Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 11.6793082170166 + 0.125931034495547Connected[t] -0.00830024796043488Seperate[t] + 0.0591546588127821Happiness[t] -0.126646215144289Depression[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11.67930821701662.6795114.35872.4e-051.2e-05
Connected0.1259310344955470.0550182.28890.0234170.011709
Seperate-0.008300247960434880.052293-0.15870.8740890.437045
Happiness0.05915465881278210.0883910.66920.5043240.252162
Depression-0.1266462151442890.064714-1.9570.052120.02606


Multiple Linear Regression - Regression Statistics
Multiple R0.302949330488019
R-squared0.0917782968431387
Adjusted R-squared0.0686388903932824
F-TEST (value)3.96632027022925
F-TEST (DF numerator)4
F-TEST (DF denominator)157
p-value0.00428666417746926
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.17745102097476
Sum Squared Residuals744.382992952811


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11315.835481850485-2.83548185048501
21615.99668611965190.0033138803480847
31914.04438480818834.95561519181165
41514.49936342770610.500636572293877
51413.94075823830350.0592417616964509
61315.3912165104067-2.39121651040674
71914.3752593657744.62474063422596
81515.0972113200813-0.0972113200813124
91415.5431745109899-1.54317451098991
101515.2642661561713-0.264266156171287
111615.94654688944830.0534531105516905
121616.0413858244901-0.0413858244900537
131614.86603221019561.13396778980435
141615.44863666883090.551363331169127
151715.32624488802071.67375511197925
161514.49031134953870.509688650461344
171515.0023357354813-0.00233573548127787
182015.7617989385814.23820106141902
191815.83691221178252.16308778821753
201614.74356713026891.25643286973106
211615.61345349079980.386546509200192
221614.20351683452561.79648316547437
231915.58361978149393.41638021850611
241614.95185571662821.04814428337178
251715.93753146083911.06246853916087
261715.96944868961651.03055131038345
271615.47568295465840.524317045341595
281514.45639517704820.543604822951826
291614.6753970428471.32460295715302
301414.6913556572357-0.691355657235692
311515.1574219481923-0.157421948192293
321213.6831555510643-1.68315555106428
331415.8206158549528-1.82061585495276
341615.14806573093370.851934269066341
351414.8937203775553-0.893720377555343
36715.36849795803-8.36849795802995
371013.0734681570432-3.07346815704324
381415.3064825766222-1.3064825766222
391614.81316757898841.18683242101161
401615.31553465478970.684465345210329
411615.82065250451110.179347495488947
421414.8604827361553-0.860482736155313
432016.13238441296373.86761558703633
441414.7497951353997-0.749795135399732
451415.5490281241214-1.54902812412141
461115.0525482648015-4.05254826480146
471415.8884818032836-1.88848180328356
481515.0470354403194-0.0470354403194174
491615.00335200901270.996647990987274
501415.5749817910925-1.57498179109246
511615.07370428793920.926295712060798
521414.51521209342-0.51521209341996
531213.8062625125232-1.80626251252315
541614.5823628611021.41763713889799
55914.7602409253064-5.76024092530639
561415.4407138590782-1.44071385907819
571615.60848387581690.391516124183098
581614.79660373262581.20339626737419
591515.4833413210867-0.483341321086678
601614.6148486722951.38515132770499
611213.1651452766073-1.16514527660731
621615.43173508002730.568264919972702
631614.80140137645911.19859862354089
641414.3477798191222-0.347779819122239
651614.94457478840771.05542521159231
661714.97822347136532.0217765286347
671814.42003236972883.57996763027124
681814.42323388097323.57676611902681
691215.4995277292415-3.49952772924151
701614.89405811999631.10594188000366
711015.3476430277749-5.34764302777492
721414.3145421777222-0.314542177722209
731814.87817280472423.12182719527579
741815.74523509221842.2547649077816
751615.11275889291240.887241107087556
761714.64518894154182.35481105845822
771615.39087572175730.609124278242714
781614.3196806102051.68031938979503
791314.1889885814344-1.18898858143441
801615.74384442668770.256155573312337
811615.03043494439850.969565055601453
822015.70335946041694.29664053958306
831615.52728919571780.472710804282215
841515.4915682699305-0.491568269930532
851514.79445819067960.205541809320419
861614.75948909509941.24051090490064
871415.3818969427064-1.3818969427064
881614.86123456636231.13876543363765
891613.93501762005542.06498237994462
901513.18899005119041.81100994880959
911214.6435897627444-2.64358976274444
921714.81653486152422.18346513847579
931614.98750334329891.01249665670111
941514.40516637419650.594833625803459
951314.5848491916977-1.58484919169769
961615.84517581018460.154824189815389
971614.73176427818141.26823572181862
981615.2646435943790.735356405620966
991615.66906889592720.330931104072831
1001415.0311501250473-1.03115012504729
1011615.90504564964610.0949543503538648
1021614.73176427818141.26823572181862
1032015.33243624359324.66756375640675
1041514.73428725833540.265712741664649
1051614.37230312479581.6276968752042
1061314.5770555036781-1.57705550367811
1071715.72754502364951.2724549763505
1081615.37975140076020.620248599239828
1091614.61417014120461.38582985879544
1101214.2977697106517-2.29776971065174
1111614.28930369139991.71069630860009
1121614.06027012346051.93972987653953
1131714.74469335247532.25530664752474
1141314.3636651343944-1.36366513439437
1151215.6015773395957-3.60157733959566
1161815.75316094817952.24683905182045
1171414.5581406483112-0.558140648311159
1181414.810717897951-0.810717897950994
1191315.2328729638348-2.23287296383478
1201615.09435059748630.905649402513657
1211314.3380858594226-1.33808585942261
1221614.41418180280571.58581819719428
1231315.635189372995-2.63518937299498
1241615.89749723189270.102502768107267
1251515.0719361842007-0.0719361842007219
1261614.68516430166321.31483569833681
1271516.317470106272-1.317470106272
1281716.63573111273810.364268887261888
1291515.2670535796497-0.267053579649676
1301215.0539053269824-3.05390532698237
1311614.81109533615871.18890466384126
1321012.9392368745873-2.93923687458726
1331616.0302981530512-0.03029815305123
1341213.8180653646107-1.81806536461072
1351415.3909123713156-1.39091237131558
1361514.6418216590060.358178340994041
1371312.76061002638430.239389973615697
1381514.72557292260890.27442707739112
1391113.7910923778998-2.79109237789977
1401215.2988975093105-3.29889750931051
141814.541917590598-6.54191759059804
1421615.04775062096820.95224937903184
1431514.34845835021270.651541649787309
1441714.47514121491532.52485878508473
1451614.75982988374881.24017011625118
1461016.0126080844823-6.01260808448233
1471814.91171458521543.08828541478459
1481314.9183169823455-1.91831698234548
1491614.76854117326681.23145882673317
1501313.9474003312004-0.947400331200374
1511015.5676978166635-5.56769781666347
1521515.2773273984067-0.277327398406735
1531615.45221257207460.547787427925415
1541614.95328607792571.0467139220743
1551413.93079983527950.0692001647204952
1561014.0671033605651-4.06710336056513
1571714.81653486152422.18346513847579
1581314.4571103576969-1.45711035769692
1591515.2670535796497-0.267053579649676
1601615.32455008339880.675449916601152
1611213.8488166754151-1.84881667541507
1621314.4048255855471-1.40482558554708


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.7297123389635010.5405753220729990.270287661036499
90.5834388585788410.8331222828423170.416561141421159
100.481669633249460.963339266498920.51833036675054
110.4032292040493520.8064584080987050.596770795950648
120.5126803212821620.9746393574356760.487319678717838
130.4179666073525350.8359332147050690.582033392647465
140.3681179759895460.7362359519790920.631882024010454
150.3942978840406590.7885957680813180.605702115959341
160.3334164659893320.6668329319786640.666583534010668
170.2669143613488190.5338287226976380.733085638651181
180.5742533629304040.8514932741391910.425746637069596
190.5620219714733030.8759560570533930.437978028526697
200.4885838612673130.9771677225346270.511416138732687
210.4160750275975470.8321500551950950.583924972402453
220.3492761560416410.6985523120832820.650723843958359
230.3907611593980140.7815223187960280.609238840601986
240.3342095269994670.6684190539989330.665790473000533
250.2916053137163520.5832106274327040.708394686283648
260.2382647761075950.476529552215190.761735223892405
270.1887101155675310.3774202311350610.811289884432469
280.1568402854703630.3136805709407260.843159714529637
290.1225444550443540.2450889100887070.877455544955646
300.1184459715999920.2368919431999850.881554028400008
310.08927464008604810.1785492801720960.910725359913952
320.1090381563722020.2180763127444040.890961843627798
330.1017962699140880.2035925398281750.898203730085912
340.07759020911383620.1551804182276720.922409790886164
350.06327997803346110.1265599560669220.936720021966539
360.6515914989250850.696817002149830.348408501074915
370.7508420551719140.4983158896561720.249157944828086
380.7232614399380240.5534771201239510.276738560061976
390.7200959384904270.5598081230191470.279904061509573
400.6787803069006950.6424393861986090.321219693099305
410.6304736831077860.7390526337844290.369526316892214
420.5898973679265890.8202052641468210.410102632073411
430.7004668127408620.5990663745182750.299533187259138
440.6646152973862230.6707694052275540.335384702613777
450.6348623197345550.730275360530890.365137680265445
460.7673683215494250.465263356901150.232631678450575
470.7706646580111740.4586706839776510.229335341988826
480.7304288963590280.5391422072819440.269571103640972
490.6930956650864920.6138086698270160.306904334913508
500.6698477651276970.6603044697446050.330152234872303
510.6297518463622070.7404963072755860.370248153637793
520.5829813438647740.8340373122704530.417018656135226
530.5700514176083720.8598971647832560.429948582391628
540.5345956278101940.9308087443796110.465404372189806
550.7597423284959050.480515343008190.240257671504095
560.7372816689731210.5254366620537580.262718331026879
570.6981781105330390.6036437789339220.301821889466961
580.6795838597915530.6408322804168950.320416140208447
590.6390267999923160.7219464000153680.360973200007684
600.6106170173060940.7787659653878130.389382982693906
610.5735717911242040.8528564177515910.426428208875796
620.5288841853612880.9422316292774240.471115814638712
630.4973040211664060.9946080423328110.502695978833594
640.4518228563635950.9036457127271910.548177143636405
650.4204581690625230.8409163381250460.579541830937477
660.4085684252198490.8171368504396980.591431574780151
670.4698864575763210.9397729151526410.530113542423679
680.5948007349762810.8103985300474390.405199265023719
690.6898640983054880.6202718033890240.310135901694512
700.6569157076449940.6861685847100110.343084292355006
710.8414952829095190.3170094341809620.158504717090481
720.8140689001734150.3718621996531690.185931099826585
730.8409453659459680.3181092681080640.159054634054032
740.8392956621879730.3214086756240540.160704337812027
750.8176205760661460.3647588478677090.182379423933854
760.8209918318547840.3580163362904320.179008168145216
770.7935299885663650.4129400228672690.206470011433635
780.780423016841490.4391539663170210.21957698315851
790.7545570288670780.4908859422658440.245442971132922
800.7198911248614660.5602177502770690.280108875138534
810.6877195587961420.6245608824077160.312280441203858
820.7945685224257130.4108629551485740.205431477574287
830.7618723216541070.4762553566917850.238127678345893
840.7268042373831280.5463915252337430.273195762616872
850.6876718954903120.6246562090193760.312328104509688
860.6601289941770420.6797420116459170.339871005822958
870.6381493575865910.7237012848268180.361850642413409
880.6064174076210090.7871651847579820.393582592378991
890.602741226543220.794517546913560.39725877345678
900.591185489870060.8176290202598810.40881451012994
910.608659007437030.7826819851259390.39134099256297
920.6131689704010110.7736620591979790.386831029598989
930.5834014898845830.8331970202308330.416598510115417
940.54184453574380.91631092851240.4581554642562
950.5231397435179140.9537205129641720.476860256482086
960.478480602491790.956961204983580.52151939750821
970.4560212017554050.912042403510810.543978798244595
980.4153267617309570.8306535234619130.584673238269043
990.3727262323809190.7454524647618380.627273767619081
1000.3382478838651880.6764957677303760.661752116134812
1010.2972918949384460.5945837898768930.702708105061553
1020.2799489793524950.559897958704990.720051020647505
1030.4689422917204940.9378845834409880.531057708279506
1040.4232185865151480.8464371730302960.576781413484852
1050.4322642919699420.8645285839398830.567735708030058
1060.4107175206777190.8214350413554380.589282479322281
1070.3925685070850080.7851370141700160.607431492914992
1080.3934379335796550.7868758671593090.606562066420345
1090.3737248938561450.747449787712290.626275106143855
1100.3892114305414050.778422861082810.610788569458595
1110.3852345776818030.7704691553636060.614765422318197
1120.3815013855999250.7630027711998510.618498614400075
1130.4139264491466910.8278528982933830.586073550853309
1140.3763001611791410.7526003223582820.623699838820859
1150.4263043581062340.8526087162124680.573695641893766
1160.4385654611709290.8771309223418580.561434538829071
1170.4012353727504810.8024707455009620.598764627249519
1180.3619772623312530.7239545246625070.638022737668747
1190.3624712487554660.7249424975109310.637528751244534
1200.3656576025620560.7313152051241120.634342397437944
1210.3250565090717340.6501130181434670.674943490928266
1220.2985973236048510.5971946472097030.701402676395149
1230.2852896530375060.5705793060750110.714710346962494
1240.2430098165642490.4860196331284980.756990183435751
1250.201840755460710.4036815109214210.79815924453929
1260.1772220133372180.3544440266744360.822777986662782
1270.1536542367979580.3073084735959170.846345763202042
1280.1440065565108710.2880131130217420.855993443489129
1290.1183181381541760.2366362763083520.881681861845824
1300.1234730616598910.2469461233197820.876526938340109
1310.1032004342266930.2064008684533850.896799565773307
1320.1080531443933080.2161062887866160.891946855606692
1330.09134309624267950.1826861924853590.908656903757321
1340.08629419481058080.1725883896211620.913705805189419
1350.0672724331843060.1345448663686120.932727566815694
1360.05001120682634120.1000224136526820.949988793173659
1370.03606652104126720.07213304208253430.963933478958733
1380.02807768410815660.05615536821631330.971922315891843
1390.0316472164678770.0632944329357540.968352783532123
1400.03355689209441490.06711378418882980.966443107905585
1410.371447164429210.7428943288584190.62855283557079
1420.3046413013516610.6092826027033220.695358698648339
1430.244133878103990.488267756207980.75586612189601
1440.2191307312165980.4382614624331960.780869268783402
1450.1655947999919950.331189599983990.834405200008005
1460.5181640891850410.9636718216299180.481835910814959
1470.5072192160665830.9855615678668330.492780783933416
1480.5125244834789480.9749510330421050.487475516521052
1490.4125739646710790.8251479293421580.587426035328921
1500.321264489413830.642528978827660.67873551058617
1510.8495616766588940.3008766466822120.150438323341106
1520.9247978628549740.1504042742900530.0752021371450265
1530.8553985109043110.2892029781913780.144601489095689
1540.8006442147029740.3987115705940520.199355785297026


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 level40.0272108843537415OK