Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 5.84193985565273 + 0.115557843089715Connected[t] -0.0240820190849224Separate[t] + 0.545468871332887Software[t] + 0.0641530463219263Happiness[t] -0.077578587192158Depression[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.841939855652732.3830462.45150.0153310.007666
Connected0.1155578430897150.0465712.48130.0141510.007075
Separate-0.02408201908492240.044292-0.54370.5874180.293709
Software0.5454688713328870.0685687.955200
Happiness0.06415304632192630.0747940.85770.3923580.196179
Depression-0.0775785871921580.055104-1.40790.1611630.080581


Multiple Linear Regression - Regression Statistics
Multiple R0.594884268267061
R-squared0.353887292631636
Adjusted R-squared0.333178552010855
F-TEST (value)17.0887886961371
F-TEST (DF numerator)5
F-TEST (DF denominator)156
p-value1.84963155902551e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.84244327338335
Sum Squared Residuals529.557165639147


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.1775207552997-3.17752075529972
21615.87961908477680.12038091522322
31916.26742083921622.73257916078383
41511.7412330991863.25876690081401
51415.3682655520039-1.36826555200394
61314.8665863111476-1.86658631114764
71915.33919333079313.66080666920685
81516.5852962216995-1.58529622169947
91415.8912878178121-1.89128781781213
101512.42905061407332.57094938592672
111615.25609993030930.743900069690669
121616.3271391965691-0.327139196569078
131615.41374533642110.586254663578858
141615.37408511604690.625914883953083
151717.3253160033376-0.325316003337587
161515.1027530885326-0.102753088532562
171514.49812873731060.501871262689432
182016.10088495218853.89911504781151
191815.55609337217172.4439066278283
201615.33271978745350.667280212546505
211615.35694651283250.643053487167514
221614.84290014464691.15709985535309
231916.49187394045322.50812605954684
241614.86227522549491.13772477450514
251714.72452829578912.27547170421092
261716.7794522711090.220547728891038
271614.78692453427611.21307546572387
281516.1353420107562-1.1353420107562
291615.28246397794420.717536022055797
301414.1280504802726-0.128050480272596
311515.6238043694721-0.623804369472103
321212.2254387733233-0.225438773323278
331415.1405420872196-1.14054208721962
341615.53442950627070.465570493729298
351415.4836934191589-1.48369341915892
36712.9691863476649-5.96918634766493
371010.7451936146734-0.74519361467336
381415.7842946815977-1.78429468159766
391614.21607934250191.7839206574981
401614.60465017758261.39534982241736
411615.0657325626830.934267437317001
421415.4621748673558-1.46217486735584
432018.05036639595121.94963360404877
441414.2301827824921-0.230182782492079
451414.9300021687623-0.930002168762309
461115.5174977140377-4.51749771403767
471416.6491228861769-2.64912288617692
481514.94564884910290.0543511508971324
491615.01398604590750.986013954092458
501415.9887648814103-1.98876488141032
511616.5119011771862-0.51190117718621
521414.0840614031216-0.0840614031215548
531214.5999796007982-2.59997960079815
541615.63062145797640.369378542023586
55911.4129826772199-2.41298267721989
561412.6511213157751.34887868422502
571616.0934606509117-0.0934606509116523
581615.18404352246120.815956477538787
591515.2448356315183-0.24483563151826
601614.1285221762151.871477823785
611211.41431334002880.585686659971197
621615.86302225604830.136977743951683
631616.3393405146265-0.339340514626459
641414.3935623359401-0.393562335940116
651615.52376444639590.47623555360408
661715.87469098908371.12530901091633
671816.18256326484511.8174367351549
681814.49751172727023.50248827272976
691215.8848154900802-3.88481549008019
701615.41725158778390.582748412216057
711013.6195571916767-3.61955719167669
721414.372043784137-0.372043784137043
731816.42204603638231.57795396361768
741817.06884913214780.931150867852196
751615.64694360447610.353056395523927
761713.8312984048123.16870159518797
771616.3997208251323-0.39972082513227
781614.53967513365051.46032486634945
791314.8304173878576-1.83041738785763
801616.1487743081295-0.148774308129534
811615.44295368226590.55704631773409
822015.9987526499694.00124735003099
831615.80514452374470.194855476255267
841515.9640055710093-0.964005571009304
851514.7525124188210.247487581179005
861614.25311581431851.74688418568149
871414.1569330520767-0.156933052076737
881615.34938608692170.65061391307833
891614.63842994483431.36157005516574
901514.14861090983150.851389090168471
911213.5485803003474-1.54858030034736
921717.0837414604609-0.0837414604609213
931615.39850209863640.601497901363589
941515.145584596765-0.145584596765016
951315.0744869189649-2.07448691896489
961615.10951604446030.89048395553965
971615.8943838701160.105616129883991
981614.09391980354941.90608019645064
991616.0816551854385-0.0816551854384656
1001414.3140366837026-0.314036683702579
1011617.3175653202163-1.31756532021627
1021614.80344612745021.19655387254977
1032017.38852626557862.61147373442144
1041514.7179709352350.282029064765018
1051614.43734581771751.56265418228253
1061315.3426396847648-2.34263968476478
1071716.10897796312130.891022036878669
1081615.90727743376810.092722566231931
1091614.63716077890881.36283922109117
1101212.3974087768814-0.397408776881397
1111614.91170842959011.08829157040986
1121615.80809526195070.191904738049314
1131714.53321077977482.46678922022516
1141314.4797056300075-1.47970563000752
1151214.9772919019025-2.97729190190246
1161816.68871363581141.31128636418857
1171415.5952056693607-1.59520566936071
1181413.06099774297810.939002257021857
1191315.0125709580803-2.01257095808033
1201615.64627550262390.353724497376076
1211314.3706293041137-1.37062930411369
1221615.67715623128530.32284376871473
1231315.9484968404597-2.94849684045972
1241617.1806945206972-1.18069452069717
1251516.1088326490234-1.10883264902341
1261616.7921845746961-0.792184574696058
1271515.5027329286984-0.502732928698439
1281716.30225970750110.697740292498874
1291514.0631592535550.936840746445047
1301215.0456893799829-3.0456893799829
1311614.18039806112131.81960193887866
1321013.3328981091632-3.33289810916316
1331614.12347966666961.8765203333304
1341214.0383155181356-2.03831551813564
1351415.7794424292628-1.77944242926277
1361515.3273872575161-0.327387257516104
1371312.3783508884140.621649111586012
1381514.74023586520930.259764134790741
1391113.3849193081674-2.38491930816742
1401213.5403579212836-1.54035792128363
141813.3936287213367-5.39362872133673
1421613.27126297920662.72873702079335
1431513.33945486191341.6605451380866
1441716.61503715256630.384962847433733
1451614.90185678566541.09814321433457
1461014.2545462403089-4.2545462403089
1471816.07617734140321.92382265859685
1481315.377857851863-2.37785785186303
1491615.2553467956350.744653204364971
1501313.1284438553175-0.128443855317545
1511013.207726942925-3.20772694292505
1521516.4105835065245-1.4105835065245
1531614.09325109389341.90674890610664
1541612.05897235703533.94102764296469
1551412.53481094581481.46518905418519
1561012.71013208937-2.71013208937001
1571717.0837414604609-0.0837414604609213
1581311.73361178419551.26638821580445
1591514.0631592535550.936840746445047
1601615.13622181210290.863778187897109
1611212.4340931236187-0.434093123618684
1621312.86043701141940.139562988580568


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.6043351589890190.7913296820219630.395664841010981
100.7667049416651420.4665901166697160.233295058334858
110.7047764781382410.5904470437235180.295223521861759
120.7842458493023120.4315083013953760.215754150697688
130.7152803318142010.5694393363715980.284719668185799
140.6837928089967170.6324143820065660.316207191003283
150.6647582807803730.6704834384392540.335241719219627
160.6132895877536190.7734208244927630.386710412246381
170.5349916116908640.9300167766182720.465008388309136
180.858423919821550.28315216035690.14157608017845
190.8631054877713570.2737890244572860.136894512228643
200.8176824775621260.3646350448757480.182317522437874
210.7694462796505090.4611074406989810.230553720349491
220.711622614097180.576754771805640.28837738590282
230.7317117717517930.5365764564964130.268288228248207
240.6783215206528650.643356958694270.321678479347135
250.6672996546523960.6654006906952080.332700345347604
260.6051728728141840.7896542543716320.394827127185816
270.5454187478441670.9091625043116650.454581252155833
280.5202324458518410.9595351082963180.479767554148159
290.4570647757124270.9141295514248550.542935224287573
300.4362629998132960.8725259996265920.563737000186704
310.3779613318839210.7559226637678410.62203866811608
320.3641534339382560.7283068678765120.635846566061744
330.3444999439855510.6889998879711030.655500056014448
340.2907085648838230.5814171297676460.709291435116177
350.2755651383503460.5511302767006930.724434861649654
360.8123178660601290.3753642678797430.187682133939871
370.8001394646879510.3997210706240980.199860535312049
380.7993340148080290.4013319703839410.200665985191971
390.8202908360529350.3594183278941310.179709163947065
400.8001752683864950.399649463227010.199824731613505
410.7688509292124790.4622981415750430.231149070787521
420.7543727528714170.4912544942571650.245627247128582
430.7601762951671540.4796474096656920.239823704832846
440.722545174948020.554909650103960.27745482505198
450.6920980285767760.6158039428464490.307901971423224
460.8854076702502870.2291846594994260.114592329749713
470.9101124594342310.1797750811315370.0898875405657687
480.887768652856910.2244626942861810.112231347143091
490.866366935685630.2672661286287410.133633064314371
500.8679150886798220.2641698226403550.132084911320178
510.8406867107433390.3186265785133230.159313289256661
520.8085908971848020.3828182056303950.191409102815197
530.8370873114595450.3258253770809110.162912688540456
540.8061397303182720.3877205393634570.193860269681728
550.825612742618640.3487745147627190.174387257381359
560.8056295746533750.388740850693250.194370425346625
570.7721872463079240.4556255073841530.227812753692076
580.7485301479754430.5029397040491140.251469852024557
590.709665167863380.580669664273240.29033483213662
600.7061064588802060.5877870822395870.293893541119794
610.6677927099327040.6644145801345920.332207290067296
620.6233499166751520.7533001666496960.376650083324848
630.5790631856474270.8418736287051470.420936814352574
640.5341852726772450.931629454645510.465814727322755
650.4906833416064520.9813666832129040.509316658393548
660.462037979508680.924075959017360.53796202049132
670.4544400201248170.9088800402496340.545559979875183
680.5844065975906580.8311868048186830.415593402409342
690.7274053569844230.5451892860311540.272594643015577
700.6910638665295170.6178722669409670.308936133470483
710.7899935387770050.420012922445990.210006461222995
720.7556911310170760.4886177379658480.244308868982924
730.746673536932010.5066529261359790.253326463067989
740.7200143325070780.5599713349858450.279985667492922
750.6803698029488170.6392603941023660.319630197051183
760.7475263344195480.5049473311609040.252473665580452
770.7109087417660880.5781825164678230.289091258233912
780.6957781133023710.6084437733952570.304221886697628
790.6958618455299930.6082763089400130.304138154470007
800.6550657861506890.6898684276986230.344934213849311
810.6160701882154520.7678596235690960.383929811784548
820.7676266080855430.4647467838289150.232373391914458
830.7314067479080480.5371865041839030.268593252091952
840.7022855970707580.5954288058584840.297714402929242
850.6616340844890310.6767318310219380.338365915510969
860.6570267974992720.6859464050014570.342973202500728
870.6135034143440510.7729931713118990.386496585655949
880.5741481309093710.8517037381812580.425851869090629
890.5529802354883810.8940395290232370.447019764511619
900.5240096500424830.9519806999150350.475990349957517
910.5094517854185370.9810964291629260.490548214581463
920.4685265952955120.9370531905910240.531473404704488
930.4279425172302670.8558850344605330.572057482769733
940.3850172092225770.7700344184451540.614982790777423
950.395959290727350.79191858145470.60404070927265
960.3626577124547820.7253154249095640.637342287545218
970.3244318152840.6488636305679990.675568184716
980.3270939001819150.654187800363830.672906099818085
990.286025545781040.572051091562080.71397445421896
1000.249035357100080.498070714200160.75096464289992
1010.226960010043710.453920020087420.77303998995629
1020.2129786434298180.4259572868596360.787021356570182
1030.2638157330057780.5276314660115560.736184266994222
1040.226830736297560.453661472595120.77316926370244
1050.2243701423251680.4487402846503370.775629857674832
1060.2360132718709690.4720265437419390.76398672812903
1070.2142412329510170.4284824659020350.785758767048983
1080.1921262956186270.3842525912372530.807873704381373
1090.1826923834870630.3653847669741260.817307616512937
1100.1681840732475550.3363681464951090.831815926752445
1110.1534113573203240.3068227146406490.846588642679676
1120.1300073788694290.2600147577388580.869992621130571
1130.1575592316845570.3151184633691140.842440768315443
1140.1403053960179810.2806107920359610.85969460398202
1150.1751453477696930.3502906955393850.824854652230307
1160.166428370263910.3328567405278210.83357162973609
1170.1459695991367930.2919391982735860.854030400863207
1180.1277734335473360.2555468670946720.872226566452664
1190.1315714231754790.2631428463509590.86842857682452
1200.1195832021480510.2391664042961030.880416797851949
1210.1006785511571970.2013571023143950.899321448842803
1220.0812615304287890.1625230608575780.918738469571211
1230.093030372462620.186060744925240.90696962753738
1240.0761995287204860.1523990574409720.923800471279514
1250.06253041933865530.1250608386773110.937469580661345
1260.04860763774489020.09721527548978050.95139236225511
1270.03778137122555370.07556274245110750.962218628774446
1280.03209875040210650.0641975008042130.967901249597893
1290.02529829535108450.0505965907021690.974701704648915
1300.03374542804424690.06749085608849380.966254571955753
1310.02944556321427820.05889112642855640.970554436785722
1320.04390327680127660.08780655360255310.956096723198723
1330.04957516526227460.09915033052454920.950424834737725
1340.06244509014814480.124890180296290.937554909851855
1350.05064527646204240.1012905529240850.949354723537958
1360.03642918343402420.07285836686804850.963570816565976
1370.02575956702827860.05151913405655710.974240432971721
1380.01776504375685120.03553008751370250.982234956243149
1390.02788027196209790.05576054392419570.972119728037902
1400.02203559598242150.0440711919648430.977964404017578
1410.4840507659828040.9681015319656080.515949234017196
1420.4602009444720.9204018889440.539799055528
1430.3925066519165630.7850133038331260.607493348083437
1440.4051954896889580.8103909793779160.594804510311042
1450.3560776740661780.7121553481323570.643922325933822
1460.3440998867509860.6881997735019730.655900113249014
1470.3961277698092350.792255539618470.603872230190765
1480.8147776472951350.370444705409730.185222352704865
1490.7889644945437460.4220710109125080.211035505456254
1500.6905743183403730.6188513633192530.309425681659627
1510.8836830018228920.2326339963542150.116316998177107
1520.9336259163644630.1327481672710740.0663740836355371
1530.900694983710770.1986100325784610.0993050162892306


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0137931034482759OK
10% type I error level130.0896551724137931OK