Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 17.5662446474836 + 0.00713222387829059Popularity[t] + 0.0344298760876943KnowingPeople[t] + 0.00620232457943602CMistakes[t] -0.306971082504576DAction[t] + 0.173787200187903Tobacco[t] -0.826460409772176Drugs[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)17.56624464748361.37917212.736800
Popularity0.007132223878290590.0768410.09280.9261830.463091
KnowingPeople0.03442987608769430.0665630.51730.6058060.302903
CMistakes0.006202324579436020.0352670.17590.8606540.430327
DAction-0.3069710825045760.07295-4.2084.6e-052.3e-05
Tobacco0.1737872001879030.2036930.85320.3950370.197519
Drugs-0.8264604097721760.368906-2.24030.026670.013335


Multiple Linear Regression - Regression Statistics
Multiple R0.404266973125832
R-squared0.163431785560322
Adjusted R-squared0.127059254497727
F-TEST (value)4.49327502886909
F-TEST (DF numerator)6
F-TEST (DF denominator)138
p-value0.000345024051561227
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.21953728874425
Sum Squared Residuals679.835717105414


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11414.9430624342372-0.943062434237218
21814.6359038821883.36409611781205
31115.3225839833167-4.32258398331675
41213.2238693444577-1.22386934445768
51614.78333580416371.2166641958363
61814.854478339483.14552166052002
71414.0092500975074-0.00925009750738331
81414.645305353057-0.645305353056965
91514.64117630746850.358823692531467
101513.14673398871181.85326601128815
111713.20939417086813.7906058291319
121914.07904537548934.92095462451073
131012.9152785434097-2.91527854340971
141815.83504583629982.1649541637002
151411.3907391544092.60926084559104
161414.8489868072985-0.848986807298458
171714.79015145477842.20984854522161
181414.950931461362-0.95093146136203
191614.293126312041.70687368796003
201812.93522199289255.06477800710745
211414.2179904966362-0.217990496636162
221212.7809303082475-0.780930308247507
231713.14973716700173.85026283299829
24912.0699541889004-3.06995418890038
251614.59379807502791.40620192497213
261413.80587561377840.194124386221564
271113.953365301346-2.95336530134599
281614.41283516035611.58716483964388
291313.4182630587259-0.418263058725908
301714.60281335379212.39718664620787
311514.71323233398620.286767666013842
321414.8514751611901-0.851475161190117
331613.60219415953692.39780584046306
34912.4898903760448-3.48989037604485
351513.92219844649431.07780155350566
361715.75812396094731.24187603905274
371313.4819326227247-0.481932622724682
381513.28188852857461.71811147142536
391613.61452643529442.38547356470564
401616.3348521784798-0.334852178479798
411213.7931381268229-1.79313812682288
421113.1081806935434-2.10818069354336
431514.97749793683260.0225020631674011
441714.83814061273242.16185938726761
451314.6329007038981-1.63290070389809
461613.25116699666712.74883300333292
471414.375465980925-0.375465980925039
481114.6700324142707-3.67003241427074
491213.1885151955788-1.18851519557877
501215.4189604946025-3.41896049460247
511515.0696085327329-0.0696085327329265
521615.20620504173250.793794958267528
531514.74168186434270.258318135657306
541213.6845561668229-1.68455616682292
551213.9075400405549-1.9075400405549
56812.8406105684022-4.84061056840216
571314.8526185408823-1.85261854088227
581114.5807937533709-3.58079375337095
591415.0902094203056-1.09020942030561
601513.44564294803931.55435705196072
611014.2759984277378-4.27599842773784
621114.6599763772592-3.65997637725922
631213.6802594145816-1.68025941458163
641513.38825794572391.61174205427609
651515.004795589042-0.00479558904200265
661413.52620780999090.473792190009095
671612.23477751057213.76522248942791
681515.348056346232-0.348056346231982
691515.6859279317339-0.68592793173387
701314.6391030284775-1.63910302847753
711714.56404095172272.4359590482773
721313.1713682921833-0.171368292183255
731514.3364688454470.663531154552962
741314.9217796370626-1.92177963706256
751513.58782160739231.41217839260775
761614.55961056212941.44038943787063
771514.5410858254950.458914174504973
781614.22140874982671.77859125017332
791514.24993764533980.750062354660162
801414.4958097548413-0.495809754841266
811513.17285087997821.82714912002178
82712.7157107881109-5.71571078811091
831715.05734362531841.94265637468163
841315.868958016042-2.86895801604195
851514.19411109761730.805888902382728
861413.7370158616030.262984138396953
871312.30745948138780.692540518612214
881614.50564381300451.49435618699549
891214.1897685716355-2.18976857163555
901415.2149013467112-1.21490134671121
911714.94814176346552.05185823653453
921515.322124052563-0.322124052563006
931712.52246045353484.47753954646517
941213.6387795517196-1.63877955171961
951614.0059927027791.99400729722102
961113.1679023111923-2.16790231119232
971513.91033309324581.08966690675417
98914.3366935788556-5.33669357885562
991614.63290070389811.36709929610191
1001012.9940336176989-2.99403361769893
1011011.6542629489503-1.65426294895033
1021514.45175930098360.548240699016378
1031114.0245266816668-3.02452668166678
1041314.9736674806888-1.97366748068877
1051412.76782336514571.2321766348543
1061815.01359451546562.98640548453438
1071614.84404159330691.15595840669308
1081412.62482018249911.37517981750094
1091413.84948498188690.150515018113135
1101413.95730736023670.0426926397632883
1111413.82962137544530.170378624554713
1121213.3671682446016-1.36716824460158
1131414.2629708497927-0.262970849792661
1141514.64893708664080.351062913359226
1151513.95182494795921.04817505204078
1161312.03495963246520.965040367534796
1171714.55661301034722.44338698965285
1181714.3264120646372.67358793536297
1191915.48495419923643.51504580076357
1201514.1224672740530.877532725947038
1211314.2524259992315-1.2524259992315
122912.2990960142057-3.29909601420574
1231515.0074391748881-0.00743917488812934
1241515.1136301037947-0.11363010379467
1251615.15042897637060.849571023629369
1261113.5264156638766-2.52641566387656
1271413.99343282166560.00656717833436187
1281113.175180647121-2.17518064712104
1291512.17196271791042.82803728208958
1301313.2840440446696-0.284044044669612
1311613.34049914768612.65950085231387
1321415.419478190948-1.41947819094801
1331514.45722482231660.542775177683419
1341614.08728934170351.91271065829649
1351614.93924323110871.06075676889128
1361112.8369732083107-1.83697320831071
1371313.229709204646-0.22970920464604
1381614.59379807502791.40620192497213
1391213.8874413591176-1.8874413591176
140913.0713705679521-4.07137056795212
1411312.86350181968340.136498180316632
1421315.868958016042-2.86895801604195
1431414.4581490951078-0.458149095107793
1441915.48495419923643.51504580076357
1451315.0213552946379-2.02135529463787


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.4378594266708340.8757188533416670.562140573329166
110.2831473841091540.5662947682183070.716852615890846
120.2266912459413550.453382491882710.773308754058645
130.5846325410988150.8307349178023710.415367458901185
140.5029461081478040.9941077837043920.497053891852196
150.415451300347890.830902600695780.58454869965211
160.409166744419790.8183334888395790.59083325558021
170.6891931662362340.6216136675275320.310806833763766
180.6317784433433650.736443113313270.368221556656635
190.744580014472180.5108399710556390.255419985527819
200.8941172241735060.2117655516529880.105882775826494
210.8665518205953420.2668963588093160.133448179404658
220.8438788560912720.3122422878174560.156121143908728
230.8631294509008120.2737410981983750.136870549099188
240.8917484563640240.2165030872719510.108251543635976
250.8601645233995430.2796709532009150.139835476600457
260.839941421677990.3201171566440190.160058578322009
270.8808341519221830.2383316961556350.119165848077817
280.8598889624144350.280222075171130.140111037585565
290.8656744540276250.2686510919447490.134325545972375
300.860648049543340.2787039009133190.13935195045666
310.8354737544981120.3290524910037760.164526245501888
320.8090801586705920.3818396826588150.190919841329407
330.7875559530962790.4248880938074430.212444046903721
340.874671589810520.250656820378960.12532841018948
350.849575342234150.3008493155317010.15042465776585
360.8162404170337270.3675191659325460.183759582966273
370.7762447539532090.4475104920935810.223755246046791
380.7437788692804820.5124422614390350.256221130719518
390.7517754520585990.4964490958828030.248224547941401
400.7205077111639880.5589845776720230.279492288836012
410.6937253390585820.6125493218828370.306274660941418
420.7039116330250680.5921767339498650.296088366974932
430.6558906370673450.688218725865310.344109362932655
440.6402932843899540.7194134312200910.359706715610046
450.6147227866530580.7705544266938830.385277213346942
460.6193450560522160.7613098878955680.380654943947784
470.6032883040920070.7934233918159860.396711695907993
480.7574259210713170.4851481578573650.242574078928683
490.732812420222380.5343751595552410.267187579777621
500.8006486324019150.398702735196170.199351367598085
510.762964899857380.4740702002852410.23703510014262
520.7249373736939820.5501252526120370.275062626306018
530.6824671717965420.6350656564069160.317532828203458
540.6613031367548870.6773937264902260.338696863245113
550.6421833507258650.715633298548270.357816649274135
560.8229551964213450.3540896071573110.177044803578655
570.8147079248340210.3705841503319570.185292075165979
580.857517499911440.2849650001771190.142482500088559
590.8395543636829340.3208912726341320.160445636317066
600.8218485148961670.3563029702076660.178151485103833
610.9013189597175820.1973620805648360.0986810402824178
620.9317857516402550.1364284967194910.0682142483597453
630.9236923100088460.1526153799823080.0763076899911539
640.9142465303337610.1715069393324770.0857534696662385
650.89310440647270.2137911870546010.1068955935273
660.8702019711133470.2595960577733070.129798028886654
670.9153999189979620.1692001620040760.0846000810020378
680.8953122435856660.2093755128286670.104687756414334
690.8735208966501990.2529582066996030.126479103349801
700.861806255399540.2763874892009180.138193744600459
710.8658923453246960.2682153093506080.134107654675304
720.8381323635011160.3237352729977690.161867636498884
730.8079685768951470.3840628462097060.192031423104853
740.8025601219182650.394879756163470.197439878081735
750.783821942119390.432356115761220.21617805788061
760.7629798761428280.4740402477143430.237020123857172
770.7241628378955130.5516743242089730.275837162104487
780.7107929466224460.5784141067551080.289207053377554
790.6720044697845370.6559910604309250.327995530215463
800.6278041152009480.7443917695981040.372195884799052
810.6173773141071430.7652453717857130.382622685892857
820.8214693886003870.3570612227992250.178530611399613
830.8152586709671310.3694826580657380.184741329032869
840.8396293331550490.3207413336899030.160370666844951
850.8118606262250020.3762787475499950.188139373774998
860.7774000462976530.4451999074046950.222599953702347
870.7434722210417650.513055557916470.256527778958235
880.7272875716692290.5454248566615430.272712428330771
890.7220417024917050.555916595016590.277958297508295
900.696576505630240.606846988739520.30342349436976
910.696986225507750.60602754898450.30301377449225
920.6510744420572250.697851115885550.348925557942775
930.8483353219134250.3033293561731490.151664678086575
940.8289702434115260.3420595131769480.171029756588474
950.8326248901311040.3347502197377930.167375109868896
960.8252081020526670.3495837958946660.174791897947333
970.8074937535350180.3850124929299640.192506246464982
980.934398815773350.13120236845330.0656011842266499
990.920499616046020.159000767907960.0795003839539798
1000.9211017487101950.157796502579610.0788982512898052
1010.9074815706460460.1850368587079070.0925184293539537
1020.8837490755641570.2325018488716850.116250924435843
1030.9060802282694330.1878395434611340.093919771730567
1040.9229416289441070.1541167421117860.0770583710558929
1050.9259359831051620.1481280337896770.0740640168948385
1060.9387401856248550.122519628750290.0612598143751449
1070.921154400302030.157691199395940.0788455996979701
1080.927087877921880.1458242441562390.0729121220781193
1090.9045448139805980.1909103720388050.0954551860194024
1100.9015271782530150.1969456434939710.0984728217469853
1110.8818682410653530.2362635178692940.118131758934647
1120.8541748591838980.2916502816322050.145825140816102
1130.814734769062380.3705304618752410.18526523093762
1140.769181379327480.4616372413450410.230818620672521
1150.7294896396224660.5410207207550690.270510360377534
1160.6736485946911540.6527028106176930.326351405308846
1170.7364629917807350.527074016438530.263537008219265
1180.7169336293079850.5661327413840310.283066370692015
1190.7422446626859780.5155106746280440.257755337314022
1200.7651491592225040.4697016815549920.234850840777496
1210.7056937529097480.5886124941805030.294306247090252
1220.7400756440697350.519848711860530.259924355930265
1230.6844747716658250.631050456668350.315525228334175
1240.6095647941801760.7808704116396480.390435205819824
1250.5285472385894660.9429055228210680.471452761410534
1260.4541247500443630.9082495000887270.545875249955637
1270.422509374574280.845018749148560.57749062542572
1280.3416981316780460.6833962633560910.658301868321954
1290.3012839933017690.6025679866035390.69871600669823
1300.223021039213520.4460420784270390.77697896078648
1310.4153010555056120.8306021110112230.584698944494388
1320.6459985668666870.7080028662666250.354001433133313
1330.517486816408250.96502636718350.48251318359175
1340.6046476726486570.7907046547026860.395352327351343
1350.5456861713112080.9086276573775830.454313828688792


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