Multiple Linear Regression - Estimated Regression Equation
E/Introjected[t] = + 7.19886437536333 + 0.537098324370937`I/Accomp.`[t] + 0.139674730633224`E/Ext.Regulation`[t] -0.669211159060354gender[t] + 0.0867952854772109PE[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7.198864375363332.5887912.78080.0061540.003077
`I/Accomp.`0.5370983243709370.0675897.946500
`E/Ext.Regulation`0.1396747306332240.0830141.68260.0946440.047322
gender-0.6692111590603540.641333-1.04350.2984920.149246
PE0.08679528547721090.0902170.96210.3376360.168818


Multiple Linear Regression - Regression Statistics
Multiple R0.570779891253353
R-squared0.325789684259189
Adjusted R-squared0.306930654448258
F-TEST (value)17.2749970452002
F-TEST (DF numerator)4
F-TEST (DF denominator)143
p-value1.39434019885698e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.58298406921987
Sum Squared Residuals1835.80180216053


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11117.2452219505526-6.24522195055256
22216.09179191227735.90820808772271
32324.9130977356286-1.91309773562856
42118.42872801620182.57127198379816
51919.4161293794665-0.416129379466504
61216.0009852574516-4.00098525745165
72418.82826796282785.17173203717216
82120.98594661631430.014053383685691
92120.14841887295380.85158112704618
102623.30317713853702.69682286146296
111819.8086280705876-1.80862807058755
122121.5472825321743-0.547282532174348
132217.33064286000854.66935713999151
142622.30385342594253.69614657405748
152023.8163869554565-3.8163869554565
162022.0703421543271-2.07034215432713
172622.74711520933133.25288479066871
182719.65663809779517.34336190220491
192720.19637341549326.80362658450683
201618.0841838676201-2.08418386762014
212623.62119578634012.37880421365988
222018.46212321608421.53787678391581
232523.18109163671731.81890836328265
241619.8399069175816-3.83990691758161
252021.1432105757611-1.14321057576106
262019.75574862543150.244251374568459
272421.98830021506542.01169978493464
282423.31320447140680.686795528593236
292216.56003326402225.43996673597783
301817.78759426157780.212405738422207
312121.5116432317942-0.511643231794236
321719.2186503010606-2.21865030106060
331515.7934788461760-0.793478846176028
342825.97234214888412.02765785111594
352319.18737145406663.81262854593345
361918.98478994540760.0152100545924071
371518.6551980323123-3.65519803231228
382624.00630413791861.99369586208140
392024.7456348869109-4.74563488691086
401115.5770361629353-4.57703616293531
411721.1547838410533-4.1547838410533
421618.5278385438383-2.52783854383829
432122.1182966968665-1.11829669686648
441818.1920591108205-0.192059110820457
451718.7609569226243-1.76095692262430
462122.1042579946483-1.10425799464833
471820.7431499886962-2.74314998869620
481614.87602551644211.12397448355795
491316.6728334098391-3.67283340983915
502826.01502270476911.98497729523088
512517.84047370673387.1595262932662
522421.94963102852872.05036897147128
531517.4047738192888-2.40477381928884
542120.6563547032190.343645296781008
551117.7875942615778-6.78759426157779
562721.91205290289675.08794709710328
572320.74807489131292.25192510868713
582122.3950091648058-1.39500916480579
591618.0991361031065-2.09913610310652
602017.08922060841172.91077939158833
612123.5040351871371-2.50403518713709
621016.5596841799845-6.55968417998454
631824.4139266209273-6.41392662092726
642019.45268221311480.547317786885155
652125.6793030694371-4.67930306943708
662422.50379794127431.49620205872567
672620.64403946105985.35596053894025
682321.55959777433361.44040222566641
692220.40124283344161.59875716655835
701316.6917970146740-3.69179701467396
712726.34587723517030.654122764829708
722418.24545919641535.75454080358468
731922.7774805230571-3.77748052305712
741719.0812634797169-2.0812634797169
751621.4415236418623-5.44152364186232
762020.5193169659129-0.519316965912912
77816.6970710013282-8.69707100132825
781621.3909321059958-5.39093210599583
791719.8615075157436-2.86150751574357
802323.3207663673506-0.320766367350571
811819.011143889785-1.01114388978498
822423.62383277966730.376167220332733
831717.8188731085718-0.818873108571847
842021.9759849729061-1.97598497290611
852219.57740470826172.42259529173831
862219.25520313470892.74479686529105
872019.34337279620740.656627203792555
881820.9885836096415-2.98858360964145
892119.95322770383741.04677229616256
902319.13185501558343.86814498441661
912822.99730217649205.00269782350803
921921.4076078015411-2.40760780154112
932219.91438696089962.08561303910042
941720.6828802039976-3.68288020399761
952523.40228766617351.59771233382651
962222.0364263140059-0.0364263140059339
972119.32933409398931.67066590601071
981519.1847344607394-4.18473446073941
992020.7308347465370-0.730834746536964
1002518.67679863047426.32320136952576
1012120.44884829194340.551151708056627
1022423.45024220871280.549757791287155
1032320.750711884642.24928811535999
1042223.6740752314961-1.67407523149614
1051420.5748334043961-6.57483340439607
1061122.0993330920317-11.0993330920317
1072216.83147174530725.16852825469281
1082222.0654172517105-0.0654172517104694
109615.4316945528184-9.43169455281842
1101520.8851126286189-5.88511262861895
1112622.22405558717853.77594441282149
1122622.82371160553763.17628839446245
1132017.91094238070332.08905761929666
1142622.72058970855273.27941029144733
1151516.6415545628451-1.64155456284509
1162520.79127608763684.20872391236322
1172223.6261206889568-1.62612068895679
1182021.9157151882075-1.91571518820752
1191817.80254649706420.197453502935824
1202317.61136669729625.38863330270377
1212220.07393882963581.92606117036415
1222320.7092341483752.29076585162499
1231722.3231661148150-5.32316611481496
1242016.77859230015123.22140769984883
1252120.66127960583570.338720394164346
1262324.4186799671427-1.41867996714269
1272523.41196591500561.58803408499441
1282521.09926740257013.90073259742986
1292117.19589303199193.80410696800807
1302219.19968669622582.80031330377421
1311819.2904933510514-1.29049335105143
1321820.2373305113193-2.23733051131932
1331822.3593698644257-4.35936986442568
1342119.58971995042091.41028004957907
1352117.17165544050283.82834455949717
1362521.04902495074133.95097504925873
1372421.18113778543072.81886221456931
1382421.75215195012282.24784804987718
1392824.40865263427303.59134736572703
1402423.1445388030690.855461196930994
1412222.067705161-0.0677051609999881
1422221.55959777433360.440402225666413
1432021.7671041856092-1.76710418560921
1442521.78606779044403.21393220955598
1451318.3004549944596-5.30045499445963
1462119.96726640605561.03273359394441
1472319.67159033328153.32840966671853
1481821.1358202362185-3.13582023621848


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6252190828711110.7495618342577780.374780917128889
90.5747867824045290.8504264351909420.425213217595471
100.551345908563110.897308182873780.44865409143689
110.5620458728500610.8759082542998790.437954127149939
120.5593554297446740.8812891405106520.440644570255326
130.8059152614956790.3881694770086420.194084738504321
140.739034842942010.5219303141159810.260965157057990
150.6909197571676750.6181604856646510.309080242832325
160.6419311814619520.7161376370760950.358068818538048
170.6175175529036020.7649648941927960.382482447096398
180.8385839970577780.3228320058844430.161416002942222
190.908365168277060.1832696634458790.0916348317229396
200.8953118465679730.2093763068640540.104688153432027
210.8636945473185010.2726109053629970.136305452681499
220.8235042936871360.3529914126257280.176495706312864
230.7798759633754060.4402480732491870.220124036624594
240.8118491904813060.3763016190373880.188150809518694
250.7737479437986870.4525041124026260.226252056201313
260.7210269393109840.5579461213780320.278973060689016
270.6718699353560560.6562601292878880.328130064643944
280.6114456544388890.7771086911222230.388554345561111
290.6305293314934890.7389413370130220.369470668506511
300.5768121682082260.8463756635835490.423187831791774
310.5194479343110110.9611041313779770.480552065688989
320.5034989181897170.9930021636205670.496501081810283
330.4541514035053040.9083028070106080.545848596494696
340.4064148218451020.8128296436902050.593585178154898
350.3876632358674590.7753264717349180.612336764132541
360.3337082213769370.6674164427538740.666291778623063
370.3544888030324110.7089776060648220.645511196967589
380.3091295936956230.6182591873912450.690870406304377
390.3542983659359550.708596731871910.645701634064045
400.4122055415954990.8244110831909990.5877944584045
410.4402023689082270.8804047378164540.559797631091773
420.4108868153289270.8217736306578550.589113184671073
430.3714264774669580.7428529549339160.628573522533042
440.3213646710249550.642729342049910.678635328975045
450.2864410149456630.5728820298913260.713558985054337
460.2465721719297060.4931443438594130.753427828070294
470.2335636490930960.4671272981861910.766436350906904
480.2001094706696900.4002189413393800.79989052933031
490.2116418934515480.4232837869030960.788358106548452
500.1843326043196010.3686652086392020.815667395680399
510.277126110924260.554252221848520.72287388907574
520.2483825036065710.4967650072131420.751617496393429
530.2249461183029090.4498922366058190.77505388169709
540.1884108031575080.3768216063150170.811589196842492
550.3182123606372780.6364247212745570.681787639362721
560.3476054671585890.6952109343171790.652394532841411
570.3220632824304720.6441265648609440.677936717569528
580.2877023362369420.5754046724738830.712297663763058
590.2617821245418730.5235642490837470.738217875458127
600.2449959130034840.4899918260069680.755004086996516
610.2256529322988380.4513058645976770.774347067701162
620.3204899159227630.6409798318455260.679510084077237
630.418150238346180.836300476692360.58184976165382
640.3730557897717980.7461115795435950.626944210228202
650.4072721971877360.8145443943754710.592727802812264
660.3697250542574220.7394501085148440.630274945742578
670.4212275291436080.8424550582872160.578772470856392
680.3813390067523660.7626780135047320.618660993247634
690.3430005701973610.6860011403947220.656999429802639
700.3515021805633480.7030043611266970.648497819436652
710.3100184599692890.6200369199385770.689981540030711
720.3742083574233780.7484167148467570.625791642576622
730.3817866345525410.7635732691050810.61821336544746
740.3544177879995590.7088355759991180.645582212000441
750.414138978594940.828277957189880.58586102140506
760.3690426139149120.7380852278298230.630957386085088
770.6119990763391750.776001847321650.388000923660825
780.6712568959693830.6574862080612340.328743104030617
790.6551204986057130.6897590027885750.344879501394287
800.6132541379977690.7734917240044610.386745862002231
810.569503987777430.860992024445140.43049601222257
820.5222644908974940.9554710182050130.477735509102506
830.4768833111845030.9537666223690060.523116688815497
840.4405509642074130.8811019284148250.559449035792587
850.4108189493814320.8216378987628650.589181050618568
860.3863337234320610.7726674468641220.613666276567939
870.3416532567474040.6833065134948080.658346743252596
880.3259037276410010.6518074552820020.674096272358999
890.2865863050183550.573172610036710.713413694981645
900.2901874083830790.5803748167661580.709812591616921
910.3390911753094990.6781823506189990.660908824690501
920.3120167312308350.6240334624616690.687983268769165
930.2839356499739570.5678712999479140.716064350026043
940.2980864863881450.5961729727762910.701913513611855
950.2624899548602110.5249799097204220.737510045139789
960.2256745310194520.4513490620389040.774325468980548
970.1947570733382840.3895141466765680.805242926661716
980.2044722154420500.4089444308841000.79552778455795
990.1712218059939640.3424436119879290.828778194006036
1000.2182964358018060.4365928716036110.781703564198194
1010.1828718020675670.3657436041351350.817128197932433
1020.1522875623845710.3045751247691420.847712437615429
1030.1307877553574600.2615755107149190.86921224464254
1040.1082366877604950.2164733755209890.891763312239505
1050.1704436390255340.3408872780510670.829556360974467
1060.6040682570770550.7918634858458890.395931742922945
1070.6556512649624810.6886974700750380.344348735037519
1080.6070355073554780.7859289852890450.392964492644523
1090.904168591047930.1916628179041420.0958314089520709
1100.9529450333140.09410993337200120.0470549666860006
1110.9508988688123970.09820226237520610.0491011311876031
1120.9505317350485480.09893652990290440.0494682649514522
1130.934267283238310.1314654335233820.065732716761691
1140.9384646962054390.1230706075891220.0615353037945612
1150.9439389474529440.1121221050941120.0560610525470561
1160.9370172956720970.1259654086558070.0629827043279035
1170.9191889996950080.1616220006099840.0808110003049922
1180.917745360583350.1645092788333000.0822546394166502
1190.898013139675970.2039737206480580.101986860324029
1200.9093117337258580.1813765325482830.0906882662741415
1210.8794958857582440.2410082284835120.120504114241756
1220.8639537511780750.2720924976438490.136046248821925
1230.9197023817252410.1605952365495180.0802976182747589
1240.8996924766275080.2006150467449840.100307523372492
1250.8635994895045530.2728010209908940.136400510495447
1260.8288401324778140.3423197350443710.171159867522186
1270.790222825033780.419554349932440.20977717496622
1280.7959872097862230.4080255804275530.204012790213777
1290.7506290196003890.4987419607992230.249370980399611
1300.6973252308895180.6053495382209630.302674769110482
1310.6283463484253890.7433073031492230.371653651574611
1320.5653527901101020.8692944197797950.434647209889898
1330.7092204812734360.5815590374531270.290779518726564
1340.6179134295844870.7641731408310260.382086570415513
1350.8395274818291450.3209450363417090.160472518170855
1360.8774340166058780.2451319667882440.122565983394122
1370.7992967896262720.4014064207474550.200703210373728
1380.6931078318785690.6137843362428630.306892168121431
1390.579876383529740.840247232940520.42012361647026
1400.4119646250486860.8239292500973720.588035374951314


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 level30.0225563909774436OK