Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 18.9957165366223 -0.0278024991470845Popularity[t] + 0.0455463905768971KnowingPeople[t] -0.00637402452264036CMistakes[t] -0.280840510374423DAction[t] + 0.181746271876873Tobacco[t] -0.914459276859248Drugs[t] -0.762811775254921Gender[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)18.99571653662231.55945912.18100
Popularity-0.02780249914708450.078309-0.3550.7231080.361554
KnowingPeople0.04554639057689710.0661990.6880.4926050.246302
CMistakes-0.006374024522640360.035558-0.17930.8579990.429
DAction-0.2808405103744230.073563-3.81770.0002030.000102
Tobacco0.1817462718768730.2018330.90050.3694470.184723
Drugs-0.9144592768592480.368378-2.48240.0142590.007129
Gender-0.7628117752549210.401175-1.90140.0593430.029672


Multiple Linear Regression - Regression Statistics
Multiple R0.430048346921455
R-squared0.184941580689876
Adjusted R-squared0.143296259995198
F-TEST (value)4.44087301057838
F-TEST (DF numerator)7
F-TEST (DF denominator)137
p-value0.000177261813259388
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.19879831012477
Sum Squared Residuals662.355819179236


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11415.1838316030315-1.18383160303153
21814.87588780741263.12411219258743
31115.5135306633869-4.51353066338689
41212.7854569899845-0.785456989984458
51614.91733371333571.08266628666430
61815.10618608482562.89381391517442
71414.4705801335575-0.470580133557483
81414.8354603760197-0.835460376019714
91514.89094225751440.109057742485617
101513.41444215163621.5855578483638
111712.87694348419874.12305651580128
121914.55974955392624.44025044607376
131012.5245842728517-2.52458427285174
141816.01849503927771.98150496072231
151411.21239000486922.78760999513077
161414.2168499394085-0.216849939408523
171714.97033832534082.02966167465919
181414.3251804549211-0.325180454921146
191614.43682561542721.56317438457275
201812.62260692996415.37739307003592
211414.5378711160821-0.537871116082101
221213.2521245540801-1.25212455408015
231712.67930975872894.32069024127114
24911.9547441598086-2.95474415980858
251614.20997741351991.79002258648013
261414.1827534970653-0.182753497065282
271113.3744282930834-2.37442829308336
281614.47349553725921.52650446274084
291313.1829533025514-0.182953302551449
301714.83914495921432.16085504078566
311515.0563228200996-0.0563228200995524
321414.3156949272231-0.315694927223066
331613.27574038316662.72425961683337
34912.0634019218240-3.06340192182396
351513.68553478155921.31446521844080
361715.97663323189541.02336676810457
371312.98439130185520.0156086981447623
381513.02907639646191.97092360353807
391613.72393389791552.27606610208450
401615.81374662452520.186253375474806
411213.8711640835198-1.87116408351985
421113.4438827563934-2.44388275639338
431515.2488831074477-0.248883107447689
441715.11268322614771.88731677385229
451314.0853966498101-1.08539664981007
461613.62161765496342.37838234503664
471414.0281642750027-0.0281642750027268
481114.3217528344224-3.32175283442243
491213.5436559631263-1.54365596312634
501215.0266304790701-3.02663047907007
511515.1942063280719-0.194206328071934
521615.35121196592020.648788034079823
531515.1113719669578-0.111371966957814
541213.0078972731827-1.00789727318273
551213.9167541087356-1.91675410873562
56812.6239617231306-4.62396172313061
571314.3862312588195-1.38623125881954
581114.8003556334316-3.80035563343157
591415.3904512549226-1.39045125492264
601513.74451363578221.25548636421785
611013.9796685196258-3.97966851962584
621114.9184285830303-3.91842858303025
631213.3881385221454-1.38813852214537
641513.66210128020751.33789871979248
651514.55942022191670.440579778083251
661413.23195521499930.768044785000675
671612.70636394877423.29363605122582
681515.6057619488741-0.605761948874102
691515.4100005604537-0.410000560453668
701314.0790226252874-1.07902262528743
711714.75711564391122.2428843560888
721313.3163197666959-0.316319766695935
731513.81515992579991.18484007420015
741314.3141936282855-1.31419362828546
751513.13798295276981.86201704723019
761614.21291616183881.78708383816118
771514.72024967891350.279750321086534
781613.85247585401732.14752414598272
791514.50407763268390.495922367316139
801414.8077247998208-0.807724799820837
811512.78675867629602.21324132370396
82713.2415770178752-6.24157701787518
831715.48468344062411.51531655937586
841316.2435482236231-3.24354822362315
851514.54193873954820.458061260451782
861414.0916607159115-0.0916607159114877
871312.48249890681910.517501093180875
881614.97073209470921.02926790529078
891214.5054558148220-2.50545581482197
901415.4631880430515-1.46318804305149
911714.38946587879452.61053412120552
921514.84326634725040.156733652749603
931712.91461703690474.08538296309534
941213.0957942989674-1.09579429896735
951614.13343236834411.86656763165585
961112.7267172565135-1.72671725651346
971514.20228800329440.797711996705624
98913.9461349596996-4.94613495969958
991614.8482084250651.15179157493501
1001012.6384430932132-2.63844309321322
1011011.9097875817659-1.9097875817659
1021514.69113592057650.308864079423518
1031114.1189463288907-3.11894632889067
1041315.0133882751135-2.01338827511348
1051412.54612314809311.45387685190692
1061815.20496414969192.79503585030809
1071614.50662783805801.49337216194197
1081413.07268468325980.927315316740201
1091414.1847437244906-0.184743724490588
1101414.5128154083329-0.512815408332917
1111414.0170569178191-0.0170569178190783
1121213.6018834798003-1.60188347980030
1131414.6330315207020-0.633031520702012
1141515.0048416954307-0.0048416954307306
1151513.99094871813341.00905128186662
1161312.15820211809120.841797881908786
1171714.20474189333062.79525810666936
1181714.59296389757922.40703610242076
1191915.59963717503453.40036282496553
1201514.53463649610720.465363503892837
1211313.8401108452435-0.840110845243483
122911.9320485170236-2.93204851702361
1231515.1418406191236-0.141840619123571
1241514.59146309938640.408536900613567
1251615.2662935966630.733706403337001
1261113.3044149073808-2.30441490738084
1271413.66260500799720.337394992002850
1281113.5778324867961-2.57783248679606
1291512.45378096124422.54621903875583
1301312.80358392168580.196416078314241
1311612.90742475188483.09257524811517
1321415.6099354605564-1.60993546055643
1331513.98998699450721.01001300549285
1341614.51811675155971.48188324844031
1351614.9873469983761.01265300162401
1361112.4350752898802-1.43507528988019
1371313.4421651686227-0.442165168622658
1381614.20997741351991.79002258648013
1391214.0979678174859-2.09796781748592
140913.4928538066929-4.49285380669292
1411313.0329331774603-0.0329331774602981
1421316.2435482236231-3.24354822362315
1431414.7118651812982-0.711865181298224
1441915.59963717503453.40036282496553
1451315.3188635876083-2.31886358760825


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.2497096611911540.4994193223823070.750290338808846
120.2105053697390850.4210107394781710.789494630260915
130.2320845650031270.4641691300062530.767915434996874
140.3979140591442430.7958281182884860.602085940855757
150.3405525336689060.6811050673378120.659447466331094
160.2411307777969680.4822615555939360.758869222203032
170.5685053132763290.8629893734473420.431494686723671
180.4771434188196310.9542868376392610.522856581180369
190.5316197417909810.9367605164180370.468380258209019
200.880272593369570.2394548132608590.119727406630430
210.8588239759314020.2823520481371960.141176024068598
220.8565929125361190.2868141749277630.143407087463881
230.8900575383457280.2198849233085450.109942461654272
240.9269901301326660.1460197397346680.0730098698673339
250.9042259722009970.1915480555980060.0957740277990032
260.886954838147330.2260903237053390.113045161852670
270.9123359150993840.1753281698012320.0876640849006158
280.894054031345210.2118919373095820.105945968654791
290.892513269675930.2149734606481420.107486730324071
300.8840138655915070.2319722688169850.115986134408493
310.8639508344792020.2720983310415960.136049165520798
320.8319344192581560.3361311614836880.168065580741844
330.8195058700368780.3609882599262450.180494129963122
340.8878804741593930.2242390516812150.112119525840607
350.8628699310129430.2742601379741150.137130068987058
360.8296483841415020.3407032317169960.170351615858498
370.7894328476575950.4211343046848100.210567152342405
380.761592806043710.4768143879125810.238407193956290
390.7627963302421390.4744073395157220.237203669757861
400.7196986879833260.5606026240333480.280301312016674
410.6993855338425480.6012289323149050.300614466157452
420.7333436643598330.5333126712803340.266656335640167
430.6890939278443030.6218121443113940.310906072155697
440.6644264719708890.6711470560582220.335573528029111
450.6254526657907360.7490946684185280.374547334209264
460.6147103857535590.7705792284928820.385289614246441
470.5851889966375910.8296220067248180.414811003362409
480.7114668017701240.5770663964597520.288533198229876
490.7024817296600410.5950365406799180.297518270339959
500.7472796836437380.5054406327125230.252720316356262
510.7036336855545690.5927326288908630.296366314445431
520.6593469740424810.6813060519150380.340653025957519
530.618954285730320.762091428539360.38104571426968
540.5854777700427720.8290444599144560.414522229957228
550.5665666486648320.8668667026703370.433433351335168
560.7575765373067740.4848469253864510.242423462693226
570.73118488474120.53763023051760.2688151152588
580.8045270977538530.3909458044922940.195472902246147
590.7908321645848610.4183356708302780.209167835415139
600.7651374312144660.4697251375710680.234862568785534
610.8476961189635440.3046077620729120.152303881036456
620.9008366959400280.1983266081199440.099163304059972
630.8865337017423720.2269325965152570.113466298257628
640.8708934980866720.2582130038266570.129106501913328
650.84457514317190.3108497136561980.155424856828099
660.8163176327890960.3673647344218080.183682367210904
670.8528690979301140.2942618041397720.147130902069886
680.825122749338790.3497545013224210.174877250661210
690.7933451446937760.4133097106124490.206654855306224
700.7687608746399120.4624782507201770.231239125360088
710.76852068284930.4629586343013990.231479317150700
720.730247367631710.539505264736580.26975263236829
730.7006434173953280.5987131652093440.299356582604672
740.683634453040180.632731093919640.31636554695982
750.6699730079417820.6600539841164350.330026992058217
760.6513469602014570.6973060795970870.348653039798543
770.6043218702850230.7913562594299540.395678129714977
780.5993232632244190.8013534735511620.400676736775581
790.5537720098596340.8924559802807310.446227990140366
800.5118626739953570.9762746520092860.488137326004643
810.5156831305950520.9686337388098950.484316869404948
820.7967464231861670.4065071536276660.203253576813833
830.7800976597317660.4398046805364670.219902340268234
840.8211514267674220.3576971464651560.178848573232578
850.788076436374560.4238471272508790.211923563625440
860.7498813850448360.5002372299103270.250118614955164
870.7116297426250020.5767405147499960.288370257374998
880.6843006241517710.6313987516964580.315699375848229
890.6899707672688420.6200584654623170.310029232731158
900.6694441381482680.6611117237034640.330555861851732
910.6994322042886880.6011355914226230.300567795711311
920.6525442151702680.6949115696594630.347455784829732
930.8239344216918190.3521311566163630.176065578308181
940.7941130454958330.4117739090083340.205886954504167
950.7956070166502180.4087859666995640.204392983349782
960.777417712911420.4451645741771590.222582287088580
970.7525588763752060.4948822472495880.247441123624794
980.8995403489469360.2009193021061280.100459651053064
990.879589356371920.2408212872561590.120410643628079
1000.8791532132695720.2416935734608550.120846786730428
1010.863336637303990.273326725392020.13666336269601
1020.8321781795597150.335643640880570.167821820440285
1030.8626847774549580.2746304450900830.137315222545042
1040.8866339560063660.2267320879872680.113366043993634
1050.8917159298620910.2165681402758180.108284070137909
1060.9085860510245460.1828278979509080.091413948975454
1070.8849745832118560.2300508335762890.115025416788144
1080.8989646176273920.2020707647452160.101035382372608
1090.8734008598070190.2531982803859620.126599140192981
1100.902661080841910.1946778383161790.0973389191580897
1110.8829562505870480.2340874988259040.117043749412952
1120.8512056553754820.2975886892490370.148794344624518
1130.810401890037170.379196219925660.18959810996283
1140.7659761699762120.4680476600475770.234023830023788
1150.7244214854028170.5511570291943670.275578514597183
1160.6655754381788590.6688491236422820.334424561821141
1170.7132527411515180.5734945176969640.286747258848482
1180.690028965807620.6199420683847590.309971034192379
1190.7037738182983430.5924523634033150.296226181701657
1200.8022129433252530.3955741133494950.197787056674748
1210.749843005172930.500313989654140.25015699482707
1220.8556847425784970.2886305148430050.144315257421503
1230.821635814449320.3567283711013590.178364185550680
1240.782687972155570.4346240556888590.217312027844430
1250.711952054584440.5760958908311210.288047945415560
1260.6649056992476860.6701886015046290.335094300752314
1270.5768304950714150.846339009857170.423169504928585
1280.5328287288021370.9343425423957250.467171271197863
1290.4376338282128670.8752676564257340.562366171787133
1300.3452989663830080.6905979327660170.654701033616992
1310.4245580443337150.849116088667430.575441955666285
1320.569608386365710.8607832272685790.430391613634290
1330.4337544574270580.8675089148541170.566245542572942
1340.6469732828913420.7060534342173150.353026717108658


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