Multiple Linear Regression - Estimated Regression Equation
Connected[t] = + 29.4474536129401 + 0.266840966518791Learning[t] + 0.133404339807184Happiness[t] -0.020419774909484Depression[t] -0.00518057911389828t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)29.44745361294013.4267198.593500
Learning0.2668409665187910.1208762.20760.0287250.014363
Happiness0.1334043398071840.1333791.00020.3187560.159378
Depression-0.0204197749094840.099707-0.20480.8379960.418998
t-0.005180579113898280.005692-0.91010.3641670.182083


Multiple Linear Regression - Regression Statistics
Multiple R0.249251727193792
R-squared0.0621264235090886
Adjusted R-squared0.0382315553182373
F-TEST (value)2.59999021601112
F-TEST (DF numerator)4
F-TEST (DF denominator)157
p-value0.0382364588771699
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.30998209050868
Sum Squared Residuals1720.08908599965


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14134.53382905695746.46617094304262
23935.8832085115383.11679148846203
33035.6834611286017-5.68346112860171
43134.7851605730388-3.7851605730388
53434.8629784124495-0.86297841244949
63535.0415435206165-0.0415435206165239
73935.89959363229183.1004063677082
83435.0516667111071-1.05166671110706
93634.9334692801911.06653071980896
103735.13387034286751.86612965713252
113835.72359873461522.27640126538481
123636.0260663849346-0.0260663849346261
133834.67730832318973.32269167681031
143935.49297355782843.50702644217162
153336.1031217244856-3.10312172448557
163234.9489627534674-2.94896275346742
173634.94378217435351.05621782564648
183836.73427877198361.26572122801642
193935.815623015323.18437698467997
203235.4823098580545-3.48230985805447
213235.8664566080118-3.86645660801184
223134.7845072258813-3.78450722588127
233936.02090211556432.97909788443574
243734.90755040746072.09244959253934
253935.89749181862993.10250818137008
264134.86591607087756.13408392912248
273635.48688535407620.513114645923851
283334.8663760291912-1.86637602919116
293335.2818605313127-2.28186053131272
303434.229800434842-0.229800434841987
313135.2401616209207-4.24016162092073
322733.911726473372-6.91172647337201
333735.07594406107181.92405593892815
343435.3172169604717-1.31721696047168
353434.604110558694-0.604110558694046
363233.0999507681104-1.0999507681104
372932.7164254109888-3.71642541098878
383634.7423929360691.25760706393098
392935.578542519426-6.57854251942604
403535.0397445810834-0.0397445810834052
413735.32179245649341.67820754350664
423434.8142354096016-0.814235409601641
433836.53261927905741.46738072094261
443534.27025689214510.729743107854889
453834.32633563775973.67366436224033
463733.34638826946323.65361173053676
473834.75702704877243.24297295122761
483334.9778478863583-1.97784788635831
493635.42463785373960.575362146260365
503834.43383708199743.56616291800264
513235.3829712302521-3.38297123025208
523234.4956209388483-2.49562093884829
533233.4748663076373-1.47486630763733
543434.7521330340437-0.75213303404371
553232.9403250140267-0.940325014026727
563734.64914251201882.35085748798115
573935.29062843084023.70937156915977
582935.2337226115571-6.23372261155709
593734.54106827159342.45893172840664
603534.70062978445080.299370215549164
613032.9923691054856-2.99236910548562
623834.88493229075873.11506770924133
633434.6129430320304-0.61294303203041
643134.4334539894815-3.43345398948151
653435.1157794581219-1.11577945812186
663534.75125769630980.248742303690194
673635.0238037740650.976196225935022
683035.2541264093057-5.25412640930568
693934.02769327559114.97230672440889
703535.0694567876429-0.0694567876428877
713833.35024584451854.64975415548146
723134.6383982612752-3.63839826127521
733435.6080167582483-1.60801675824826
743835.66409550386282.33590449613719
753434.8380045371875-0.838004537187481
763934.80290238550934.19709761449068
773735.32042118836951.67957881163055
783434.6999441503889-0.699944150388882
792834.2427284509709-6.24272845097091
803734.8529411914372.14705880856304
813335.0737297421185-2.07372974211846
823736.28973714379640.710262856203609
833535.1042081337096-0.10420813370963
843734.90433160315572.09566839684433
853234.7657466842346-2.76574668423459
863334.8735829569228-1.87358295692282
873834.46812478457853.53187521542148
883334.8836415736045-1.8836415736045
892934.683797329955-5.68379732995497
903333.4684113211128-0.468411321112791
913134.1805292146997-3.18052921469971
923634.93509655913211.06490344086793
933534.97072324293270.0292767570672889
943234.5244578076739-2.52445780767387
952933.9542898302626-4.95428983026263
963935.12942539521723.87057460478283
973734.48852858232712.51147141767288
983534.8522555573750.147744442624996
993735.24728799768271.75271200231734
1003234.4620365808263-2.46203658082629
1013835.25734661436432.74265338563566
1023734.46262568675762.53737431324238
1033636.1401054325856-0.140105432585559
1043234.1541180967513-2.15411809675127
1053334.8472969688375-1.84729696883748
1064033.17990812659576.82009187340434
1073835.33927999148312.66072000851692
1084134.83175523149586.16824476850422
1093634.17997272825541.82002727174455
1104332.92365030888110.076349691119
1113034.8570530439731-4.85705304397306
1123134.2978353307209-3.29783533072094
1133234.9079834973781-2.90798349737814
1143233.8871642923583-1.88716429235832
1153734.21001943068282.78998056931718
1163735.57991552088631.42008447911373
1173334.1588832964449-1.1588832964449
1183434.1741224922405-0.174122492240489
1193333.9837800462457-0.983780046245736
1203834.65660371723133.34339628276869
1213333.5840915589467-0.584091558946668
1223134.666662333913-3.66666233391299
1233834.05562251977843.94437748022164
1243734.91222416494932.08777583505072
1253334.5789432945881-1.57894329458814
1263134.5737950023787-3.57379500237867
1273934.89665014070324.10334985929683
1284435.38431194480798.61568805519212
1293335.0918383373613-2.09183833736128
1303533.71167794964331.28832205035669
1313234.5478921068092-2.54789210680918
1322832.2242703951684-4.22427039516844
1334034.82475940310525.17524059689477
1342733.6501160833688-6.65011608336875
1353734.23987676202092.76012323797911
1363234.594101939414-2.59410193941399
1372833.2044397540412-5.20443975404124
1383434.3169321015718-0.31693210157183
1393032.8033350871423-2.80333508714225
1403533.70071170832331.2992882916767
1413132.3409388086104-1.34093880861038
1423234.7781341910801-2.77813419108015
1433034.5578378856167-4.5578378856167
1443034.860370109745-4.86037010974499
1453134.7217529039195-3.72175290391948
1464033.26935064040956.73064935959049
1473235.3784780185365-3.37847801853645
1483633.35165113288322.6483488671168
1493234.3212373429518-2.32123734295183
1503532.95196264558412.04803735441587
1513833.22302796993054.77697203006947
1524234.04974032944167.95025967055838
1533434.8749719355439-0.874971935543934
1543534.27491467247280.725085327527151
1553533.19290071653341.80709928346657
1563332.67439340548260.325606594517413
1573634.59835891672871.40164108327132
1583233.6796385862563-1.67963858625628
1593334.9364209639443-1.93642096394434
1603434.4384948623251-0.438494862325095
1613233.0487681031435-1.04876810314349
1623433.48467238017450.515327619825462


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.9085084839289560.1829830321420880.091491516071044
90.8646916442451060.2706167115097870.135308355754893
100.8107134883737150.378573023252570.189286511626285
110.7283920771186330.5432158457627330.271607922881367
120.6575511536852230.6848976926295530.342448846314777
130.7006581272843060.5986837454313890.299341872715694
140.6313156356312950.737368728737410.368684364368705
150.6552338874156980.6895322251686030.344766112584302
160.6788343568148650.6423312863702710.321165643185135
170.6001458697592160.7997082604815680.399854130240784
180.55543190017130.8891361996574010.4445680998287
190.5557078800762530.8885842398474930.444292119923747
200.5983715445997240.8032569108005520.401628455400276
210.6062173026660870.7875653946678260.393782697333913
220.5780132723245070.8439734553509850.421986727675493
230.6053811828962630.7892376342074750.394618817103737
240.5786413673311850.8427172653376290.421358632668815
250.5632443978225470.8735112043549050.436755602177453
260.6874497956678160.6251004086643670.312550204332183
270.6286175045778880.7427649908442230.371382495422112
280.5985641151558480.8028717696883030.401435884844152
290.5656830444575320.8686339110849350.434316955542468
300.5041335471822680.9917329056354640.495866452817732
310.5227225779073680.9545548441852640.477277422092632
320.6070220898031910.7859558203936180.392977910196809
330.6109024660885960.7781950678228080.389097533911404
340.555205268397510.889589463204980.44479473160249
350.5020574388189170.9958851223621660.497942561181083
360.4581992243592110.9163984487184220.541800775640789
370.422006633651330.844013267302660.57799336634867
380.3971754161515340.7943508323030680.602824583848466
390.5043879113741070.9912241772517860.495612088625893
400.4537738502120260.9075477004240510.546226149787974
410.431231129758910.8624622595178210.56876887024109
420.3870810710318320.7741621420636650.612918928968168
430.3468301100181830.6936602200363650.653169889981817
440.3155611312653740.6311222625307480.684438868734626
450.3477105174901410.6954210349802820.652289482509859
460.3838743611102720.7677487222205440.616125638889728
470.387659040663290.775318081326580.61234095933671
480.3514413360311050.7028826720622090.648558663968895
490.3150253594446810.6300507188893620.684974640555319
500.3235651498234770.6471302996469540.676434850176523
510.3227379592423410.6454759184846820.677262040757659
520.2943841227402140.5887682454804280.705615877259786
530.2559210632200640.5118421264401280.744078936779936
540.2182223644036790.4364447288073590.781777635596321
550.184340223514270.368680447028540.81565977648573
560.1771983779110060.3543967558220130.822801622088994
570.1947689900849210.3895379801698430.805231009915079
580.2932988106779310.5865976213558620.706701189322069
590.2747848226981960.5495696453963920.725215177301804
600.2366485114505560.4732970229011110.763351488549444
610.2217408426980760.4434816853961520.778259157301924
620.2197733092645680.4395466185291350.780226690735432
630.1878761538012150.375752307602430.812123846198785
640.1824341028726940.3648682057453880.817565897127306
650.1543666590390380.3087333180780770.845633340960962
660.128695657989990.2573913159799810.87130434201001
670.1085561783378080.2171123566756160.891443821662192
680.1444454377548020.2888908755096030.855554562245198
690.2002386170165090.4004772340330190.799761382983491
700.1697671884657320.3395343769314630.830232811534268
710.2096944168680820.4193888337361650.790305583131918
720.2095082115727380.4190164231454750.790491788427262
730.1826691369956690.3653382739913380.817330863004331
740.1698517913675070.3397035827350140.830148208632493
750.1431177845689160.2862355691378310.856882215431084
760.166659099014390.333318198028780.83334090098561
770.1470764504678160.2941529009356320.852923549532184
780.1227093629512390.2454187259024780.877290637048761
790.1854122794423690.3708245588847380.814587720557631
800.169798631180650.3395972623612990.83020136881935
810.1510054370601460.3020108741202910.848994562939854
820.127097424737220.254194849474440.87290257526278
830.1046679855960560.2093359711921130.895332014403944
840.09392760342077150.1878552068415430.906072396579229
850.08663455375624840.1732691075124970.913365446243752
860.07399655718078490.147993114361570.926003442819215
870.07775015307413720.1555003061482740.922249846925863
880.06618933935614710.1323786787122940.933810660643853
890.09614383857544720.1922876771508940.903856161424553
900.07896844270996870.1579368854199370.921031557290031
910.07972050335819180.1594410067163840.920279496641808
920.0660174537157640.1320349074315280.933982546284236
930.05298616506559540.1059723301311910.947013834934405
940.04932648560180040.09865297120360080.9506735143982
950.06762422172339050.1352484434467810.93237577827661
960.07205584579592420.1441116915918480.927944154204076
970.06514384040472740.1302876808094550.934856159595273
980.0517939158259860.1035878316519720.948206084174014
990.04308951484266130.08617902968532270.956910485157339
1000.04035856010413490.08071712020826980.959641439895865
1010.03600153371669390.07200306743338770.963998466283306
1020.03173753154571640.06347506309143290.968262468454284
1030.02422483877488050.0484496775497610.97577516122512
1040.0210896044172940.0421792088345880.978910395582706
1050.01786814575291440.03573629150582880.982131854247086
1060.0381087210131830.0762174420263660.961891278986817
1070.03365078748660090.06730157497320180.966349212513399
1080.05865857772651810.1173171554530360.941341422273482
1090.05081519036637460.1016303807327490.949184809633625
1100.3315597002846080.6631194005692150.668440299715392
1110.3540248858192050.7080497716384110.645975114180795
1120.3328522447160170.6657044894320350.667147755283983
1130.3120416174285430.6240832348570860.687958382571457
1140.2774307306152920.5548614612305830.722569269384708
1150.2592979879326420.5185959758652840.740702012067358
1160.2300794599536820.4601589199073650.769920540046318
1170.194826925817090.389653851634180.80517307418291
1180.1613461925734230.3226923851468460.838653807426577
1190.138884021658530.2777680433170610.861115978341469
1200.1632233872009050.3264467744018110.836776612799095
1210.1336176709892310.2672353419784630.866382329010769
1220.1231014203724570.2462028407449140.876898579627543
1230.129403330147340.2588066602946790.87059666985266
1240.1113677018873280.2227354037746560.888632298112672
1250.09022538801853080.1804507760370620.909774611981469
1260.0876973320953870.1753946641907740.912302667904613
1270.09110180139159580.1822036027831920.908898198608404
1280.385631464826040.7712629296520790.61436853517396
1290.3380781897869610.6761563795739230.661921810213039
1300.3135287434385470.6270574868770930.686471256561453
1310.2708910666207410.5417821332414820.729108933379259
1320.2711089920671450.5422179841342890.728891007932855
1330.4647861464610520.9295722929221040.535213853538948
1340.5661040592975170.8677918814049660.433895940702483
1350.6229040641182840.7541918717634310.377095935881716
1360.5665055062917380.8669889874165250.433494493708262
1370.5870005498620250.825998900275950.412999450137975
1380.5339666330314130.9320667339371740.466033366968587
1390.5406521317727010.9186957364545990.4593478682273
1400.4831452978489710.9662905956979410.516854702151029
1410.5485185012859650.9029629974280690.451481498714035
1420.4876429043370890.9752858086741790.512357095662911
1430.5197809070649920.9604381858700170.480219092935008
1440.5773659270811040.8452681458377930.422634072918896
1450.6691382355826570.6617235288346850.330861764417343
1460.6918799300631180.6162401398737640.308120069936882
1470.8135939714089640.3728120571820730.186406028591036
1480.7447689314664640.5104621370670720.255231068533536
1490.8259581492387380.3480837015225250.174041850761262
1500.8284944565468550.343011086906290.171505543453145
1510.8691773711684220.2616452576631560.130822628831578
1520.9971845142697230.005630971460554110.00281548573027705
1530.9883745490976430.02325090180471390.0116254509023569
1540.9557210083789290.08855798324214290.0442789916210714


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.00680272108843537OK
5% type I error level50.0340136054421769OK
10% type I error level130.0884353741496599OK