Multiple Linear Regression - Estimated Regression Equation
happiness[t] = + 16.8047526382411 + 0.312091001977892luck[t] -0.357308069520522depression[t] + 0.0686057180561021belonging[t] -0.0592332381375093belonging_final[t] -0.352905082725952popularity[t] -0.0280289123784063friends[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)16.80475263824111.61689910.393200
luck0.3120910019778920.1820791.7140.0886880.044344
depression-0.3573080695205220.053825-6.638300
belonging0.06860571805610210.0476961.43840.1525090.076255
belonging_final-0.05923323813750930.068828-0.86060.3909030.195452
popularity-0.3529050827259520.263224-1.34070.1821430.091072
friends-0.02802891237840630.232349-0.12060.9041510.452076


Multiple Linear Regression - Regression Statistics
Multiple R0.581195686546521
R-squared0.337788426060282
Adjusted R-squared0.310003325055818
F-TEST (value)12.1571782663671
F-TEST (DF numerator)6
F-TEST (DF denominator)143
p-value5.10060882419339e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.93458580398152
Sum Squared Residuals535.194979314254


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11413.42698425723300.573015742767027
21815.85912250392572.14087749607433
31112.6309760764416-1.63097607644163
41214.1664561687585-2.16645616875852
51611.61208872924754.3879112707525
61814.56571963855063.43428036144941
7149.841799460939524.15820053906048
81415.0106156610348-1.01061566103476
91515.1243793816422-0.124379381642241
101513.73108021856161.26891978143843
111715.23047501937271.76952498062729
121915.17768001721143.82231998278865
131013.0072698096810-3.00726980968104
141613.41476559519262.58523440480742
151815.2583257216722.74167427832799
161413.13055475790010.869445242099893
171414.7688688206764-0.768868820676399
181715.16642330929121.83357669070884
191415.0561891487356-1.05618914873562
201614.18112509957321.81887490042676
211815.92520487905312.07479512094691
221113.0026261190048-2.00262611900476
231413.77647665150770.223523348492326
241212.9341100836504-0.934110083650394
251715.17570726183241.82429273816762
26915.7468263708459-6.74682637084595
271615.0635633052570.936436694742997
281413.36613468387450.633865316125474
291513.94154106340621.05845893659384
301113.2505143897211-2.25051438972111
311616.2525418985267-0.252541898526714
321312.98861453254560.0113854674544035
331714.69690878939272.30309121060734
341514.60793834746730.392061652532734
351414.6110888825976-0.611088882597563
361615.66438269227410.335617307725919
37910.9584106909421-1.95841069094209
381514.03835047510840.961649524891574
391715.48641966921641.51358033078358
401314.5781165106699-1.5781165106699
411515.4536585387844-0.453658538784356
421614.10704814935331.89295185064675
431615.59942809306380.400571906936228
441213.0839296333775-1.08392963337751
451214.2896514342758-2.28965143427585
461113.8681440623051-2.86814406230514
471514.8858305594280.114169440572010
481515.1573777871447-0.157377787144671
491714.22134891390412.77865108609593
501314.5235860281999-1.52358602819993
511615.07443009604600.925569903954048
521414.2449123456853-0.244912345685298
531111.6730268299831-0.673026829983132
541213.1935792438538-1.19357924385378
551214.2053876423859-2.20538764238588
561514.74059920441630.259400795583724
571614.40536025580661.59463974419337
581514.79821314407820.201786855921782
591215.6240171280920-3.62401712809198
601213.1538537257118-1.15385372571184
61810.9494536961730-2.94945369617297
621314.2346464016651-1.23464640166515
631114.2754604824132-3.27546048241321
641412.32206164316881.67793835683121
651513.41916858198721.58083141801285
661015.5379257594857-5.53792575948567
671111.9680147753628-0.96801477536282
681214.5500615647167-2.55006156471673
691513.99648703102561.00351296897439
701514.29168621790090.70831378209911
711414.2276014764028-0.227601476402849
721612.96058562016723.03941437983281
731514.04290448308300.957095516917027
741515.1183310627973-0.118331062797338
751315.7811443059510-2.78114430595098
761212.0833081117441-0.0833081117441266
771713.89649877713133.10350122286871
781312.38024162360370.619758376396347
791514.11177693859560.88822306140444
801315.2293348551736-2.22933485517360
811515.4037717469907-0.403771746990673
821615.05528559296110.94471440703885
831515.9000523009502-0.900052300950239
841614.81252908354611.18747091645393
851514.65666121497410.34333878502595
861414.1398058509740-0.139805850973965
871514.81408588821900.185914111780971
881413.93234336475530.067656635244675
891312.29558953546330.704410464536653
90710.7215402321947-3.72154023219466
911714.52076930846442.47923069153556
921313.3415196152715-0.341519615271548
931513.81810509400711.18189490599288
941413.68095615169750.319043848302482
951315.7296382156817-2.72963821568173
961615.08826805656170.91173194343828
971212.8120266752704-0.812026675270434
981415.6752859432909-1.67528594329087
991715.09764053648031.90235946351969
1001514.53736149491310.462638505086907
1011714.88065682265012.11934317734991
1021212.2189002493808-0.218900249380763
1031614.74979347425581.25020652574424
1041114.0838342801075-3.08383428010754
1051513.96696106873331.03303893126668
106911.3810003174450-2.38100031744502
1071616.4278994433445-0.427899443344484
1081512.55306037226952.44693962773047
1091013.3695485276500-3.36954852764995
110109.470538869951080.529461130048915
1111514.31915089743680.680849102563173
1121113.3970722721771-2.39707227217714
1131315.488124066258-2.48812406625801
1141412.54184336633901.45815663366102
1151814.40047929006003.59952070994002
1161615.40493910008890.595060899911075
1171412.96498860696181.03501139303824
1181414.1773854533501-0.177385453350076
1191415.6284495772727-1.62844957727267
1201413.81516922918380.18483077081623
1211212.9886145325456-0.988614532545597
1221414.0571873911343-0.0571873911343368
1231515.9968970175560-0.996897017555977
1241516.1826166508680-1.18261665086802
1251514.00544059698340.99455940301663
1261314.9916334261272-1.99163342612721
1271715.65132963112361.34867036887643
1281715.49570362175761.50429637824236
1291915.12635051614033.87364948385969
1301514.73634496531470.263655034685301
1311314.0459288752837-1.04592887528369
132911.2705902202974-2.27059022029735
1331514.98690120807360.0130987919264474
1341512.70446276024442.29553723975563
1351513.96959600935931.03040399064067
1361613.77012694290892.2298730570911
137119.790030062025131.20996993797487
1381413.85202299718590.147977002814128
1391111.4796950753115-0.479695075311511
1401514.41799440299630.582005597003694
1411314.3164527732404-1.31645277324038
1421514.15097287619240.84902712380758
1431614.62195794687351.37804205312650
1441415.1400999492787-1.14009994927871
1451514.24425615665410.755743843345896
1461615.20382470158820.796175298411842
1471614.80944219754271.19055780245726
1481113.4657937065098-2.46579370650975
1491214.4363238776840-2.43632387768402
150911.7119248066375-2.71192480663747


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.7079265707037740.5841468585924530.292073429296226
110.7914220929547320.4171558140905350.208577907045268
120.904551812129910.1908963757401800.0954481878700898
130.9788219017914240.04235619641715210.0211780982085761
140.9652657025761310.06946859484773730.0347342974238686
150.9586890063280040.0826219873439910.0413109936719955
160.9390390956813760.1219218086372480.0609609043186238
170.9624555156837580.07508896863248360.0375444843162418
180.9646977113490970.07060457730180650.0353022886509033
190.9610330265207480.07793394695850350.0389669734792517
200.9490697353651280.1018605292697440.050930264634872
210.9544759547937580.0910480904124830.0455240452062415
220.9572771065643970.08544578687120650.0427228934356032
230.9464155505010730.1071688989978540.053584449498927
240.9343497433978460.1313005132043080.065650256602154
250.9167402408247110.1665195183505780.083259759175289
260.996625774718590.006748450562818470.00337422528140924
270.995707445511430.008585108977141740.00429255448857087
280.9935313219326170.01293735613476620.0064686780673831
290.9912647756243840.01747044875123150.00873522437561573
300.9910339850176160.01793202996476730.00896601498238367
310.987622997267320.02475400546536180.0123770027326809
320.982537537067720.03492492586456020.0174624629322801
330.9864902514725230.02701949705495360.0135097485274768
340.9806926882642380.03861462347152480.0193073117357624
350.9797729483333380.04045410333332450.0202270516666623
360.973734855058190.0525302898836220.026265144941811
370.97896950849540.04206098300920190.0210304915046010
380.9720870702347640.05582585953047280.0279129297652364
390.9686190342631540.06276193147369170.0313809657368459
400.9622423630338130.07551527393237490.0377576369661874
410.949943248191250.1001135036174990.0500567518087494
420.9479483090747290.1041033818505430.0520516909252713
430.9324492735082440.1351014529835120.067550726491756
440.923208287628420.1535834247431620.0767917123715808
450.9283160093118690.1433679813762630.0716839906881313
460.938336899853290.1233262002934220.061663100146711
470.922418582811940.1551628343761200.0775814171880598
480.908324311263850.1833513774723010.0916756887361503
490.9155551436346960.1688897127306080.084444856365304
500.9054373222867310.1891253554265370.0945626777132687
510.886622077038620.226755845922760.11337792296138
520.8753264339605140.2493471320789730.124673566039486
530.8494325651231340.3011348697537320.150567434876866
540.8568272372696730.2863455254606540.143172762730327
550.8561991769613890.2876016460772220.143800823038611
560.8272515069985280.3454969860029440.172748493001472
570.810067310198310.3798653796033810.189932689801691
580.780251151640220.4394976967195610.219748848359781
590.874216557388530.2515668852229410.125783442611470
600.8583540285115470.2832919429769060.141645971488453
610.889976243758960.2200475124820790.110023756241040
620.8732656154221210.2534687691557580.126734384577879
630.909617188731410.1807656225371810.0903828112685906
640.9140115450045250.1719769099909490.0859884549954746
650.9066619353506210.1866761292987580.093338064649379
660.9874952846370220.02500943072595610.0125047153629781
670.9843648683650970.03127026326980520.0156351316349026
680.9876570634279060.02468587314418690.0123429365720935
690.9844644065436150.03107118691277090.0155355934563854
700.980688472707150.03862305458569900.0193115272928495
710.9744961794625990.05100764107480290.0255038205374014
720.9836389763878310.03272204722433760.0163610236121688
730.9796093287973640.04078134240527310.0203906712026366
740.9731351304177120.05372973916457630.0268648695822882
750.9810154885088560.03796902298228740.0189845114911437
760.9746052669155660.05078946616886840.0253947330844342
770.9846467704956680.03070645900866440.0153532295043322
780.9800955706332060.03980885873358820.0199044293667941
790.9747550807045550.050489838590890.025244919295445
800.9756727857954740.0486544284090520.024327214204526
810.9683811561649950.06323768767000960.0316188438350048
820.961014324517710.07797135096457950.0389856754822897
830.9523212066592460.09535758668150870.0476787933407543
840.9438520626038420.1122958747923170.0561479373961585
850.9285742846505770.1428514306988460.0714257153494229
860.9100393143805720.1799213712388550.0899606856194277
870.8891105813736190.2217788372527620.110889418626381
880.8636875024235360.2726249951529270.136312497576464
890.8386247882462270.3227504235075450.161375211753773
900.9075056163938450.184988767212310.092494383606155
910.925038945587850.1499221088243010.0749610544121505
920.90686826335220.1862634732956000.0931317366477998
930.8921646578947820.2156706842104350.107835342105218
940.8669493544163580.2661012911672840.133050645583642
950.8915150828115120.2169698343769760.108484917188488
960.8712651707284410.2574696585431180.128734829271559
970.8452606804769150.3094786390461700.154739319523085
980.835907450268630.3281850994627390.164092549731370
990.8347777606680840.3304444786638320.165222239331916
1000.8016236540349060.3967526919301880.198376345965094
1010.8078738478932130.3842523042135730.192126152106786
1020.7703929579986260.4592140840027480.229607042001374
1030.7444842605900670.5110314788198650.255515739409933
1040.8122784875814780.3754430248370450.187721512418522
1050.7898123238379310.4203753523241370.210187676162069
1060.8029292797478150.394141440504370.197070720252185
1070.7662082035082120.4675835929835760.233791796491788
1080.7774992568911510.4450014862176970.222500743108849
1090.8426494693497470.3147010613005060.157350530650253
1100.810028614923740.379942770152520.18997138507626
1110.7773354551499410.4453290897001180.222664544850059
1120.798485498500530.4030290029989410.201514501499470
1130.836489106088060.3270217878238800.163510893911940
1140.8927270673029010.2145458653941970.107272932697099
1150.9498293849602950.1003412300794110.0501706150397054
1160.9320214343206040.1359571313587920.0679785656793958
1170.9332450943726290.1335098112547420.0667549056273708
1180.9100352953779940.1799294092440110.0899647046220055
1190.8942173291399940.2115653417200130.105782670860007
1200.8599529063025090.2800941873949820.140047093697491
1210.82058163444870.3588367311026010.179418365551300
1220.7767793728581750.4464412542836490.223220627141825
1230.7483709721362590.5032580557274820.251629027863741
1240.7304767726054160.5390464547891680.269523227394584
1250.6800878316264530.6398243367470930.319912168373547
1260.679162027378230.641675945243540.32083797262177
1270.6218882006212450.756223598757510.378111799378755
1280.6231016237701750.753796752459650.376898376229825
1290.7032656727361420.5934686545277170.296734327263858
1300.630204814432140.7395903711357210.369795185567861
1310.5541074851101720.8917850297796560.445892514889828
1320.5812361532743660.8375276934512680.418763846725634
1330.4974234957603650.9948469915207310.502576504239635
1340.4921218789379460.9842437578758930.507878121062054
1350.4590996763468350.918199352693670.540900323653165
1360.572108844738930.855782310522140.42789115526107
1370.5221199011694340.9557601976611330.477880098830566
1380.3933743547180990.7867487094361980.606625645281901
1390.4500204312739690.9000408625479380.549979568726031
1400.4370075200431810.8740150400863620.562992479956819


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.0152671755725191NOK
5% type I error level230.175572519083969NOK
10% type I error level410.312977099236641NOK