Multiple Linear Regression - Estimated Regression Equation
Personal-Standards[t] = + 6.85249471188449 + 0.334156412849869`Concern(Mistakes)`[t] -0.370092394686342`Doubts(actions)`[t] + 0.159316471007100`Parental-Expectations`[t] + 0.0649584207606242`Parental-Criticism`[t] + 0.40340194756281Organization[t] -0.112988112395837M1[t] + 0.301657650441828M2[t] + 0.663745180491901M3[t] + 0.151960848781341M4[t] + 0.372819591437056M5[t] + 1.02662475283370M6[t] + 0.417404861828108M7[t] + 1.66380986838678M8[t] + 1.41001962150359M9[t] + 0.924259509685394M10[t] -0.535671626926259M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6.852494711884492.4787742.76450.0064590.003229
`Concern(Mistakes)`0.3341564128498690.0596925.59800
`Doubts(actions)`-0.3700923946863420.116287-3.18260.0017930.000897
`Parental-Expectations`0.1593164710071000.1066281.49410.1373590.068679
`Parental-Criticism`0.06495842076062420.1394340.46590.6420210.32101
Organization0.403401947562810.0761395.298200
M1-0.1129881123958371.367893-0.08260.9342860.467143
M20.3016576504418281.3698780.22020.8260260.413013
M30.6637451804919011.3623930.48720.6268740.313437
M40.1519608487813411.4045630.10820.9139970.456999
M50.3728195914370561.3995610.26640.7903310.395165
M61.026624752833701.4018810.73230.4651810.23259
M70.4174048618281081.4234880.29320.7697770.384888
M81.663809868386781.3974531.19060.2357970.117898
M91.410019621503591.3821361.02020.3093810.15469
M100.9242595096853941.3717390.67380.5015420.250771
M11-0.5356716269262591.422233-0.37660.7070020.353501


Multiple Linear Regression - Regression Statistics
Multiple R0.622661478001645
R-squared0.387707316187193
Adjusted R-squared0.318716591250539
F-TEST (value)5.61970201854202
F-TEST (DF numerator)16
F-TEST (DF denominator)142
p-value3.06102809766173e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.48067319339608
Sum Squared Residuals1720.34219485010


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12422.59839984911521.40160015088476
22522.35017379910262.64982620089742
33024.28944060498205.71055939501796
41919.9692391258280-0.969239125827973
52220.44045101975261.55954898024735
62223.5898612001837-1.58986120018373
72522.34946743703742.65053256296262
82320.73025555258342.26974444741663
91719.5972008934956-2.59720089349562
102121.9972686559548-0.997268655954795
111921.8827978343171-2.88279783431708
121922.8959611609948-3.89596116099485
131522.7412731726110-7.74127317261105
141616.8917203469860-0.891720346985974
152319.60456113711963.39543886288044
162723.47879821602663.52120178397345
172220.99828039815741.00171960184259
181417.0436984178923-3.04369841789228
192223.8370243671717-1.83702436717173
202325.1848214397522-2.18482143975215
212322.54189942678210.458100573217885
222124.8668720012348-3.86687200123479
231921.5496071654349-2.54960716543491
241823.4211268547222-5.42112685472224
252022.5848651810082-2.58486518100816
262322.19593540389300.804064596106974
272523.32968092837441.67031907162564
281923.0282953297813-4.02829532978134
292423.65785795074540.342142049254590
302221.96805637258950.0319436274104627
312525.1109847781951-0.110984778195149
322624.53741453834171.46258546165828
332923.33328836399645.66671163600362
343225.62148067180576.37851932819433
352520.43109724401424.56890275598577
362923.93607100835955.0639289916405
372824.3940934919943.60590650800599
381716.68814001666330.311859983336738
392826.29017674097321.70982325902682
402922.56200853703066.43799146296938
412627.3538958629773-1.35389586297727
422523.99303017012791.00696982987215
431419.3510385979061-5.35103859790606
442523.01823248040331.98176751959671
452622.63579551362263.36420448637735
462020.7051889143151-0.70518891431514
471820.3803193595599-2.38031935955988
483224.20360831545647.79639168454357
492524.43882843738620.561171562613768
502521.29298618352863.70701381647143
512321.02089109107691.97910890892308
522121.801551199464-0.801551199464008
532023.9342381633844-3.93423816338436
541517.0044493080387-2.00444930803873
553026.85634264665733.14365735334275
562426.5232916809371-2.52329168093708
572625.23634907158780.763650928412177
582421.99169804757192.00830195242813
592220.40635678820311.59364321179687
601415.0245112216698-1.02451122166975
612421.67080619376042.3291938062396
622422.61302447447361.38697552552639
632423.40449707147020.595502928529774
642419.74887415745094.25112584254914
651918.22147256378260.778527436217351
663127.35933786556593.64066213443408
672226.6218045032383-4.62180450323831
682722.59666726023804.40333273976202
691918.52668484181940.473315158180565
702522.74606337325082.25393662674917
712023.9538129310552-3.95381293105519
722121.0374369821878-0.0374369821878016
732726.89619092139280.103809078607203
742324.1537863151167-1.15378631511666
752525.7380213530364-0.738021353036376
762021.8920350263386-1.89203502633858
772118.93396748148732.06603251851267
782222.9519985207818-0.951998520781768
792322.98925123710150.0107487628985287
802525.1373752925557-0.137375292555674
812524.37936921822070.62063078177933
821724.3316144685456-7.3316144685456
831920.3586233541285-1.35862335412847
842523.45517829661841.54482170338161
851921.7349870254826-2.73498702548262
862022.7858399135692-2.78583991356919
872622.59152064174893.40847935825114
882320.48768031227542.51231968772456
892724.47390940002592.52609059997409
901721.3651148582308-4.36511485823084
911723.2084174838922-6.20841748389221
921921.3533357694662-2.35333576946622
931720.5748857342479-3.57488573424786
942222.27480789833-0.274807898330001
952122.6288813498089-1.62888134980886
963228.12401714027663.87598285972337
972124.0769821528684-3.07698215286836
982124.1521256301243-3.15212563012434
991821.3723276805754-3.37232768057538
1001820.9103911893702-2.91039118937019
1012322.72076002353680.279239976463159
1021921.0738079701298-2.07380797012977
1032020.7532245962790-0.753224596278977
1042123.4845549731727-2.48455497317272
1052024.8675401713321-4.86754017133209
1061719.0776735155312-2.07767351553116
1071819.2790753612779-1.27907536127786
1081920.3131446122449-1.31314461224493
1092221.48785398741890.512146012581061
1101518.4265069306332-3.42650693063324
1111418.9306777030369-4.93067770303689
1121826.4103072897199-8.41030728971993
1132421.4982896343652.50171036563499
1143524.082455238222910.9175447617771
1152919.32407211161169.67592788838835
1162122.9796209967813-1.97962099678127
1172521.26660644850253.73339355149745
1182018.87463266578891.12536733421109
1192222.1454594740557-0.145459474055698
1201316.2431973967479-3.24319739674791
1212622.60891805705913.39108194294092
1221716.58226355908920.41773644091077
1232520.29599767562444.70400232437565
1242020.4867606355997-0.486760635599709
1251917.98672765619361.01327234380639
1262122.9975235473161-1.99752354731611
1272220.85615174359081.14384825640918
1282423.8890156795150.110984320484983
1292123.8799128354004-2.87991283540036
1302625.97981955624010.0201804437599116
1312419.64413963369534.35586036630469
1321619.7710716822945-3.7710716822945
1332321.65505798727361.34494201272639
1341820.5118425264845-2.51184252648450
1351622.542310427475-6.54231042747502
1362623.592077637972.40792236202999
1371918.79851573160190.201484268398138
1382117.35279138803413.64720861196585
1392122.1678896151079-1.16788961510788
1402219.86383086746142.13616913253862
1412320.77201448506422.22798551493581
1422925.27451198992443.72548801007562
1432118.31206666275722.68793333724275
1442119.44004760379681.55995239620315
1452321.24335562028281.75664437971718
1462722.74708846714034.25291153285969
1472525.5018999362049-0.501899936204929
1482120.63198134314480.368018656855221
1491016.9816341139897-6.9816341139897
1502023.2178751428864-3.21787514288639
1512622.57433088221113.42566911778890
1522424.7015834687921-0.70158346879213
1532932.3884529959283-3.38845299592827
1541919.2583682415068-0.258368241506761
1552421.02776284169212.97223715830786
1561920.1346277246302-1.13462772463022
1572422.86838792234671.13161207765330
1582221.60856643319550.391433566804472
1591724.0879970083019-7.08799700830192


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.7574300882464580.4851398235070840.242569911753542
210.7013053830979890.5973892338040210.298694616902011
220.5794902721491750.841019455701650.420509727850825
230.4531008279607620.9062016559215250.546899172039238
240.3982957635423170.7965915270846340.601704236457683
250.2959978424784350.5919956849568710.704002157521565
260.2264689383816270.4529378767632530.773531061618373
270.168755297497650.33751059499530.83124470250235
280.2150910061107440.4301820122214880.784908993889256
290.1532460743528700.3064921487057390.84675392564713
300.1207661965199010.2415323930398010.8792338034801
310.08903052579353830.1780610515870770.910969474206462
320.05983779762798250.1196755952559650.940162202372018
330.1627013652827410.3254027305654820.83729863471726
340.2581659208904520.5163318417809040.741834079109548
350.3336457064746220.6672914129492440.666354293525378
360.4736231563110110.9472463126220220.526376843688989
370.4526540392601120.9053080785202250.547345960739888
380.3936275624327040.7872551248654070.606372437567296
390.3413246855742940.6826493711485890.658675314425706
400.4787867111968210.9575734223936420.521213288803179
410.4413754495630540.8827508991261090.558624550436946
420.4108684845889350.8217369691778710.589131515411065
430.3824456350363760.7648912700727520.617554364963624
440.3845597739061910.7691195478123810.615440226093809
450.3463203121322220.6926406242644450.653679687867778
460.2922328980622710.5844657961245420.707767101937729
470.264305760740410.528611521480820.73569423925959
480.4060585920092680.8121171840185370.593941407990732
490.3509374389208780.7018748778417560.649062561079122
500.352636129441420.705272258882840.64736387055858
510.3739622701968300.7479245403936610.62603772980317
520.3252679318897510.6505358637795030.674732068110249
530.3749671052497090.7499342104994190.625032894750291
540.3441893637113470.6883787274226930.655810636288653
550.4833877155335120.9667754310670250.516612284466488
560.5153530306553730.9692939386892540.484646969344627
570.4795380634118260.9590761268236520.520461936588174
580.4370277654653340.8740555309306680.562972234534666
590.3909055448357250.781811089671450.609094455164275
600.3531606513568870.7063213027137740.646839348643113
610.3408912973749760.6817825947499530.659108702625024
620.3098174240426190.6196348480852370.690182575957381
630.2824459807317530.5648919614635060.717554019268247
640.3214881484663170.6429762969326340.678511851533683
650.2853686767661670.5707373535323350.714631323233833
660.2870604646005420.5741209292010830.712939535399458
670.3379427084615580.6758854169231160.662057291538442
680.3511919904626860.7023839809253720.648808009537314
690.3078100440938330.6156200881876670.692189955906167
700.2821887249833770.5643774499667530.717811275016623
710.3078265747552840.6156531495105680.692173425244716
720.2674579273454080.5349158546908150.732542072654592
730.2272600466885320.4545200933770640.772739953311468
740.1971697209484650.394339441896930.802830279051535
750.1962152003100230.3924304006200460.803784799689977
760.1760781796591330.3521563593182650.823921820340867
770.1673041077110890.3346082154221780.832695892288911
780.1383765940048670.2767531880097350.861623405995133
790.1131899543577910.2263799087155830.886810045642209
800.09397620604256750.1879524120851350.906023793957432
810.07689872512938950.1537974502587790.92310127487061
820.1733049593455070.3466099186910150.826695040654493
830.1449724824267240.2899449648534490.855027517573276
840.1227505366096810.2455010732193610.877249463390319
850.1131432300461730.2262864600923460.886856769953827
860.1080205290733480.2160410581466960.891979470926652
870.1344502569875850.2689005139751710.865549743012415
880.1338842993380400.2677685986760810.86611570066196
890.1221427532862980.2442855065725960.877857246713702
900.1370229236682430.2740458473364860.862977076331757
910.2223452615713780.4446905231427560.777654738428622
920.2036274023088310.4072548046176630.796372597691169
930.2014658339184490.4029316678368980.798534166081551
940.1670816621614340.3341633243228670.832918337838566
950.1447136155089550.289427231017910.855286384491045
960.1741804455825430.3483608911650870.825819554417456
970.1793810974998020.3587621949996030.820618902500198
980.1752431950005910.3504863900011830.824756804999409
990.1696890675974240.3393781351948470.830310932402576
1000.1535778743867150.307155748773430.846422125613285
1010.1282654944743780.2565309889487550.871734505525622
1020.1160203861417300.2320407722834610.88397961385827
1030.1108887810559620.2217775621119240.889111218944038
1040.09538621113314290.1907724222662860.904613788866857
1050.1194631579481820.2389263158963640.880536842051818
1060.1106643519592890.2213287039185790.88933564804071
1070.1011384619891340.2022769239782690.898861538010866
1080.07979277207941090.1595855441588220.92020722792059
1090.06600141085345340.1320028217069070.933998589146547
1100.066619869552960.133239739105920.93338013044704
1110.06640266595030520.1328053319006100.933597334049695
1120.1896617869815890.3793235739631770.810338213018411
1130.1841561109873790.3683122219747570.815843889012622
1140.7093004614532080.5813990770935830.290699538546792
1150.9207161156514040.1585677686971910.0792838843485956
1160.8967818292606080.2064363414787850.103218170739393
1170.9324522192198890.1350955615602230.0675477807801113
1180.9095329394413060.1809341211173890.0904670605586943
1190.925016586440590.149966827118820.07498341355941
1200.940928215299410.1181435694011820.0590717847005909
1210.9216450001336460.1567099997327080.0783549998663538
1220.8938294393380430.2123411213239140.106170560661957
1230.9731822850402070.05363542991958530.0268177149597927
1240.9589495228196240.08210095436075150.0410504771803757
1250.9420294024980170.1159411950039660.0579705975019832
1260.9192909553791920.1614180892416160.0807090446208081
1270.8911522439292280.2176955121415440.108847756070772
1280.8565617929794050.2868764140411890.143438207020595
1290.8331006495683950.3337987008632090.166899350431605
1300.7956597560507920.4086804878984160.204340243949208
1310.7368630073316230.5262739853367530.263136992668377
1320.6662995247124480.6674009505751030.333700475287552
1330.5986420254441780.8027159491116430.401357974555822
1340.5192004936736350.961599012652730.480799506326365
1350.450774785013380.901549570026760.54922521498662
1360.384688754745020.769377509490040.61531124525498
1370.4695366212710280.9390732425420560.530463378728972
1380.6579096205848220.6841807588303560.342090379415178
1390.5298678369355110.9402643261289780.470132163064489


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 level20.0166666666666667OK