Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 13.5418192607468 + 0.0236875343095792Connected[t] + 0.0599170464092312Separate[t] + 0.100158690643845Learning[t] -0.0796049946788367Software[t] -0.34016858129956Depression[t] + 0.0523382523886976Belonging[t] -0.0402494950926348Belonging_Final[t] -1.04308022934069M1[t] -0.675853126651141M2[t] -0.00863759431825111M3[t] -1.12540140962164M4[t] -0.0047466453498684M5[t] -1.16617735315638M6[t] + 0.174722807443339M7[t] -0.796081789230753M8[t] + 0.228190847148109M9[t] -1.10780459080302M10[t] -1.1127438087348M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)13.54181926074682.6881485.03761e-061e-06
Connected0.02368753430957920.0525770.45050.6530090.326504
Separate0.05991704640923120.048851.22660.2220050.111003
Learning0.1001586906438450.0859771.1650.2459780.122989
Software-0.07960499467883670.086997-0.9150.3617180.180859
Depression-0.340168581299560.05544-6.135800
Belonging0.05233825238869760.0479411.09170.2767920.138396
Belonging_Final-0.04024949509263480.068906-0.58410.560060.28003
M1-1.043080229340690.760201-1.37210.1721770.086089
M2-0.6758531266511410.760575-0.88860.3757060.187853
M3-0.008637594318251110.769145-0.01120.9910550.495528
M4-1.125401409621640.756017-1.48860.1387970.069398
M5-0.00474664534986840.759216-0.00630.995020.49751
M6-1.166177353156380.755106-1.54440.1247040.062352
M70.1747228074433390.7677090.22760.820290.410145
M8-0.7960817892307530.784562-1.01470.3119710.155985
M90.2281908471481090.7688820.29680.7670630.383531
M10-1.107804590803020.775446-1.42860.1552990.077649
M11-1.11274380873480.768804-1.44740.1499820.074991


Multiple Linear Regression - Regression Statistics
Multiple R0.623835595610296
R-squared0.389170850350452
Adjusted R-squared0.31228326507988
F-TEST (value)5.06155641357359
F-TEST (DF numerator)18
F-TEST (DF denominator)143
p-value8.5893293588768e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.93855600480879
Sum Squared Residuals537.393911880569


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11413.49749930191560.502500698084415
21815.14052062750742.85947937249255
31114.0513302476591-3.05133024765908
41213.9271549734614-1.92715497346142
51611.90942643724224.09057356275779
61813.55694742724494.44305257275511
71411.24652680062012.7534731993799
81414.5690182801896-0.569018280189591
91515.8269372848301-0.826937284830122
101514.27584094982660.724159050173419
111714.75393016414782.24606983585224
121915.85571282849733.14428717150275
131012.8568964703074-2.85689647030739
141613.52918399729332.47081600270674
151816.05894274146051.9410572585395
161412.52307858106381.47692141893624
171414.3652812602964-0.365281260296428
181715.2909689325441.70903106745596
191416.1421382010196-2.14213820101956
201613.18047017460012.81952982539989
211816.65507313589951.34492686410049
221112.6986990265441-1.69869902654407
231413.91389656038260.0861034396174205
241214.1612576261413-2.16125762614132
251714.99241270972682.00758729027322
26915.6561500260502-6.65615002605025
271615.79464312767220.205356872327771
281412.54078054588761.45921945411238
291514.45209916222920.547900837770814
301113.0779458969188-2.07794589691875
311615.82897105461790.171028945382111
321312.26321428470490.736785715295122
331715.69365085587961.30634914412037
341514.58468673911970.415313260880307
351413.23928506966110.760714930338873
361615.64464824703820.355351752961835
37910.5717698595048-1.57176985950479
381514.04620628863250.953793711367533
391715.60858229788991.39141770211009
401314.5484079949121-1.54840799491211
411516.137632139359-1.13763213935895
421612.99727334537113.0027266546289
431616.1197963902802-0.11979639028016
441212.8697300642282-0.869730064228191
451215.1329916599772-3.13299165997719
461113.0808655264894-2.08086552648935
471514.6430641885110.356935811488987
481515.3194506496632-0.319450649663228
491713.43524530231563.56475469768436
501314.5026869115115-1.50268691151147
511615.65179022759840.348209772401606
521412.71242503167761.28757496832237
531112.2040247150566-1.2040247150566
541212.6566746927878-0.656674692787771
551215.0017655764505-3.00176557645045
561514.46807136359920.531928636400828
571615.01789447873860.982105521261361
581514.5600787414470.439921258553019
591214.7775316327853-2.77753163278528
601214.0449723017412-2.04497230174125
61810.2142835927717-2.21428359277173
621314.5873463090955-1.58734630909546
631115.0605187612416-4.06051876124159
641412.48588940473861.51411059526138
651513.92299706880271.07700293119726
661014.5624496729493-4.56244967294929
671113.3357564154145-2.33575641541446
681214.0897653939569-2.08976539395687
691514.68278768399140.317212316008584
701513.28578868481171.71421131518825
711413.16445594458860.835544055411354
721613.47505088688052.52494911311949
731514.21449763612110.785502363878908
741515.5107516448428-0.510751644842808
751315.2456812518827-2.24568125188269
761211.87562775717660.124372242823387
771714.70887404280082.29112595719916
781311.82282637028831.1771736297117
791514.30015211745010.699847882549907
801314.3237306674119-1.3237306674119
811515.8973822951496-0.897382295149599
821614.80367683834521.19632316165479
831514.96562039287730.0343796071227446
841614.95058214501441.04941785498557
851513.83599853773261.16400146226743
861414.0276999161927-0.0276999161927164
871515.1477995901464-0.147799590146373
881413.72140282074540.278597179254605
891313.184139281065-0.184139281064952
90710.130954084458-3.13095408445804
911714.64035273135552.3596472686445
921312.41996058395850.580039416041543
931515.4593289284384-0.459328928438398
941412.67404570275381.32595429724622
951314.1539764902371-1.15397649023708
961615.98261540051270.0173845994872993
971212.4778623697042-0.477862369704175
981414.9276048895712-0.927604889571163
991715.65964741269521.34035258730478
1001514.66214893627370.337851063726275
1011715.84707580406791.15292419593205
1021212.6428292546157-0.642829254615677
1031615.86907764579850.130922354201517
1041113.8301327565398-2.83013275653977
1051514.41564602746570.584353972534306
106911.0912333885881-2.09123338858809
1071614.51786270279051.48213729720953
1081514.03964242137630.960357578623659
1091012.5709745711477-2.57097457114771
1101010.0817441894812-0.0817441894811905
1111514.48541768592550.514582314074452
1121112.6155872442189-1.61558724421887
1131316.2289050013754-3.22890500137544
1141411.98089399916252.01910600083749
1151815.03997269308872.96002730691131
1161615.2736938793530.72630612064702
1171414.0514094874081-0.0514094874081292
1181413.87196273066050.128037269339494
1191414.5936121346874-0.593612134687446
1201414.6404301147931-0.640430114793107
1211212.3192699891059-0.319269989105903
1221413.14958433930450.850415660695499
1231515.8596531556732-0.859653155673191
1241515.4224057707189-0.422405770718911
1251514.91131586604320.0886841339567667
1261313.9968234078691-0.996823407869108
1271717.0394036387198-0.0394036387198468
1281715.65216367026781.34783632973218
1291915.85896862767123.14103137232879
1301513.14177507955871.85822492044134
1311314.2545109163481-1.25451091634805
132911.2893208994391-2.28932089943914
1331515.4057530604746-0.405753060474594
1341512.31876818105672.68123181894325
1351515.0729608592093-0.0729608592092801
1361612.85528703618083.14471296381922
137119.778271544371561.22172845562844
1381412.74931108503311.25068891496686
1391112.8047963720491-1.80479637204905
1401514.17485903543670.825140964563255
1411314.5653320092836-1.5653320092836
1421514.29124091657210.708759083427851
1431613.54414527949382.45585472050621
1441415.1440082250437-1.14400822504374
1451513.43457445532351.56542554467648
1461614.73817073237681.26182926762321
1471614.68089245474111.31910754525886
1481112.9616085721338-1.96160857213376
1491215.1318190267411-3.13181902674109
150911.2136817252037-2.21368172520365
1511615.63129036313570.368709636864285
1521312.88518984575350.114810154246494
1531616.7425975252669-0.742597525266862
1541214.6401056752832-2.64010567528317
155911.4781085234895-2.4781085234895
1561312.45230825385880.547691746141177
1571312.17296214384850.827037856151482
1581413.78358194708370.216418052916265
1591915.62214018620493.37785981379515
1601315.1481953308108-2.14819533081078
1611213.2181386505488-1.21813865054881
1621312.32042010555370.679579894446278


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
220.9846745037510120.03065099249797670.0153254962489884
230.9801336907030590.03973261859388260.0198663092969413
240.9847560782391960.03048784352160830.0152439217608041
250.9823523290357220.03529534192855560.0176476709642778
260.9999334410000110.0001331179999789316.65589999894656e-05
270.9999244985179480.0001510029641035357.55014820517676e-05
280.9999205224886370.0001589550227265297.94775113632647e-05
290.9998439791408670.0003120417182664820.000156020859133241
300.9999117228066680.0001765543866642578.82771933321285e-05
310.9998625433720480.0002749132559037050.000137456627951853
320.9998191196949920.0003617606100158950.000180880305007948
330.9996724514842820.0006550970314368290.000327548515718415
340.9995382416228930.0009235167542132930.000461758377106646
350.999530190386110.0009396192277796850.000469809613889843
360.9991638366393570.001672326721286120.000836163360643058
370.9990007545661830.001998490867633640.000999245433816821
380.9986035958218950.002792808356210650.00139640417810532
390.9983307618426720.003338476314656160.00166923815732808
400.9978819616674440.004236076665112760.00211803833255638
410.9968698321410090.00626033571798230.00313016785899115
420.9968251391472210.006349721705558110.00317486085277905
430.9950557655071670.009888468985665140.00494423449283257
440.9942053133631220.01158937327375650.00579468663687823
450.997031492757290.005937014485420490.00296850724271024
460.9968501859416570.006299628116686020.00314981405834301
470.9951902061906310.00961958761873760.0048097938093688
480.9934892171209610.01302156575807870.00651078287903934
490.9960406677398450.007918664520310140.00395933226015507
500.9950216690581310.009956661883737890.00497833094186894
510.9926800818671590.0146398362656820.00731991813284098
520.9905529218903530.01889415621929430.00944707810964713
530.9889600375265770.02207992494684590.011039962473423
540.9847979109876810.03040417802463830.0152020890123192
550.9897926214305660.02041475713886840.0102073785694342
560.9857842443130180.02843151137396440.0142157556869822
570.980510968807880.03897806238423980.0194890311921199
580.9750010418328880.04999791633422360.0249989581671118
590.9838284630159310.03234307396813830.0161715369840692
600.9876602695384510.02467946092309710.0123397304615486
610.9880916782824930.0238166434350140.011908321717507
620.98664493498730.02671013002540060.0133550650127003
630.9954154798031890.00916904039362260.0045845201968113
640.9944303365157010.01113932696859710.00556966348429856
650.9927557524590260.01448849508194850.00724424754097423
660.9989493910869210.002101217826158360.00105060891307918
670.999183565868450.001632868263099740.000816434131549871
680.9992339158255330.001532168348934940.000766084174467471
690.9988207647421170.002358470515765630.00117923525788281
700.9986831692179370.0026336615641260.001316830782063
710.9981454274132860.003709145173427960.00185457258671398
720.9984695356369730.003060928726054130.00153046436302706
730.9979226459181150.004154708163769750.00207735408188487
740.9970762700128680.005847459974263550.00292372998713177
750.9979837651043780.004032469791244770.00201623489562238
760.9970237991199860.005952401760027150.00297620088001358
770.9977161300411620.004567739917675330.00228386995883767
780.997047760028050.005904479943901060.00295223997195053
790.99585703255720.00828593488559930.00414296744279965
800.9958700169818870.008259966036226570.00412998301811329
810.9948568267033980.01028634659320350.00514317329660177
820.9931584699587290.01368306008254210.00684153004127104
830.9903105994271330.01937880114573390.00968940057286696
840.9871840401013460.02563191979730730.0128159598986537
850.9850282256258710.02994354874825760.0149717743741288
860.9803289377978510.0393421244042980.019671062202149
870.9741255226420010.05174895471599830.0258744773579991
880.9659963200807440.06800735983851190.0340036799192559
890.9563730623060660.08725387538786720.0436269376939336
900.9707821328754680.05843573424906350.0292178671245317
910.9738897428755210.0522205142489580.026110257124479
920.9655972245968120.06880555080637660.0344027754031883
930.9556971811032150.08860563779357060.0443028188967853
940.9485403369471370.1029193261057270.0514596630528634
950.9385359713554320.1229280572891360.0614640286445682
960.9209082332787360.1581835334425270.0790917667212636
970.899865555856320.200268888287360.10013444414368
980.8991779400038470.2016441199923060.100822059996153
990.8814945221038260.2370109557923480.118505477896174
1000.8603046016408090.2793907967183820.139695398359191
1010.8581851720534560.2836296558930880.141814827946544
1020.8309920637480990.3380158725038020.169007936251901
1030.7938286845349250.4123426309301510.206171315465075
1040.885536446351480.228927107297040.11446355364852
1050.8629885339339390.2740229321321210.13701146606606
1060.870941600287170.258116799425660.12905839971283
1070.8578638488582580.2842723022834840.142136151141742
1080.860782463921480.2784350721570390.13921753607852
1090.8781834276586190.2436331446827610.121816572341381
1100.8458809221221690.3082381557556630.154119077877831
1110.8094829144566360.3810341710867290.190517085543364
1120.7844323556236440.4311352887527120.215567644376356
1130.7907772911221690.4184454177556620.209222708877831
1140.9692585918436280.06148281631274420.0307414081563721
1150.9868055732451430.0263888535097150.0131944267548575
1160.9890139098506150.02197218029876980.0109860901493849
1170.9838085617146960.03238287657060720.0161914382853036
1180.9758451889241360.04830962215172750.0241548110758637
1190.9645662727107310.07086745457853720.0354337272892686
1200.9565152513277350.08696949734452910.0434847486722646
1210.9375784311158130.1248431377683730.0624215688841867
1220.9266317144931930.1467365710136140.0733682855068072
1230.9011395116541530.1977209766916940.0988604883458468
1240.875068921861880.249862156276240.12493107813812
1250.8354763869221780.3290472261556430.164523613077822
1260.7862436009501170.4275127980997660.213756399049883
1270.726223692077430.547552615845140.27377630792257
1280.7556589195663180.4886821608673640.244341080433682
1290.7111542727831430.5776914544337140.288845727216857
1300.6800407323328750.639918535334250.319959267667125
1310.604861932455470.7902761350890610.39513806754453
1320.5265597999955740.9468804000088520.473440200004426
1330.4422659391413940.8845318782827890.557734060858606
1340.3762874594650750.7525749189301490.623712540534925
1350.2896907670002160.5793815340004310.710309232999784
1360.2537543889851070.5075087779702150.746245611014893
1370.4532066095231810.9064132190463620.546793390476819
1380.3889964597428790.7779929194857570.611003540257121
1390.2683286998454350.536657399690870.731671300154565
1400.6604705402216290.6790589195567420.339529459778371


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level390.327731092436975NOK
5% type I error level690.579831932773109NOK
10% type I error level790.663865546218487NOK