Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 14.8142535198111 + 0.0562934670907469Learning[t] + 0.0478898476578772Connected[t] -0.341950967442765Depression[t] + 0.0264152274333828`Belonging `[t] -1.04946913607642M1[t] -0.72472249767663M2[t] + 0.00254117037458653M3[t] -1.16696732931539M4[t] -0.065593006997021M5[t] -1.20991410656088M6[t] + 0.0952095811044339M7[t] -0.92323399118414M8[t] + 0.306604585858594M9[t] -0.964929050551642M10[t] -1.11710048861157M11[t] -0.0018864249031574t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14.81425351981112.4015786.168500
Learning0.05629346709074690.0738540.76220.4471650.223582
Connected0.04788984765787720.0485850.98570.3259250.162963
Depression-0.3419509674427650.055195-6.195400
`Belonging `0.02641522743338280.0156971.68280.0945640.047282
M1-1.049469136076420.754703-1.39060.1664860.083243
M2-0.724722497676630.752213-0.96350.3369240.168462
M30.002541170374586530.7681750.00330.9973650.498683
M4-1.166967329315390.754424-1.54680.1240830.062042
M5-0.0655930069970210.755473-0.08680.9309310.465466
M6-1.209914106560880.754338-1.60390.1109030.055451
M70.09520958110443390.763110.12480.9008820.450441
M8-0.923233991184140.770852-1.19770.2329960.116498
M90.3066045858585940.7675530.39950.6901440.345072
M10-0.9649290505516420.766731-1.25850.2102340.105117
M11-1.117100488611570.767795-1.45490.1478450.073923
t-0.00188642490315740.003412-0.55280.5812290.290614


Multiple Linear Regression - Regression Statistics
Multiple R0.616433194817533
R-squared0.379989883672951
Adjusted R-squared0.311574974285138
F-TEST (value)5.55419698824659
F-TEST (DF numerator)16
F-TEST (DF denominator)145
p-value3.63666030622767e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.93955402328856
Sum Squared Residuals545.471122341953


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11413.75479222964030.245207770359684
21815.36440662183782.63559337816221
31114.2734981863412-3.27349818634124
41213.6351364033619-1.63513640336191
51611.98217871657564.01782128342443
61813.95795673452734.04204326547267
71411.71062383020332.28937616979674
81414.7003425089309-0.700342508930904
91516.151240492138-1.15124049213796
101514.00898129811170.99101870188834
111715.06420533452561.93579466547437
121916.10716095196932.89283904803074
131013.1013262708401-3.10132627084006
141613.47062934280342.52937065719664
151816.20446734216761.79553265783241
161412.73875017039591.26124982960407
171414.4788563248102-0.478856324810153
181715.07914669007491.92085330992511
191416.025672375355-2.02567237535501
201613.34676701601472.65323298398533
211816.86416201971131.13583798028872
221113.2020257935074-2.20202579350743
231413.91405586389780.085944136102234
241214.1335383509994-2.13353835099942
251715.05256567775611.94743432224387
26915.9966161568537-6.99661615685375
271615.63668785000260.363312149997389
281412.71261945354041.28738054645964
291514.44808883238950.551911167610472
301113.2885676870744-2.28856768707445
311616.2156307003588-0.215630700358756
321312.09635919333870.903640806661264
331716.07461045981990.925389540180092
341514.77155477890560.228445221094412
351413.55685577254160.443144227458352
361615.81274502621280.187254973787242
37910.4718668947516-1.47186689475155
381514.30205946922550.697940530774509
391715.62077278500231.37922721499765
401314.5518103543228-1.5518103543228
411516.2211050516634-1.22110505166344
421613.13530144026092.86469855973915
431616.4648449247546-0.464844924754555
441212.8585483225214-0.858548322521357
451215.7050817863304-3.70508178633036
461113.5045743137679-2.50457431376794
471514.85584488720590.144155112794118
481515.368153519164-0.368153519163958
491713.12254187104433.87745812895568
501314.8228139428797-1.82281394287965
511615.63614431940460.363855680595442
521412.8522824536921.14771754630804
531112.3657186374211-1.36571863742109
541212.8818533189705-0.881853318970485
551214.7475247465433-2.74752474654334
561514.24955831228590.750441687714062
571615.29109567161320.708904328386767
581514.72167441145840.278325588541553
591214.7109822598252-2.71098225982516
601213.9977095757946-1.9977095757946
61810.3229172045813-2.32291720458132
621314.6236432656473-1.62364326564726
631115.1574611181638-4.15746111816381
641412.38552709569541.61447290430455
651514.13605289257530.863947107424682
661014.4647265310104-4.4647265310104
671113.4506281197972-2.45062811979724
681214.0376204659057-2.03762046590575
691514.75271720264510.247282797354854
701513.32945201622081.67054798377924
711413.27042340626280.729576593737176
721613.24828251320962.75171748679042
731513.96288343915351.03711656084651
741515.1861732164093-0.18617321640933
751315.6616815788024-2.66168157880236
761211.94476071031370.055239289686289
771714.67972897564522.32027102435482
781311.99563281100011.00436718899991
791514.42177627578090.578223724219132
801314.7615889475855-1.76158894758553
811515.7744604600426-0.774460460042635
821613.96537848093072.03462151906925
831514.91534234650040.0846576534996258
841615.09702019097230.90297980902773
851513.77980016426991.22019983573008
861413.99696886223930.00303113776067021
871514.79637795462850.203622045371485
881413.681580328770.318419671230044
891313.1674275217246-0.167427521724624
90710.1854727876331-3.18547278763314
911714.38085434309232.61914565690767
921312.69564966352390.30435033647608
931515.1108706667682-0.110870666768206
941413.08566179767180.914338202328181
951314.3322718399007-1.33227183990066
961615.75331381401730.246686185982674
971212.605856218741-0.605856218740962
981414.7804286210361-0.780428621036108
991715.68083124180011.31916875819993
1001514.36727497501190.632725024988095
1011715.86668889255591.13331110744413
1021212.5416400334742-0.541640033474242
1031615.70694791591320.293052084086837
1041114.0536528388447-3.05365283884468
1051514.0194314251530.980568574846966
106911.595939492077-2.59593949207704
1071614.51820536117041.48179463882964
1081513.87896452638091.12103547361908
1091012.4810518281872-2.48105182818722
110109.625086580474060.374913419525941
1111514.32352753446210.676472465537871
1121112.646749670617-1.64674967061704
1131315.5880379366193-2.5880379366193
1141411.52809130234912.47190869765091
1151815.04411588110672.95588411889327
1161615.30960089567880.690399104321161
1171413.90772864118460.0922713588153874
1181413.4467930339060.553206966094015
1191414.5299404985319-0.529940498531948
1201414.5564981732464-0.55649817324644
1211212.1458647851035-0.145864785103458
1221413.46491167553380.535088324466238
1231515.725888309977-0.72588830997699
1241515.3579388846925-0.357938884692536
1251515.1044753397571-0.104475339757052
1261314.0772729516653-1.07727295166532
1271717.0237559326953-0.0237559326952548
1281715.24891653415481.75108346584525
1291915.68044905246713.3195509475329
1301513.41228930341121.58771069658876
1311313.9972224732897-0.997222473289658
132911.3734814996703-2.37348149967029
1331514.94464208932460.0553579106754226
1341512.39302284849142.6069771515086
1351514.97347545162850.0265245483715351
1361613.14634464041822.85365535958178
1371110.12450113790080.875498862099166
1381412.69351538744791.3064846125521
1391112.6583804094296-1.65838040942959
1401513.90770022916561.09229977083436
1411314.5090442920349-1.50904429203487
1421514.02153533849010.978464661509882
1431613.1400572663512.85994273364905
1441415.1045906539932-1.10459065399316
1451513.80709442668031.19290557331973
1461614.88213616319671.11786383680333
1471614.98939343773091.01060656226906
1481112.9634959619387-1.96349596193869
1491215.1204352163809-3.12043521638091
150911.1605786392064-2.1605786392064
1511615.14924454496990.850755455030106
1521312.73369507204930.266304927950715
1531616.1591078300916-0.159107830091647
1541213.9341399415412-1.93413994154122
155911.1945926899971-2.19459268999714
1561312.568541204370.43145879562998
1571312.44679689992640.553203100073588
1581413.09110323337210.908896766627947
1591915.31979288988843.68020711011163
1601315.0157288972295-2.01572889722954
1611212.7167045239811-0.716704523981125
1621312.01024368530540.989756314694604


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.8078531125347910.3842937749304180.192146887465209
210.9429386789454380.1141226421091230.0570613210545616
220.9320189797639630.1359620404720750.0679810202360373
230.9001484937072930.1997030125854140.0998515062927068
240.9817914184932830.03641716301343460.0182085815067173
250.9920334445882220.01593311082355640.00796655541177822
260.9999475648663860.0001048702672273145.24351336136572e-05
270.9999163077172580.0001673845654844068.36922827422029e-05
280.9998665524103640.0002668951792722480.000133447589636124
290.9997446362960590.0005107274078829070.000255363703941454
300.99988634033240.000227319335199750.000113659667599875
310.9997885398641590.000422920271682410.000211460135841205
320.9996337926311760.000732414737648030.000366207368824015
330.9994324667841550.001135066431689320.000567533215844662
340.9991616285052420.001676742989516630.000838371494758313
350.9986537146437750.002692570712450360.00134628535622518
360.9978075454931780.004384909013644160.00219245450682208
370.996626919724320.00674616055136050.00337308027568025
380.9960733639457960.007853272108408420.00392663605420421
390.9963011555616270.007397688876745790.00369884443837289
400.9945555252667060.01088894946658770.00544447473329384
410.991894251227710.01621149754457860.00810574877228931
420.9937470316054170.01250593678916690.00625296839458347
430.991725338442760.01654932311448250.00827466155724124
440.9883904009922640.02321919801547150.0116095990077357
450.992501714351080.01499657129784180.0074982856489209
460.9910471773455190.01790564530896260.00895282265448132
470.9872645556809690.02547088863806240.0127354443190312
480.981820961797070.0363580764058610.0181790382029305
490.996031761973550.007936476052901280.00396823802645064
500.994785359868480.01042928026303910.00521464013151955
510.9930877551114020.01382448977719560.00691224488859782
520.9921219027594230.01575619448115320.00787809724057661
530.9896753426538010.02064931469239770.0103246573461989
540.9864735316196790.02705293676064280.0135264683803214
550.9869624698602980.02607506027940410.0130375301397021
560.9836808464225480.03263830715490460.0163191535774523
570.9797101444497010.04057971110059750.0202898555502987
580.9765124421599930.04697511568001470.0234875578400074
590.9795025266404170.04099494671916510.0204974733595826
600.97885190233680.04229619532640010.0211480976632
610.9767743495370120.04645130092597570.0232256504629878
620.972082589121480.05583482175704080.0279174108785204
630.9858931107739770.02821377845204520.0141068892260226
640.9873175164163880.02536496716722420.0126824835836121
650.9852821184108950.02943576317821010.0147178815891051
660.9955396647615250.008920670476950550.00446033523847527
670.9959522919265210.0080954161469580.004047708073479
680.9954150216813230.009169956637353880.00458497831867694
690.9943756410784750.01124871784304960.00562435892152478
700.995238254482030.009523491035941510.00476174551797076
710.9940064518794930.01198709624101480.00599354812050742
720.9963384534266680.007323093146664680.00366154657333234
730.9958770295335120.008245940932976250.00412297046648813
740.9949402448304260.01011951033914890.00505975516957444
750.9963312884431180.007337423113763650.00366871155688183
760.9948676159255130.01026476814897320.00513238407448659
770.996477033585980.007045932828038360.00352296641401918
780.9957298853769580.008540229246084320.00427011462304216
790.994581131304870.01083773739025890.00541886869512947
800.994276564234220.0114468715315620.005723435765781
810.992458578183870.0150828436322610.00754142181613052
820.9925117505529250.01497649889415090.00748824944707547
830.9895229187544320.0209541624911350.0104770812455675
840.986902640771510.02619471845697850.0130973592284893
850.985225858548770.02954828290245860.0147741414512293
860.9806590376191440.03868192476171250.0193409623808563
870.9765458892946070.04690822141078680.0234541107053934
880.9696300236925890.06073995261482270.0303699763074113
890.9608613182422960.07827736351540760.0391386817577038
900.9721148412627170.05577031747456670.0278851587372834
910.9793482657515590.04130346849688270.0206517342484414
920.972584126869750.05483174626049950.0274158731302497
930.9640664881121730.07186702377565330.0359335118878266
940.9577653633843250.08446927323135080.0422346366156754
950.9495695949512240.1008608100975530.0504304050487764
960.935265919039180.1294681619216410.0647340809608204
970.9171926401659490.1656147196681020.0828073598340508
980.9109221827219480.1781556345561050.0890778172780523
990.8986789947800010.2026420104399980.101321005219999
1000.8814714832261020.2370570335477960.118528516773898
1010.877031426779410.2459371464411790.12296857322059
1020.8498121638032640.3003756723934720.150187836196736
1030.8184753889327320.3630492221345360.181524611067268
1040.8848717278127270.2302565443745460.115128272187273
1050.8612276954056020.2775446091887960.138772304594398
1060.8736227592007470.2527544815985060.126377240799253
1070.8629827639871150.2740344720257690.137017236012885
1080.8667797606238560.2664404787522880.133220239376144
1090.8857135053707280.2285729892585450.114286494629272
1100.8605297880822730.2789404238354540.139470211917727
1110.835081295413110.329837409173780.16491870458689
1120.8324667942012820.3350664115974360.167533205798718
1130.8481600483436560.3036799033126870.151839951656344
1140.8870554771780040.2258890456439920.112944522821996
1150.9216391856445250.1567216287109490.0783608143554746
1160.9112976933113170.1774046133773660.0887023066886829
1170.8833651006950170.2332697986099670.116634899304983
1180.8505918439755210.2988163120489580.149408156024479
1190.8107245732483690.3785508535032620.189275426751631
1200.7668713277838750.4662573444322510.233128672216125
1210.7179308107613850.5641383784772290.282069189238615
1220.7110196148311090.5779607703377820.288980385168891
1230.7295128944462870.5409742111074260.270487105553713
1240.6693499900476870.6613000199046250.330650009952313
1250.6183454688656620.7633090622686760.381654531134338
1260.6363337049454890.7273325901090220.363666295054511
1270.5706514772909370.8586970454181260.429348522709063
1280.5320365697675780.9359268604648450.467963430232422
1290.5819600374123560.8360799251752880.418039962587644
1300.5324033354284530.9351933291430950.467596664571547
1310.4663207263094820.9326414526189640.533679273690518
1320.4832153505114750.966430701022950.516784649488525
1330.3992286947348460.7984573894696920.600771305265154
1340.336475949304360.6729518986087210.66352405069564
1350.3043953293373480.6087906586746970.695604670662652
1360.3889042452737120.7778084905474230.611095754726288
1370.563930727263410.872138545473180.43606927273659
1380.5725023622195670.8549952755608670.427497637780433
1390.465717969539570.931435939079140.53428203046043
1400.4185834978273640.8371669956547290.581416502172636
1410.6519833371474330.6960333257051340.348016662852567
1420.5112050161627390.9775899676745220.488794983837261


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.195121951219512NOK
5% type I error level640.520325203252033NOK
10% type I error level710.577235772357724NOK