886475192
940.815473334878340.369053330243320.18452666512166
950.7814914941078070.4370170117843860.218508505892193
960.7520793237855780.4958413524288430.247920676214422
970.7700687922926510.4598624154146970.229931207707349
980.7643692980002790.4712614039994430.235630701999721
990.7277406921975490.5445186156049020.272259307802451
1000.7028316813352580.5943366373294850.297168318664742
1010.6593776252388860.6812447495222280.340622374761114
1020.619574691481440.760850617037120.38042530851856
1030.5809601512371740.8380796975256520.419039848762826
1040.537989483789910.924021032420180.46201051621009
1050.4917965545786560.9835931091573130.508203445421344
1060.4734542948855890.9469085897711780.526545705114411
1070.4707127620936080.9414255241872150.529287237906392
1080.482821948087740.965643896175480.51717805191226
1090.4323073899086050.864614779817210.567692610091395
1100.4082286197471990.8164572394943980.591771380252801
1110.3686419823089440.7372839646178880.631358017691056
1120.59692555474990.80614889050020.4030744452501
1130.5841180318102790.8317639363794410.415881968189721
1140.5526226430355360.8947547139289280.447377356964464
1150.792882714612480.414234570775040.20711728538752
1160.7659736419846610.4680527160306770.234026358015339
1170.7516251179071930.4967497641856140.248374882092807
1180.7207752637033180.5584494725933640.279224736296682
1190.6733035518547240.6533928962905520.326696448145276
1200.7024071138004990.5951857723990030.297592886199501
1210.7541832744492820.4916334511014360.245816725550718
1220.7447946124739080.5104107750521840.255205387526092
1230.7467047019331190.5065905961337630.253295298066882
1240.6957364185148350.608527162970330.304263581485165
1250.7853527612758810.4292944774482380.214647238724119
1260.7473968292932610.5052063414134770.252603170706739
1270.7861709263383920.4276581473232160.213829073661608
1280.7564203986220960.4871592027558080.243579601377904
1290.7210571907148390.5578856185703220.278942809285161
1300.7812730453778020.4374539092443960.218726954622198
1310.730601277758280.538797444483440.26939872224172
1320.6708555137925570.6582889724148860.329144486207443
1330.6535776243338450.692844751332310.346422375666155
1340.5854589351169860.8290821297660280.414541064883014
1350.5282903907091520.9434192185816960.471709609290848
1360.585709116195080.828581767609840.41429088380492
1370.550168402151440.899663195697120.44983159784856
1380.5549610841265330.8900778317469330.445038915873467
1390.4744029772708530.9488059545417050.525597022729147
1400.3945607704880160.7891215409760320.605439229511984
1410.540144050850720.9197118982985610.459855949149280
1420.4590163229245540.9180326458491090.540983677075446
1430.376580101360570.753160202721140.62341989863943
1440.2867526795669450.5735053591338910.713247320433055
1450.303984197027430.607968394054860.69601580297257
1460.2140078427565460.4280156855130910.785992157243455
1470.3294294428760150.658858885752030.670570557123985
1480.2347005543942780.4694011087885560.765299445605722
1490.6093567596400630.7812864807198740.390643240359937


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