Multiple Linear Regression - Estimated Regression Equation
Gender[t] = + 0.597949944197336 + 0.00437351222682402Concern_mistakes[t] -0.0173002748928004Doubts_actions[t] + 0.0141160678171409Parental_expectations[t] + 0.006185694746909Parental_criticism[t] + 0.0199299315322437Personal_standards[t] -0.0432498272067169Organization[t] + 0.0262634935492487PLC[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.5979499441973360.4115351.4530.1485340.074267
Concern_mistakes0.004373512226824020.0085980.50860.6118230.305912
Doubts_actions-0.01730027489280040.016643-1.03950.3004080.150204
Parental_expectations0.01411606781714090.0141810.99540.3212870.160643
Parental_criticism0.0061856947469090.0177730.3480.7283490.364174
Personal_standards0.01992993153224370.0114921.73420.0851520.042576
Organization-0.04324982720671690.011566-3.73940.0002710.000135
PLC0.02626349354924870.0186691.40680.1617580.080879


Multiple Linear Regression - Regression Statistics
Multiple R0.424855834673263
R-squared0.180502480255915
Adjusted R-squared0.138322460857322
F-TEST (value)4.27933611291648
F-TEST (DF numerator)7
F-TEST (DF denominator)136
p-value0.000264199339875648
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.455533348009159
Sum Squared Residuals28.2214458361869


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.5632419980765280.436758001923472
210.6590412325700460.340958767429954
310.7815589132825270.218441086717473
400.439916355940984-0.439916355940984
510.727032657973690.272967342026310
610.721472224587610.27852777541239
711.10485343486693-0.104853434866925
810.4844281245361340.515571875463866
910.66295211355550.3370478864445
1010.6450043410336080.354995658966392
1100.222238280464825-0.222238280464825
1210.6713004548987940.328699545101206
1300.464254218280553-0.464254218280553
1410.8210883696998260.178911630300174
1500.182645006599913-0.182645006599913
1600.697517811206787-0.697517811206787
1710.9697240080658760.0302759919341237
1801.25014989567502-1.25014989567502
1910.6575165946124220.342483405387578
2000.437596800885716-0.437596800885716
2110.667791398729720.33220860127028
2210.683941951907320.316058048092680
2300.46568691242771-0.46568691242771
2410.7439597929274380.256040207072562
2500.605120031224526-0.605120031224526
2610.9584832116401040.0415167883598956
2700.481633117111356-0.481633117111356
2811.26457063289594-0.264570632895941
2900.401325206953173-0.401325206953173
3010.6024575172605480.397542482739452
3110.5396871092650280.460312890734972
3200.488070680931322-0.488070680931322
3300.244536344590455-0.244536344590455
3400.213207489656181-0.213207489656181
3500.411327684760868-0.411327684760868
3610.4121630443486710.587836955651329
3700.543505142613647-0.543505142613647
3800.447521284271863-0.447521284271863
3910.6418485938692770.358151406130723
4000.670097648160253-0.670097648160253
4110.7795626618780740.220437338121926
4210.312339580804590.68766041919541
4310.7961959038354850.203804096164515
4410.6011485928652780.398851407134722
4500.594184779725823-0.594184779725823
4610.8129485477323150.187051452267685
4700.427491112264492-0.427491112264492
4800.703362344690401-0.703362344690401
4910.452421556519720.54757844348028
5000.726305289335162-0.726305289335162
5110.8901877933991890.109812206600811
5210.6620170933251410.337982906674859
5310.5619504675351030.438049532464897
5400.582481678983905-0.582481678983905
5510.7104849363648890.289515063635111
5600.255725157830062-0.255725157830062
5700.650969543247306-0.650969543247306
5810.3120454694351210.68795453056488
5910.7057792663129450.294220733687055
6010.9427740667148470.0572259332851525
6100.459264310678517-0.459264310678517
6210.7638938383968060.236106161603194
6300.340975934073361-0.340975934073361
6410.4569287654085430.543071234591457
6500.558949817939918-0.558949817939918
6600.150740781722405-0.150740781722405
6710.5873801474123930.412619852587607
6810.4370568382050210.562943161794979
6900.353091636185009-0.353091636185009
7000.597952402737545-0.597952402737545
7110.5296554697081480.470344530291852
7210.7586938704643130.241306129535687
7300.664098903192731-0.664098903192731
7400.780016463815995-0.780016463815995
7500.398280480114844-0.398280480114844
7600.518530994510164-0.518530994510164
7710.7694938919010170.230506108098983
7800.723582245908354-0.723582245908354
7910.4476547215147740.552345278485226
8010.4712155691047750.528784430895225
8100.414992418804905-0.414992418804905
8210.3938264837685170.606173516231483
8310.5015303281524740.498469671847526
8410.7441824686528830.255817531347117
8510.5370979738029830.462902026197017
8610.7238000013671210.276199998632879
8710.6710372261401110.328962773859889
8810.6971008961665230.302899103833477
8910.4663041518809090.533695848119091
9010.637544679731790.362455320268210
9100.620567465586434-0.620567465586434
9200.587068923098296-0.587068923098296
9310.579484931913750.420515068086249
9400.817833910378806-0.817833910378806
9510.8202543284646190.179745671535381
9600.277061828745541-0.277061828745541
9710.6952955799981290.304704420001871
9800.650094385662007-0.650094385662007
9910.3653786707808040.634621329219196
10000.684208630877617-0.684208630877617
10111.2244021243924-0.224402124392400
10210.763697496361030.236302503638970
10310.8853743755565750.114625624443425
10410.9964517165229520.00354828347704763
10500.307060546042081-0.307060546042081
10610.5940632160842990.405936783915701
10700.509438199494678-0.509438199494678
10810.5081695230592860.491830476940714
10910.5975128091583340.402487190841666
11010.5133741440794330.486625855920567
11110.7690648942526390.230935105747361
11210.6827759651794480.317224034820552
11310.8913902623931370.108609737606863
11410.6232517580985380.376748241901462
11500.559710125442704-0.559710125442704
11610.3499253248363560.650074675163644
11700.432762613857539-0.432762613857539
11810.5379959167017220.462004083298278
11910.735900687724240.264099312275760
12010.6435422919177780.356457708082222
12100.399874907176162-0.399874907176162
12200.0737521932105159-0.0737521932105159
12310.6788637496902440.321136250309756
12400.518987979009612-0.518987979009612
12510.6484301541808190.351569845819181
12600.483782758550231-0.483782758550231
12700.602310815441038-0.602310815441038
12810.6830309567644370.316969043235563
12910.7245997768145060.275400223185494
13000.34306676049017-0.34306676049017
13100.211776615261537-0.211776615261537
13210.5712043845026370.428795615497363
13300.549466299914101-0.549466299914101
13410.6842567283944370.315743271605563
13511.10561751359219-0.105617513592191
13600.420154639207281-0.420154639207281
13710.8491895834971660.150810416502834
13800.605120031224526-0.605120031224526
13910.5561651419453240.443834858054676
14010.5853096132303410.414690386769659
14110.7714165061976610.228583493802339
14210.7441824686528830.255817531347117
14310.735900687724240.264099312275760
14410.5447099020453850.455290097954615


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.1529731219688940.3059462439377890.847026878031106
120.08668853537566630.1733770707513330.913311464624334
130.09559979562839770.1911995912567950.904400204371602
140.1056229649749020.2112459299498030.894377035025098
150.05860418837693780.1172083767538760.941395811623062
160.4888182732308760.9776365464617520.511181726769124
170.3905457667521230.7810915335042460.609454233247877
180.6559938259928730.6880123480142540.344006174007127
190.5842923860506630.8314152278986740.415707613949337
200.5757178299719580.8485643400560840.424282170028042
210.4976709900926520.9953419801853040.502329009907348
220.6482734674881430.7034530650237130.351726532511857
230.6173779447850540.7652441104298930.382622055214946
240.5467704509676740.9064590980646530.453229549032326
250.6241141810402790.7517716379194430.375885818959721
260.5540619486962980.8918761026074040.445938051303702
270.5401511307326970.9196977385346060.459848869267303
280.5480693625424320.9038612749151360.451930637457568
290.5021724223183140.9956551553633720.497827577681686
300.4782542193070620.9565084386141250.521745780692938
310.4484012870592770.8968025741185530.551598712940723
320.4662364488440210.9324728976880430.533763551155979
330.4235007136920240.8470014273840480.576499286307976
340.4041363169760680.8082726339521360.595863683023932
350.3847184340985150.769436868197030.615281565901485
360.3918844209533050.783768841906610.608115579046695
370.4167869938740580.8335739877481170.583213006125942
380.4040885054948210.8081770109896420.595911494505179
390.3721539471114710.7443078942229420.627846052888529
400.4920791964482880.9841583928965760.507920803551712
410.4606410919521050.921282183904210.539358908047895
420.5840562208260280.8318875583479430.415943779173972
430.5487545615808880.9024908768382250.451245438419113
440.53501749981940.92996500036120.4649825001806
450.5717409925654010.8565180148691990.428259007434599
460.5266340409982260.9467319180035470.473365959001774
470.5279382623003660.9441234753992690.472061737699634
480.5923868938288910.8152262123422180.407613106171109
490.631362682174470.737274635651060.36863731782553
500.6773701189596430.6452597620807150.322629881040357
510.6341273807683160.7317452384633690.365872619231685
520.6036891671760390.7926216656479230.396310832823961
530.605505409350260.788989181299480.39449459064974
540.6303731865765550.7392536268468890.369626813423445
550.5973550336952260.8052899326095490.402644966304774
560.5608791392024290.8782417215951420.439120860797571
570.597820251603770.8043594967924590.402179748396229
580.6596445430771120.6807109138457760.340355456922888
590.6242352426277040.7515295147445920.375764757372296
600.5752089885156720.8495820229686560.424791011484328
610.6012312331579140.7975375336841710.398768766842086
620.5647459768579380.8705080462841230.435254023142062
630.5434494078248720.9131011843502570.456550592175128
640.5562235500623210.8875528998753580.443776449937679
650.5765350980990190.8469298038019620.423464901900981
660.53912894905580.92174210188840.4608710509442
670.5418434031647990.9163131936704010.458156596835201
680.5653058361739940.8693883276520120.434694163826006
690.546083767413330.907832465173340.45391623258667
700.5812164247453670.8375671505092670.418783575254633
710.5802495850781830.8395008298436330.419750414921817
720.5453990815088920.9092018369822170.454600918491108
730.602093577305160.7958128453896810.397906422694841
740.6906854985638470.6186290028723050.309314501436153
750.6812962325533330.6374075348933350.318703767446667
760.6999382383827260.6001235232345490.300061761617274
770.6657345125746470.6685309748507060.334265487425353
780.729325352238850.54134929552230.27067464776115
790.7426747414103620.5146505171792760.257325258589638
800.753660112918480.4926797741630410.246339887081520
810.7485593994124180.5028812011751650.251440600587582
820.7760236565312930.4479526869374140.223976343468707
830.7833033304896440.4333933390207110.216696669510356
840.7600342039087630.4799315921824740.239965796091237
850.7532026707717720.4935946584564570.246797329228228
860.7240266407596720.5519467184806550.275973359240328
870.704759945298620.5904801094027590.295240054701379
880.6851102529292420.6297794941415160.314889747070758
890.7060208396188930.5879583207622140.293979160381107
900.6921268786856450.615746242628710.307873121314355
910.7685591850096430.4628816299807150.231440814990357
920.7949088271662760.4101823456674480.205091172833724
930.8118155933039610.3763688133920770.188184406696039
940.862375989096180.2752480218076410.137624010903821
950.834424633510580.3311507329788410.165575366489421
960.813622237148720.3727555257025610.186377762851281
970.7944117866450430.4111764267099150.205588213354957
980.8425508880656170.3148982238687660.157449111934383
990.8781840474689980.2436319050620050.121815952531002
1000.9409640697713250.1180718604573510.0590359302286753
1010.9309357834520050.1381284330959900.0690642165479951
1020.9158712304544510.1682575390910980.0841287695455489
1030.8925874474819880.2148251050360240.107412552518012
1040.8743866906394620.2512266187210750.125613309360538
1050.847173861840630.3056522763187390.152826138159370
1060.8396340192335670.3207319615328660.160365980766433
1070.8449338008381740.3101323983236520.155066199161826
1080.8369865744934350.3260268510131290.163013425506565
1090.8376167303579920.3247665392840160.162383269642008
1100.8748150108117150.2503699783765700.125184989188285
1110.8402657356668370.3194685286663250.159734264333163
1120.8180669321624710.3638661356750580.181933067837529
1130.7832037597469620.4335924805060760.216796240253038
1140.748183576317140.5036328473657210.251816423682861
1150.8099453944712110.3801092110575780.190054605528789
1160.8914160857127680.2171678285744650.108583914287232
1170.8618267818027360.2763464363945290.138173218197264
1180.8926671559987930.2146656880024150.107332844001207
1190.85695943632530.28608112734940.1430405636747
1200.8770195100798850.2459609798402300.122980489920115
1210.8372019157533480.3255961684933040.162798084246652
1220.7941851803809430.4116296392381150.205814819619057
1230.7886207906917470.4227584186165070.211379209308253
1240.760545112598260.4789097748034790.239454887401740
1250.6870178471316260.6259643057367470.312982152868374
1260.6506232293315490.6987535413369010.349376770668451
1270.6613534643057420.6772930713885160.338646535694258
1280.6215044920925290.7569910158149420.378495507907471
1290.5125377333319650.974924533336070.487462266668035
1300.4389633151270230.8779266302540470.561036684872977
1310.3463554728918200.6927109457836390.65364452710818
1320.3027526256360180.6055052512720370.697247374363982
1330.5416877056882980.9166245886234030.458312294311702


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 level00OK