Multiple Linear Regression - Estimated Regression Equation
Belonging[t] = + 56.1224985935191 + 1.31579631412692Happiness[t] -0.670539009034875Age[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)56.12249859351916.3450148.845100
Happiness1.315796314126920.3476873.78440.0002180.000109
Age-0.6705390090348750.700296-0.95750.3397640.169882


Multiple Linear Regression - Regression Statistics
Multiple R0.294702194149267
R-squared0.0868493832363925
Adjusted R-squared0.0753632119563472
F-TEST (value)7.56121261984606
F-TEST (DF numerator)2
F-TEST (DF denominator)159
p-value0.000729662680479581
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.3113450175692
Sum Squared Residuals16905.4899353446


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15369.849873928052-16.849873928052
28676.45413720262939.5458627973707
36667.2435630037409-1.24356300374086
46768.5593593178678-1.55935931786778
57671.81092754727084.18907245272917
67875.78359819359442.21640180640558
75371.1909519461216-18.1909519461216
88070.52041293708679.47958706291326
97472.50674826024851.49325173975146
107673.17728726928342.82271273071659
117974.46780187946754.5321981205325
125477.7699335167562-23.7699335167562
136765.92776668961391.07223331038606
145473.1520055653406-19.1520055653406
158775.113059184559511.8869408154405
165870.5204129370867-12.5204129370867
177569.84987392805195.15012607194813
188874.467801879467513.5321981205325
196469.179334919017-5.17933491901699
205772.4814665563057-15.4814665563057
216676.4541372026293-10.4541372026293
226867.24356300374090.75643699625914
235469.8498739280519-15.8498739280519
245667.218281299798-11.218281299798
258675.138340888502410.8616591114976
268065.282509384521914.7174906154781
277670.46984952920115.53015047079892
286970.5204129370867-1.52041293708674
297872.50674826024855.49325173975146
306767.2435630037409-0.24356300374086
318073.82254457437556.17745542562454
325469.8751556319947-15.8751556319947
337174.4678018794675-3.4678018794675
348472.506748260248511.4932517397515
357471.19095194612162.80904805387838
367173.8225445743755-2.82254457437546
376364.611970375487-1.61197037548702
387172.5067482602485-1.50674826024854
397675.13834088850240.861659111497621
406969.8751556319947-0.875155631994699
417472.50674826024851.49325173975146
427572.48146655630572.51853344369429
435473.8225445743755-19.8225445743755
445267.8888203088329-15.8888203088329
456967.2182812997981.78171870020197
466865.90248498567112.09751501432889
476572.5067482602485-7.50674826024854
487572.50674826024852.49325173975146
497475.8088798975373-1.80887989753725
507569.87515563199475.1248443680053
517274.4930835834103-2.49308358341033
526771.1909519461216-4.19095194612162
536367.2435630037409-4.24356300374086
546267.218281299798-5.21828129979803
556368.5593593178678-5.55935931786778
567672.50674826024853.49325173975146
577473.15200556534060.847994434659416
586773.1772872692834-6.17728726928341
597367.88882030883295.1111796911671
607067.88882030883292.1111796911671
615363.2961740613601-10.2961740613601
627768.53407761392498.46592238607505
637766.57302399470610.426976005294
645269.179334919017-17.179334919017
655471.1656702421788-17.1656702421788
668065.927766689613914.0722333103861
676666.573023994706-0.573023994705984
687367.88882030883295.1111796911671
696372.5067482602485-9.50674826024854
706972.5067482602485-3.50674826024854
716771.1909519461216-4.19095194612162
725473.8225445743755-19.8225445743755
738173.17728726928347.82271273071659
746971.8362092512137-2.83620925121366
758469.204616622959814.7953833770402
768067.888820308832912.1111796911671
777074.4678018794675-4.4678018794675
786968.53407761392490.465922386075051
797772.50674826024854.49325173975146
805468.5340776139249-14.5340776139249
817971.83620925121377.16379074878634
823073.8225445743755-43.8225445743755
837172.5067482602485-1.50674826024854
847374.4930835834103-1.49308358341033
857270.49513123314391.50486876685609
867769.1793349190177.82066508098301
877572.50674826024852.49325173975146
886971.1909519461216-2.19095194612162
895469.2046166229598-15.2046166229598
907062.65091675626817.34908324373195
917375.1383408885024-2.13834088850238
925469.8751556319947-15.8751556319947
937772.50674826024854.49325173975146
948271.190951946121610.8090480538784
958069.204616622959810.7953833770402
968073.15200556534066.84799443465942
976968.55935931786780.44064068213222
987870.52041293708677.47958706291326
998175.13834088850245.86165911149762
1007671.16567024217884.83432975782121
1017675.13834088850240.861659111497621
1027367.88882030883295.1111796911671
1038573.152005565340611.8479944346594
1046666.573023994706-0.573023994705984
1057973.17728726928345.82271273071659
1066864.6119703754873.38802962451298
1077673.82254457437552.17745542562454
1087171.1656702421788-0.165670242178789
1095465.2572276805791-11.2572276805791
1104663.2456106534744-17.2456106534744
1118271.836209251213710.1637907487863
1127466.5730239947067.42697600529402
1138869.875155631994718.1248443680053
1143870.5204129370867-32.5204129370867
1157676.4541372026293-0.454137202629298
1168671.810927547270814.1890724527292
1175469.8498739280519-15.8498739280519
1187071.1909519461216-1.19095194612162
1196969.8498739280519-0.849873928051869
1209070.520412937086719.4795870629133
1215467.8888203088329-13.8888203088329
1227668.50879590998217.49120409001788
1238971.165670242178817.8343297578212
1247671.83620925121374.16379074878634
1257372.50674826024850.493251739751461
1267969.87515563199479.1248443680053
1279074.467801879467515.5321981205325
1287474.4678018794675-0.467801879467504
1298176.42885549868654.57114450131353
1307272.5067482602485-0.506748260248539
1317169.87515563199471.1248443680053
1326664.6119703754871.38802962451298
1337771.83620925121375.16379074878634
1346573.1772872692834-8.17728726928341
1357472.50674826024851.49325173975146
1368272.48146655630579.51853344369429
1375467.2435630037409-13.2435630037409
1386369.8498739280519-6.84987392805187
1395465.9024849856711-11.9024849856711
1406471.8362092512137-7.83620925121366
1416969.8751556319947-0.875155631994699
1425470.4951312331439-16.4951312331439
1438473.822544574375510.1774554256245
1448671.190951946121614.8090480538784
1457772.50674826024854.49325173975146
1468973.152005565340615.8479944346594
1477674.49308358341031.50691641658967
1486067.2435630037409-7.24356300374086
1497568.55935931786786.44064068213222
1507363.27089235741739.72910764258273
1518573.152005565340611.8479944346594
1527968.534077613924910.4659223860751
1537170.46984952920110.530150470798918
1547267.88882030883294.1111796911671
1556962.60035334838246.39964665161761
1567870.54569464102967.45430535897042
1575469.8751556319947-15.8751556319947
1586970.5204129370867-1.52041293708674
1598176.42885549868654.57114450131353
1608468.534077613924915.4659223860751
1618467.888820308832916.1111796911671
1626969.2046166229598-0.204616622959824


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.4638898470946190.9277796941892380.536110152905381
70.6944613098415510.6110773803168980.305538690158449
80.7313149318495270.5373701363009470.268685068150473
90.6207414032432980.7585171935134050.379258596756702
100.5066430653164390.9867138693671220.493356934683561
110.3997106171567330.7994212343134670.600289382843267
120.8174123893880140.3651752212239720.182587610611986
130.7530003738117740.4939992523764520.246999626188226
140.828642289157630.342715421684740.17135771084237
150.8561165670423640.2877668659152730.143883432957636
160.8509350181012190.2981299637975620.149064981898781
170.816131727751770.3677365444964590.18386827224823
180.8517266167272250.2965467665455510.148273383272775
190.8185152800341140.3629694399317710.181484719965886
200.8499623510875020.3000752978249960.150037648912498
210.8319970819419750.3360058361160510.168002918058025
220.7904363572028790.4191272855942420.209563642797121
230.8172748550527830.3654502898944350.182725144947217
240.7971275803948750.405744839210250.202872419605125
250.8109804802114170.3780390395771660.189019519788583
260.851173829416850.2976523411662990.14882617058315
270.8517403944309890.2965192111380230.148259605569011
280.8139129998744010.3721740002511980.186087000125599
290.787068215910620.425863568178760.21293178408938
300.7412665411820620.5174669176358760.258733458817938
310.7127338801040560.5745322397918880.287266119895944
320.759792815876140.4804143682477210.24020718412386
330.715497280219950.56900543956010.28450271978005
340.7311672754113770.5376654491772470.268832724588623
350.6880730361769870.6238539276460260.311926963823013
360.6399976252723790.7200047494552410.360002374727621
370.5874730052526330.8250539894947330.412526994747367
380.5339706157990120.9320587684019770.466029384200988
390.4805442515957170.9610885031914330.519455748404283
400.4270704931422640.8541409862845270.572929506857736
410.3770509312464050.7541018624928110.622949068753595
420.3355892781781750.6711785563563490.664410721821825
430.4617354463027950.9234708926055890.538264553697205
440.5115064380052680.9769871239894650.488493561994732
450.4676782786539780.9353565573079570.532321721346022
460.4244589092324040.8489178184648080.575541090767596
470.3952458671102140.7904917342204290.604754132889786
480.3531460609354740.7062921218709480.646853939064526
490.3083437929343610.6166875858687220.691656207065639
500.2804079798943390.5608159597886770.719592020105661
510.2414987508411050.482997501682210.758501249158895
520.2085133976468560.4170267952937120.791486602353144
530.1783441405889210.3566882811778420.821655859411079
540.1524205180524250.3048410361048490.847579481947575
550.130715110012130.2614302200242590.86928488998787
560.1110956542035580.2221913084071160.888904345796442
570.09069664701012150.1813932940202430.909303352989879
580.07794257185605840.1558851437121170.922057428143942
590.06803558676020160.1360711735204030.931964413239798
600.05503032028604170.1100606405720830.944969679713958
610.05314084570777730.1062816914155550.946859154292223
620.0523326572052630.1046653144105260.947667342794737
630.05605225830464630.1121045166092930.943947741695354
640.08081444821552460.1616288964310490.919185551784475
650.1117760064804780.2235520129609560.888223993519522
660.1375972023479850.2751944046959710.862402797652015
670.1136578538382240.2273157076764470.886342146161776
680.09935827696807680.1987165539361540.900641723031923
690.09536214495247420.1907242899049480.904637855047526
700.07888895746117690.1577779149223540.921111042538823
710.06536053130617930.1307210626123590.934639468693821
720.1140701670562640.2281403341125290.885929832943736
730.1066952041229130.2133904082458260.893304795877087
740.08857756318889580.1771551263777920.911422436811104
750.1149915037731320.2299830075462640.885008496226868
760.1263645875709110.2527291751418210.873635412429089
770.1086904268244780.2173808536489560.891309573175522
780.08931116211804850.1786223242360970.910688837881952
790.07608614865878890.1521722973175780.923913851341211
800.09221884302237470.1844376860447490.907781156977625
810.08462039155043450.1692407831008690.915379608449566
820.7377252377072460.5245495245855080.262274762292754
830.7033608328229890.5932783343540220.296639167177011
840.6691193899487780.6617612201024440.330880610051222
850.6310203346276280.7379593307447440.368979665372372
860.6148933671946390.7702132656107210.385106632805361
870.5750738959925190.8498522080149620.424926104007481
880.5352094445324630.9295811109350740.464790555467537
890.597144654106490.8057106917870190.40285534589351
900.5809442762776070.8381114474447860.419055723722393
910.5492620806173040.9014758387653920.450737919382696
920.6259969488327810.7480061023344380.374003051167219
930.5903187937572310.8193624124855380.409681206242769
940.5900464685532280.8199070628935430.409953531446772
950.5927697302052980.8144605395894050.407230269794702
960.5653661004397330.8692677991205330.434633899560267
970.5194467667473230.9611064665053550.480553233252677
980.4944819644234140.9889639288468270.505518035576586
990.4612346830003650.922469366000730.538765316999635
1000.4239791063753360.8479582127506720.576020893624664
1010.3852967361282780.7705934722565550.614703263871722
1020.3511814487544460.7023628975088930.648818551245554
1030.3540923836519170.7081847673038340.645907616348083
1040.3112045843954420.6224091687908850.688795415604558
1050.2787837082948740.5575674165897470.721216291705126
1060.2472902803433530.4945805606867070.752709719656647
1070.2136188043678940.4272376087357890.786381195632106
1080.1821214706711220.3642429413422440.817878529328878
1090.1833951297732370.3667902595464750.816604870226763
1100.2382350101285030.4764700202570050.761764989871497
1110.2289857267892890.4579714535785790.77101427321071
1120.2099600290749160.4199200581498320.790039970925084
1130.2810054289549880.5620108579099750.718994571045012
1140.7461092709509820.5077814580980360.253890729049018
1150.7126774800406460.5746450399187070.287322519959354
1160.7286393698143090.5427212603713820.271360630185691
1170.815612987347320.3687740253053610.18438701265268
1180.7826039174180380.4347921651639250.217396082581962
1190.7483626001966260.5032747996067470.251637399803374
1200.8292042951884720.3415914096230550.170795704811528
1210.8725136530515490.2549726938969010.127486346948451
1220.8502100514075150.299579897184970.149789948592485
1230.8913140754962250.217371849007550.108685924503775
1240.8645693146795240.2708613706409520.135430685320476
1250.8332250160091170.3335499679817650.166774983990883
1260.818596699317840.3628066013643190.18140330068216
1270.8436110631849520.3127778736300950.156388936815048
1280.8105643319537510.3788713360924980.189435668046249
1290.7701945257459160.4596109485081690.229805474254084
1300.7260330091637270.5479339816725470.273966990836273
1310.6740016706506790.6519966586986420.325998329349321
1320.6184741902191860.7630516195616270.381525809780814
1330.5645589149666410.8708821700667180.435441085033359
1340.5687993246474140.8624013507051720.431200675352586
1350.5083114780675870.9833770438648260.491688521932413
1360.473078003705040.9461560074100810.52692199629496
1370.5503317054317740.8993365891364510.449668294568226
1380.5347232854185080.9305534291629830.465276714581492
1390.605310683485130.7893786330297390.39468931651487
1400.6249665948385240.7500668103229520.375033405161476
1410.5761172918596950.847765416280610.423882708140305
1420.8172675101212160.3654649797575680.182732489878784
1430.7806624005020120.4386751989959770.219337599497988
1440.7984302118439840.4031395763120320.201569788156016
1450.7363058195582780.5273883608834450.263694180441722
1460.7726924104860950.4546151790278110.227307589513905
1470.7002911224030630.5994177551938750.299708877596937
1480.7298146318176530.5403707363646950.270185368182347
1490.6491731631162480.7016536737675040.350826836883752
1500.5642738925649930.8714522148700130.435726107435007
1510.5439153069287050.9121693861425890.456084693071295
1520.4709786098211130.9419572196422260.529021390178887
1530.4151878436483710.8303756872967420.584812156351629
1540.298095294323910.5961905886478190.70190470567609
1550.2377016907685230.4754033815370450.762298309231477
1560.7121910968151260.5756178063697480.287808903184874


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 level00OK