Multiple Linear Regression - Estimated Regression Equation
Connected[t] = + 31.7314276893716 + 0.206028458364907Happiness[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)31.73142768937161.60756719.738800
Happiness0.2060284583649070.1129771.82360.0700740.035037


Multiple Linear Regression - Regression Statistics
Multiple R0.142695535921038
R-squared0.0203620159717923
Adjusted R-squared0.0142392785716159
F-TEST (value)3.32563927553156
F-TEST (DF numerator)1
F-TEST (DF denominator)160
p-value0.0700735573932146
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.35101318488899
Sum Squared Residuals1796.68629844798


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14134.61582610648046.38417389351958
23935.43993993993993.56006006006006
33033.9977407313856-3.99774073138559
43134.2037691897505-3.2037691897505
53435.0278830232101-1.02788302321012
63535.4399399399399-0.439939939939938
73934.61582610648034.38417389351969
83434.6158261064803-0.615826106480312
93634.82185456484521.17814543515478
103734.82185456484522.17814543515478
113835.2339114815752.76608851842497
123635.64596839830480.354031601695155
133833.79171227302074.20828772697932
143935.02788302321013.97211697678988
153335.4399399399399-2.43993993993994
163234.6158261064803-2.61582610648031
173634.61582610648031.38417389351969
183835.2339114815752.76608851842497
193934.61582610648034.38417389351969
203235.0278830232101-3.02788302321012
213235.4399399399399-3.43993993993994
223133.9977407313856-2.99774073138559
233934.61582610648034.38417389351969
243734.20376918975052.7962308102495
253935.2339114815753.76608851842497
264133.58568381465587.41431618534422
273635.02788302321010.972116976789875
283334.6158261064803-1.61582610648031
293334.8218545648452-1.82185456484522
303433.99774073138560.00225926861440825
313135.0278830232101-4.02788302321012
322734.4097976481154-7.4097976481154
333735.2339114815751.76608851842497
343434.8218545648452-0.821854564845218
353434.6158261064803-0.615826106480312
363235.0278830232101-3.02788302321012
372933.5856838146558-4.58568381465578
383634.82185456484521.17814543515478
392935.233911481575-6.23391148157503
403534.40979764811540.590202351884595
413734.82185456484522.17814543515478
423435.0278830232101-1.02788302321012
433835.02788302321012.97211697678988
443534.20376918975050.796230810249502
453834.20376918975053.7962308102495
463733.99774073138563.00225926861441
473834.82185456484523.17814543515478
483334.8218545648452-1.82185456484522
493635.2339114815750.766088518424969
503834.40979764811543.59020235188459
513235.0278830232101-3.02788302321012
523234.6158261064803-2.61582610648031
533233.9977407313856-1.99774073138559
543434.2037691897505-0.203769189750498
553234.2037691897505-2.2037691897505
563734.82185456484522.17814543515478
573935.02788302321013.97211697678988
582934.8218545648452-5.82185456484522
593734.20376918975052.7962308102495
603534.20376918975050.796230810249502
613033.3796553562909-3.37965535629087
623834.40979764811543.59020235188459
633433.99774073138560.00225926861440825
643134.6158261064803-3.61582610648031
653434.8218545648452-0.821854564845218
663533.79171227302071.20828772697932
673633.99774073138562.00225926861441
683034.2037691897505-4.2037691897505
693934.82185456484524.17814543515478
703534.82185456484520.178145435154782
713834.61582610648033.38417389351969
723135.0278830232101-4.02788302321012
733434.8218545648452-0.821854564845218
743834.82185456484523.17814543515478
753434.4097976481154-0.409797648115405
763934.20376918975054.7962308102495
773735.2339114815751.76608851842497
783434.4097976481154-0.409797648115405
792834.8218545648452-6.82185456484522
803734.40979764811542.59020235188459
813334.8218545648452-1.82185456484522
823735.02788302321011.97211697678988
833534.82185456484520.178145435154782
843735.02788302321011.97211697678988
853234.8218545648452-2.82185456484522
863334.6158261064803-1.61582610648031
873834.82185456484523.17814543515478
883334.6158261064803-1.61582610648031
892934.4097976481154-5.4097976481154
903333.173626897926-0.173626897925965
913135.233911481575-4.23391148157503
923634.40979764811541.5902023518846
933534.82185456484520.178145435154782
943234.6158261064803-2.61582610648031
952934.4097976481154-5.4097976481154
963935.02788302321013.97211697678988
973734.20376918975052.7962308102495
983534.61582610648030.384173893519688
993735.2339114815751.76608851842497
1003234.8218545648452-2.82185456484522
1013835.2339114815752.76608851842497
1023734.20376918975052.7962308102495
1033635.02788302321010.972116976789875
1043233.9977407313856-1.99774073138559
1053334.8218545648452-1.82185456484522
1064033.58568381465586.41431618534422
1073835.02788302321012.97211697678988
1084134.82185456484526.17814543515478
1093633.79171227302072.20828772697932
1104333.79171227302079.20828772697931
1113034.8218545648452-4.82185456484522
1123133.9977407313856-2.99774073138559
1133234.4097976481154-2.40979764811541
1143234.6158261064803-2.61582610648031
1153735.43993993993991.56006006006006
1163735.02788302321011.97211697678988
1173334.6158261064803-1.61582610648031
1183434.6158261064803-0.615826106480312
1193334.6158261064803-1.61582610648031
1203834.61582610648033.38417389351969
1213334.2037691897505-1.2037691897505
1223134.6158261064803-3.61582610648031
1233834.82185456484523.17814543515478
1243734.82185456484522.17814543515478
1253334.8218545648452-1.82185456484522
1263134.4097976481154-3.4097976481154
1273935.2339114815753.76608851842497
1284435.2339114815758.76608851842497
1293335.6459683983048-2.64596839830484
1303534.82185456484520.178145435154782
1313234.4097976481154-2.40979764811541
1322833.5856838146558-5.58568381465578
1334034.82185456484525.17814543515478
1342734.8218545648452-7.82185456484522
1353734.82185456484522.17814543515478
1363235.0278830232101-3.02788302321012
1372833.9977407313856-5.99774073138559
1383434.6158261064803-0.615826106480312
1393033.9977407313856-3.99774073138559
1403534.82185456484520.178145435154782
1413134.4097976481154-3.4097976481154
1423234.8218545648452-2.82185456484522
1433035.0278830232101-5.02788302321012
1443034.6158261064803-4.61582610648031
1453134.8218545648452-3.82185456484522
1464035.02788302321014.97211697678988
1473235.0278830232101-3.02788302321012
1483633.99774073138562.00225926861441
1493234.2037691897505-2.2037691897505
1503533.58568381465581.41431618534422
1513835.02788302321012.97211697678988
1524234.40979764811547.5902023518846
1533435.0278830232101-1.02788302321012
1543534.20376918975050.796230810249502
1553533.58568381465581.41431618534422
1563334.4097976481154-1.4097976481154
1573634.40979764811541.5902023518846
1583234.6158261064803-2.61582610648031
1593335.6459683983048-2.64596839830484
1603434.4097976481154-0.409797648115405
1613234.2037691897505-2.2037691897505
1623434.4097976481154-0.409797648115405


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.8022348070796160.3955303858407680.197765192920384
60.7717059106759810.4565881786480370.228294089324018
70.8008593893742870.3982812212514270.199140610625713
80.7111459871136760.5777080257726490.288854012886324
90.6067238892340120.7865522215319770.393276110765988
100.5140928682105780.9718142635788440.485907131789422
110.4167936307907060.8335872615814110.583206369209294
120.3787580496588370.7575160993176740.621241950341163
130.4547384089188310.9094768178376620.545261591081169
140.4223952289753930.8447904579507860.577604771024607
150.4560594145544550.912118829108910.543940585445545
160.464750428823730.929500857647460.53524957117627
170.3888985353489640.7777970706979290.611101464651036
180.3364691295943290.6729382591886580.663530870405671
190.3460199018958040.6920398037916090.653980098104196
200.384480314131240.7689606282624790.61551968586876
210.4260574601048180.8521149202096360.573942539895182
220.4403715675763260.8807431351526520.559628432423674
230.4609346844677930.9218693689355870.539065315532207
240.4211763805198960.8423527610397920.578823619480104
250.4101347580147370.8202695160294740.589865241985263
260.5575981970581260.8848036058837490.442401802941874
270.4962983005535520.9925966011071050.503701699446448
280.4762865377174430.9525730754348870.523713462282557
290.4551553247135630.9103106494271260.544844675286437
300.4073233171080490.8146466342160980.592676682891951
310.4599273825683160.9198547651366330.540072617431684
320.7206969382315760.5586061235368480.279303061768424
330.6811386992488940.6377226015022110.318861300751106
340.6365116685565460.7269766628869080.363488331443454
350.5887325534775960.8225348930448080.411267446522404
360.5849046895082610.8301906209834790.415095310491739
370.6463787102752440.7072425794495120.353621289724756
380.599356036080890.8012879278382190.400643963919109
390.7181973848290210.5636052303419590.281802615170979
400.672895560451870.654208879096260.32710443954813
410.6423180779568460.7153638440863090.357681922043154
420.5980737798735270.8038524402529450.401926220126473
430.5836116769568610.8327766460862780.416388323043139
440.5345282461992220.9309435076015560.465471753800778
450.5385141131115560.9229717737768880.461485886888444
460.5179889193982790.9640221612034420.482011080601721
470.506355617914880.987288764170240.49364438208512
480.4751790636209150.950358127241830.524820936379085
490.4279097844502810.8558195689005620.572090215549719
500.4248310871842260.8496621743684510.575168912815774
510.420126254936510.840252509873020.57987374506349
520.4078724958458410.8157449916916810.592127504154159
530.3858367458320290.7716734916640570.614163254167971
540.3417279300275380.6834558600550770.658272069972462
550.3218624255515510.6437248511031020.678137574448449
560.2955892101306310.5911784202612610.704410789869369
570.3096293323910910.6192586647821820.690370667608909
580.4050047435357180.8100094870714370.594995256464282
590.3867373855521430.7734747711042860.613262614447857
600.3440517694666130.6881035389332260.655948230533387
610.3517659802387230.7035319604774460.648234019761277
620.3548533335000760.7097066670001520.645146666499924
630.3126635010092810.6253270020185620.687336498990719
640.3223089636701110.6446179273402210.677691036329889
650.2847442469472840.5694884938945680.715255753052716
660.2508141288473510.5016282576947030.749185871152649
670.2265213827869030.4530427655738060.773478617213097
680.2497257083254290.4994514166508580.750274291674571
690.268452770886810.5369055417736190.73154722911319
700.2321456423393510.4642912846787020.767854357660649
710.2313182931556920.4626365863113850.768681706844307
720.2488020695469020.4976041390938050.751197930453098
730.216405089883390.4328101797667810.78359491011661
740.212097216265620.4241944325312390.78790278373438
750.1813644841436890.3627289682873790.818635515856311
760.2125309087716450.4250618175432910.787469091228355
770.1892471876554240.3784943753108480.810752812344576
780.1608905690044970.3217811380089940.839109430995503
790.2637960486843980.5275920973687970.736203951315602
800.2485563489049780.4971126978099570.751443651095022
810.2242085378520970.4484170757041950.775791462147903
820.202562848535390.405125697070780.79743715146461
830.1723493215192850.344698643038570.827650678480715
840.1541268355711780.3082536711423570.845873164428822
850.1464241238790480.2928482477580950.853575876120952
860.1275029391488180.2550058782976370.872497060851182
870.1250273744255740.2500547488511490.874972625574426
880.1080556912711090.2161113825422180.891944308728891
890.1445907462751180.2891814925502360.855409253724882
900.1205443788649670.2410887577299340.879455621135033
910.1336413107836590.2672826215673170.866358689216341
920.1156334427659310.2312668855318630.884366557234069
930.09503135212324690.1900627042464940.904968647876753
940.08731678702623340.1746335740524670.912683212973767
950.1179972874062860.2359945748125730.882002712593714
960.1264050287028290.2528100574056580.873594971297171
970.119216364793690.2384327295873810.88078363520631
980.09822121421430530.1964424284286110.901778785785695
990.08460219462843250.1692043892568650.915397805371568
1000.07874950432885490.157499008657710.921250495671145
1010.07340335037989170.1468067007597830.926596649620108
1020.06864551869222060.1372910373844410.931354481307779
1030.055831688274950.11166337654990.94416831172505
1040.04748687472792690.09497374945585380.952513125272073
1050.03954349979883640.07908699959767270.960456500201164
1060.07440065280772980.148801305615460.92559934719227
1070.07083629480775110.1416725896155020.929163705192249
1080.11796880860650.2359376172130.8820311913935
1090.1085453264247390.2170906528494770.891454673575261
1100.3713082827705020.7426165655410050.628691717229498
1110.4130642727430470.8261285454860940.586935727256953
1120.3901651503034520.7803303006069050.609834849696548
1130.3601604858615170.7203209717230350.639839514138483
1140.3360421776083090.6720843552166180.663957822391691
1150.2989278892086010.5978557784172020.701072110791399
1160.2722996395281530.5445992790563050.727700360471847
1170.2381183738149670.4762367476299340.761881626185033
1180.2015904404632630.4031808809265260.798409559536737
1190.172636796715870.345273593431740.82736320328413
1200.1796715294390220.3593430588780440.820328470560978
1210.1499350418360350.299870083672070.850064958163965
1220.1464266667043070.2928533334086140.853573333295693
1230.1467004397617410.2934008795234810.853299560238259
1240.1333336572208050.2666673144416090.866666342779195
1250.1114596776482230.2229193552964460.888540322351777
1260.1037057035943930.2074114071887860.896294296405607
1270.1109332905867970.2218665811735950.889066709413203
1280.3659527132016960.7319054264033910.634047286798304
1290.3298183081766380.6596366163532770.670181691823362
1300.285101517375870.5702030347517410.71489848262413
1310.2498277743089250.4996555486178490.750172225691075
1320.310642304285840.6212846085716790.68935769571416
1330.4386812667182230.8773625334364460.561318733281777
1340.6332317910255090.7335364179489830.366768208974492
1350.6285376603884880.7429246792230230.371462339611512
1360.5894440432353010.8211119135293990.410555956764699
1370.7141503822315690.5716992355368630.285849617768431
1380.655550529883690.6888989402326190.34444947011631
1390.6928111732442310.6143776535115390.307188826755769
1400.63747050712350.7250589857530.3625294928765
1410.632686541752170.7346269164956590.36731345824783
1420.5904103533439730.8191792933120530.409589646656027
1430.6328109177278210.7343781645443570.367189082272179
1440.6970836337521160.6058327324957680.302916366247884
1450.7216369124014830.5567261751970350.278363087598517
1460.8398710292617030.3202579414765950.160128970738297
1470.8191392612406450.3617214775187090.180860738759355
1480.7659034996136040.4681930007727910.234096500386396
1490.7495902921109460.5008194157781090.250409707889054
1500.6676802728518880.6646394542962250.332319727148112
1510.6940373920325780.6119252159348440.305962607967422
1520.996638357259860.006723285480280850.00336164274014043
1530.9917967970424960.01640640591500740.00820320295750369
1540.9830712731666690.03385745366666280.0169287268333314
1550.9625520533946780.07489589321064450.0374479466053223
1560.9133072659579570.1733854680840860.0866927340420428
1570.9504446453277320.09911070934453580.0495553546722679


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0065359477124183OK
5% type I error level30.0196078431372549OK
10% type I error level70.0457516339869281OK