Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 5.75162899505497 + 0.115277436449707Connected[t] -0.0237127470059973Separate[t] + 0.545447305595596Software[t] + 0.0629073129849922Happiness[t] -0.0768312591878517Depression[t] + 0.00135058357917087Belonging[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.751628995054972.5771922.23170.0270660.013533
Connected0.1152774364497070.0468152.46240.0148970.007448
Separate-0.02371274700599730.044607-0.53160.5957730.297887
Software0.5454473055955960.0687877.929500
Happiness0.06290731298499220.0761990.82560.4103170.205159
Depression-0.07683125918785170.055851-1.37560.1709150.085457
Belonging0.001350583579170870.0143960.09380.9253770.462689


Multiple Linear Regression - Regression Statistics
Multiple R0.594915101616055
R-squared0.353923978130841
Adjusted R-squared0.328914583735905
F-TEST (value)14.1516412809466
F-TEST (DF numerator)6
F-TEST (DF denominator)155
p-value8.11350986396064e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.84832460845271
Sum Squared Residuals529.527098022837


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.1525953716439-3.15259537164395
21615.89189944442540.108100555574641
31916.26719685770052.73280314229953
41511.73879445274173.26120554725832
51415.3802100846978-1.38021008469782
61314.8688447062277-1.86884470622771
71915.3197171359083.68028286409202
81516.5972704375246-1.59727043752463
91415.8922785169367-1.89227851693667
101512.43594126838962.56405873161041
111615.25935731053470.740642689465284
121616.2942713626749-0.294271362674917
131615.41468644391770.585313556082336
141615.35009588432240.649904115677633
151717.3416421558465-0.341642155846535
161515.0867525781467-0.0867525781466997
171514.50364038060620.496359619393762
182016.11958668570863.88041331429139
191815.54511213089552.4548878691045
201615.31176062673140.688239373268638
211615.34155800743940.658441992560599
221614.84368453254571.15631546745428
231916.46883838791932.53116161208072
241614.84690017963531.15309982036467
251714.73809752024922.26190247975083
261716.79274212855170.207257871448289
271614.7901611267011.20983887329904
281516.1360987979466-1.13609879794664
291615.29194899916480.708051000835184
301414.1266774123003-0.126677412300335
311515.629722637378-0.629722637377981
321212.2071480140323-0.207148014032253
331415.1332752054516-1.13327520545164
341615.55097272662910.449027273370886
351415.4868862885187-1.48688628851869
36712.963875817795-5.96387581779504
371010.7468907270798-0.746890727079784
381415.7819897418354-1.78198974183544
391614.21780863174981.78219136825016
401614.60096441944191.39903558055808
411615.0646308424010.935369157598975
421415.466081997862-1.466081997862
432018.01987170741811.98012829258186
441414.2077721488596-0.20777214885962
451414.9256218916482-0.925621891648186
461115.5173294224078-4.51732942240782
471416.638105714383-2.638105714383
481514.94923097338930.0507690266107342
491615.01735130035380.982648699646196
501415.9926763292754-1.99267632927541
511616.5111312871377-0.511131287137688
521414.079151460186-0.0791514601860379
531214.5974585203362-2.59745852033617
541615.62377872995840.376221270041578
55911.403766255473-2.40376625547295
561412.65504900961341.34495099038657
571616.0942371087132-0.0942371087132206
581615.17642638292840.82357361707163
591515.2483233782506-0.248323378250632
601614.13153864709081.86846135290915
611211.40234056136640.597659438633623
621615.87112074323390.128879256766098
631616.3513782356503-0.351378235650284
641414.3704988406144-0.370498840614378
651615.49906918291430.500930817085732
661715.89175856943281.10824143056723
671816.18292039323961.81707960676044
681814.5011335277813.49886647221904
691215.8741968943214-3.87419689432137
701615.41549763182770.584502368172297
711013.614476244845-3.61447624484496
721414.3510451335369-0.35104513353686
731816.43672757469511.5632724253049
741817.06469860109540.935301398904567
751615.66228557071910.337714429280898
761713.84823287435843.15176712564163
771616.3954962790597-0.395496279059719
781614.54074096828481.45925903171516
791314.838467986537-1.83846798653696
801616.1212628910688-0.1212628910688
811615.45265511928960.54734488071045
822015.93989934786994.06010065213015
831615.80235509492530.197644905074697
841515.9628756584285-0.962875658428485
851514.75307052701420.246929472985806
861614.26105324460931.73894675539069
871414.1624972910409-0.162497291040919
881615.3468362053370.653163794663008
891614.6194921093141.38050789068595
901514.16323575314870.836764246851301
911213.5498069357226-1.54980693572261
921717.0627760812488-0.0627760812487845
931615.40828257162490.591717428375067
941515.1608990598889-0.160899059888935
951315.0861890723237-2.08618907232374
961615.11768302336080.882316976639236
971615.8965408470040.103459152995973
981614.1011739138681.898826086132
991616.0897061522287-0.0897061522286984
1001414.319262580099-0.319262580098991
1011617.3185310471496-1.3185310471496
1021614.81104857012951.18895142987048
1032017.40529615369162.59470384630837
1041514.7124455148230.287554485176965
1051614.45191327673671.5480867232633
1061315.3474977916778-2.34749779167784
1071716.11161061079160.888389389208438
1081615.90877540529660.0912245947034114
1091614.62112667889341.37887332110657
1101212.378004281293-0.378004281292986
1111614.92780627712641.07219372287362
1121615.81842589201210.18157410798791
1131714.55970726845682.44029273154318
1141314.4374623417798-1.43746234177984
1151214.9781346769388-2.97813467693879
1161816.7032558159351.296744184065
1171415.5760857568333-1.57608575683334
1181413.06256726175970.937432738240347
1191315.008169930299-2.00816993029895
1201615.67366637117260.326333628827435
1211314.3536835015023-1.3536835015023
1221615.68350943375360.316490566246352
1231315.9714098963118-2.9714098963118
1241617.1836760090936-1.18367600909362
1251516.1085626584401-1.10856265844011
1261616.8037657782249-0.803765778224931
1271515.519440937725-0.519440937725008
1281716.30001434088470.699985659115279
1291514.07064362160110.929356378398927
1301215.0457843241815-3.04578432418146
1311614.18100201806331.81899798193671
1321013.3391888223396-3.33918882233957
1331614.12822529707861.87177470292137
1341214.0315864701719-2.0315864701719
1351415.7827551939927-1.78275519399268
1361515.3398321980408-0.339832198040774
1371312.36453552666470.63546447333527
1381514.73118756933440.268812430665622
1391113.3700908083967-2.37009080839674
1401213.528587510131-1.52858751013101
141813.3933193556598-5.3933193556598
1421613.2460806241782.75391937582196
1431513.35707284048291.64292715951707
1441716.63659298661460.363407013385434
1451614.90538622552631.09461377447369
1461014.2727848358618-4.2727848358618
1471816.0782640145491.92173598545096
1481315.3675345703188-2.36753457031875
1491615.26181714459820.73818285540183
1501313.1415216105384-0.141521610538375
1511013.2248470878143-3.22484708781428
1521516.4250844248294-1.42508442482942
1531614.08993030766781.9100696923322
1541612.06438063440043.93561936559963
1551412.54324647661411.4567535233859
1561012.724445608073-2.72444560807304
1571717.0627760812488-0.0627760812487845
1581311.734074175921.26592582407998
1591514.07064362160110.929356378398927
1601615.15193704846920.848062951530776
1611212.4595133720894-0.459513372089375
1621312.86266657565590.137333424344077


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.4117989383137390.8235978766274780.588201061686261
110.2842826481475140.5685652962950290.715717351852486
120.8394576071028950.321084785794210.160542392897105
130.7661402161979380.4677195676041250.233859783802062
140.7024440145619460.5951119708761090.297555985438054
150.7161001019130870.5677997961738250.283899898086912
160.6833947687732950.633210462453410.316605231226705
170.602299687783520.795400624432960.39770031221648
180.8843994831153770.2312010337692450.115600516884623
190.8898310802948480.2203378394103050.110168919705152
200.851742174824980.2965156503500410.14825782517502
210.8099506971857670.3800986056284660.190049302814233
220.7562316916008950.487536616798210.243768308399105
230.7761828082647810.4476343834704380.223817191735219
240.7263882245136450.5472235509727110.273611775486355
250.711129228286890.577741543426220.28887077171311
260.6519987327962070.6960025344075860.348001267203793
270.592516278930260.814967442139480.40748372106974
280.5672476113577530.8655047772844930.432752388642247
290.5028747172809010.9942505654381970.497125282719099
300.4802960051928260.9605920103856510.519703994807174
310.4200387949517030.8400775899034070.579961205048297
320.3996093423491120.7992186846982240.600390657650888
330.375524581823390.7510491636467790.62447541817661
340.3191248714029990.6382497428059990.680875128597001
350.3036969783444440.6073939566888880.696303021655556
360.8282056741882830.3435886516234330.171794325811717
370.8179241954247970.3641516091504060.182075804575203
380.8161861200545970.3676277598908060.183813879945403
390.8345178790237490.3309642419525010.165482120976251
400.8153517827849160.3692964344301680.184648217215084
410.7849295067865890.4301409864268210.215070493213411
420.7716997132797410.4566005734405190.228300286720259
430.7809470396685670.4381059206628650.219052960331433
440.7445676900258050.510864619948390.255432309974195
450.714569541526080.5708609169478390.28543045847392
460.8960130151602980.2079739696794040.103986984839702
470.9181297500077110.1637404999845790.0818702499922895
480.8970134844795730.2059730310408530.102986515520427
490.8765232065103790.2469535869792410.123476793489621
500.8776497940785460.2447004118429090.122350205921454
510.8514883161949840.2970233676100310.148511683805016
520.8204824429245430.3590351141509140.179517557075457
530.8470778157087560.3058443685824890.152922184291244
540.8170682212228660.3658635575542680.182931778777134
550.8349076930697170.3301846138605660.165092306930283
560.8150740277075510.3698519445848980.184925972292449
570.7823347873956760.4353304252086490.217665212604324
580.7590433176135470.4819133647729060.240956682386453
590.7206734796101660.5586530407796690.279326520389834
600.7163692090889320.5672615818221360.283630790911068
610.6784981269107390.6430037461785210.321501873089261
620.6341979654174130.7316040691651740.365802034582587
630.5899820064597390.8200359870805220.410017993540261
640.5445720093710050.9108559812579890.455427990628995
650.5012952685445070.9974094629109860.498704731455493
660.4710740531533970.9421481063067940.528925946846603
670.4626635807593350.9253271615186710.537336419240665
680.5892642484559070.8214715030881850.410735751544093
690.7275859977091130.5448280045817740.272414002290887
700.6908095009078250.618380998184350.309190499092175
710.7890583356323140.4218833287353710.210941664367686
720.7542715186971540.4914569626056920.245728481302846
730.7424847394189420.5150305211621160.257515260581058
740.7155339142297690.5689321715404620.284466085770231
750.6756655803993360.6486688392013270.324334419600664
760.7393819875209760.5212360249580490.260618012479024
770.7020370210189730.5959259579620540.297962978981027
780.6858212171029170.6283575657941650.314178782897083
790.6885250407219890.6229499185560230.311474959278011
800.6464206626588910.7071586746822190.353579337341109
810.6057211921175560.7885576157648880.394278807882444
820.771470499092080.457059001815840.22852950090792
830.7354472023649970.5291055952700070.264552797635003
840.7056447776653170.5887104446693660.294355222334683
850.6650225922724730.6699548154550540.334977407727527
860.6592959786776190.6814080426447620.340704021322381
870.6155096398023850.768980720395230.384490360197615
880.5764516485748830.8470967028502340.423548351425117
890.5596926660186590.8806146679626820.440307333981341
900.5262770852715040.9474458294569910.473722914728496
910.5099358243539810.9801283512920380.490064175646019
920.4721333146793210.9442666293586420.527866685320679
930.4308511543152290.8617023086304580.569148845684771
940.3867251713534570.7734503427069150.613274828646543
950.3997811253189010.7995622506378010.600218874681099
960.366063369906940.7321267398138790.63393663009306
970.3273952887992460.6547905775984910.672604711200754
980.3287808122126560.6575616244253130.671219187787344
990.2871906570341820.5743813140683640.712809342965818
1000.2499385408861130.4998770817722260.750061459113887
1010.2263156589155870.4526313178311750.773684341084413
1020.2109405087160880.4218810174321760.789059491283912
1030.2578036557136660.5156073114273320.742196344286334
1040.2212439934455630.4424879868911260.778756006554437
1050.2161624382345920.4323248764691850.783837561765408
1060.2274301687101140.4548603374202280.772569831289886
1070.2061070954374250.412214190874850.793892904562575
1080.1843964847385660.3687929694771320.815603515261434
1090.1779848497046430.3559696994092870.822015150295357
1100.1684850172684120.3369700345368240.831514982731588
1110.150239580593380.300479161186760.84976041940662
1120.1259658819378240.2519317638756480.874034118062176
1130.1457364263799490.2914728527598990.854263573620051
1140.1266929949137280.2533859898274570.873307005086271
1150.1599157359682130.3198314719364260.840084264031787
1160.1514010279841680.3028020559683370.848598972015832
1170.1313979207115350.2627958414230690.868602079288465
1180.1138506177543120.2277012355086240.886149382245688
1190.1176009141922980.2352018283845950.882399085807702
1200.1106393509032840.2212787018065680.889360649096716
1210.09365159437632410.1873031887526480.906348405623676
1220.07560006288143240.1512001257628650.924399937118568
1230.08417026820967070.1683405364193410.915829731790329
1240.06847620243932780.1369524048786560.931523797560672
1250.05592659533400860.1118531906680170.944073404665991
1260.04280570319530490.08561140639060980.957194296804695
1270.03251415997340040.06502831994680080.9674858400266
1280.02680762499264080.05361524998528160.973192375007359
1290.02083675794866030.04167351589732060.97916324205134
1300.02822872772562310.05645745545124610.971771272274377
1310.02442982875864230.04885965751728470.975570171241358
1320.03590857158858170.07181714317716340.964091428411418
1330.04001263727462890.08002527454925770.959987362725371
1340.05109564972760940.1021912994552190.948904350272391
1350.04103907664256230.08207815328512460.958960923357438
1360.02884803658692180.05769607317384370.971151963413078
1370.01980623411614030.03961246823228060.98019376588386
1380.01324879346829930.02649758693659870.986751206531701
1390.0241352826221850.048270565244370.975864717377815
1400.02094691629299830.04189383258599650.979053083707002
1410.5345635383124470.9308729233751070.465436461687553
1420.4734716873548140.9469433747096290.526528312645186
1430.4095938355858230.8191876711716460.590406164414177
1440.3517879570871390.7035759141742770.648212042912861
1450.2945808092671120.5891616185342240.705419190732888
1460.2950195224801510.5900390449603020.704980477519849
1470.3231902027568990.6463804055137990.676809797243101
1480.7930089530006570.4139820939986860.206991046999343
1490.7350377002221170.5299245995557650.264962299777883
1500.6161461711313410.7677076577373170.383853828868659
1510.8474374792064430.3051250415871140.152562520793557
1520.8480305265628350.3039389468743310.151969473437165


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level60.041958041958042OK
10% type I error level140.0979020979020979OK