Multiple Linear Regression - Estimated Regression Equation
CM+D[t] = + 44.1744764200473 + 0.355225335188637`PE+PC`[t] -0.223616457775059happiness[t] + 0.253261494075167depression[t] -0.457390995302612connected[t] -0.134163985832665separated[t] + 0.0731026269579095populariteit[t] + 0.00173563261092779t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)44.174476420047350.901410.86780.3872410.193621
`PE+PC`0.3552253351886370.1122633.16420.0019780.000989
happiness-0.2236164577750591.298405-0.17220.8635570.431778
depression0.2532614940751670.5991770.42270.6732960.336648
connected-0.4573909953026120.676092-0.67650.5000330.250017
separated-0.1341639858326651.036453-0.12940.8972260.448613
populariteit0.07310262695790950.5985370.12210.9029990.4515
t0.001735632610927790.0177240.09790.9221590.46108


Multiple Linear Regression - Regression Statistics
Multiple R0.293957093886829
R-squared0.08641077304639
Adjusted R-squared0.0322148019559215
F-TEST (value)1.59441322496364
F-TEST (DF numerator)7
F-TEST (DF denominator)118
p-value0.143625117302426
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.94948698655691
Sum Squared Residuals5698.85358640621


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13832.8005858311685.19941416883201
23629.96051878226986.03948121773016
32333.5145077667671-10.5145077667671
43031.0296660530576-1.02966605305760
52632.0970776912344-6.09707769123444
62631.3883626534681-5.3883626534681
73028.58192803766461.41807196233537
82732.4575099242559-5.45750992425586
93431.53977480521672.46022519478330
102831.7013690820909-3.70136908209087
113633.88361816284322.11638183715681
124233.88535379545418.11464620454588
133132.2571680060377-1.25716800603768
142631.4022477143555-5.40224771435552
151630.0167144393066-14.0167144393066
162331.5519242334932-8.5519242334932
174534.60448262888610.3955173711140
183034.4703008071820-4.47030080718205
194531.055700542221513.9442994577785
203031.6319693908948-1.63196939089481
212433.1905238185752-9.1905238185752
222930.7393145379604-1.73931453796036
233032.4343829764102-2.43438297641020
243133.6971613055124-2.69716130551243
253430.1466435862373.85335641376300
264136.75145533351624.2485446664838
273732.84571227905214.15428772094788
283331.42654657090851.57345342909149
294830.153586116680717.8464138833193
304430.228424376249513.7715756237505
312930.8675080522798-1.86750805227983
324435.29180635141768.70819364858235
334334.77845800457678.2215419954233
343133.0040669612444-2.00406696124444
352832.8595973399395-4.85959733993954
362632.297087556089-6.29708755608902
373031.0869419292182-1.08694192921822
382731.3747665845804-4.37476658458038
393433.22176520557190.778234794428106
404730.026472821485116.9735271785149
413734.41224954897972.58775045102032
422731.8060707626501-4.80607076265013
433031.8078063952611-1.80780639526106
443640.4811553263151-4.48115532631508
453931.81127766048297.18872233951709
463231.81301329309380.186986706906158
472531.8147489257048-6.81474892570477
481928.6194565416180-9.61945654161797
492932.1734455261153-3.17344552611526
502632.1260197217166-6.12601972171661
513130.07919721330.920802786700005
523132.1786524239480-1.17865242394805
533130.97879459667820.0212054033218439
543931.47167301879267.52832698120737
552832.1838593217808-4.18385932178083
562230.4094682784486-8.40946827844857
573131.4768799166254-0.476879916625412
583631.62482080315224.37517919684784
592830.4146751762814-2.41467517628136
603933.25821349040145.74178650959862
613532.19427311744642.80572688255360
623331.84078341486871.15921658513131
632731.487293712291-4.48729371229098
643332.90993068565650.0900693143435477
653131.1355396423242-0.135539642324197
663931.63870586403967.36129413596042
673733.06134283740513.93865716259494
682431.7152797562193-7.71527975621935
692832.5970159466172-4.59701594661715
703727.98082222177589.0191777782242
713233.0682853678488-1.06828536784877
723129.04996949256361.95003050743643
732929.4069304603631-0.406930460363133
744035.41386435808624.58613564191381
754032.72000256310387.27999743689616
761529.7337302602899-14.7337302602899
772729.6863044558912-2.68630445589121
783232.1746174348226-0.174617434822594
792832.2255145044431-4.22551450444309
804136.63615941323354.36384058676652
814732.939436440042214.0605635599578
824235.42774941897366.57225058102639
833233.3393465179255-1.33934651792547
843333.874401889126-0.87440188912601
852935.0777309816178-6.07773098161775
863732.38386918663544.61613081336459
873930.68258077026118.31741922973894
882930.8202338571869-1.8202338571869
893332.95332150092960.0466784990703529
903131.1297690205878-0.129769020587818
912131.7551993062707-10.7551993062707
923634.88086032862141.11913967137857
933235.237821296421-3.23782129642100
941531.5410983232297-16.5410983232297
952533.6250245299629-8.62502452996291
962830.1236682476971-2.12366824769705
973933.32243189700575.6775681029943
983129.01230207034341.98769792965658
994028.707973804775311.2920261952247
1002531.5515121188953-6.5515121188953
1013633.83080501655392.16919498344613
1022329.2146112917125-6.21461129171252
1033930.13581767597358.86418232402646
1043133.8360119143867-2.83601191438666
1052329.7840636060068-6.78406360600676
1063131.7081311684767-0.708131168476692
1072832.9354014509168-4.93540145091677
1084731.516235742773215.4837642572268
1092532.141666028456-7.14166602845602
1102630.4540310024291-4.4540310024291
1112432.4053505670329-8.40535056703291
1123032.8573235966661-2.85732359666608
1132533.4715390914006-8.47153909140057
1144431.871401249833312.1285987501667
1153840.6774878686489-2.67748786864887
1163629.09270489434976.9072951056503
1173433.39077698231900.609223017681041
1184532.059315913700712.9406840862993
1192931.3754690572301-2.37546905723012
1202532.2966754414911-7.29667544149113
1213033.364087079668-3.36408707966797
1222732.237331879356-5.23733187935599
1234433.513763598805610.4862364011944
1243136.5663219941985-5.56632199419849
1253533.72625494530031.27374505469968
1264737.28024392979769.71975607020239


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.7741795510421040.4516408979157920.225820448957896
120.8149145520900870.3701708958198260.185085447909913
130.729755094369280.540489811261440.27024490563072
140.6795800198238570.6408399603522870.320419980176143
150.7603637058842260.4792725882315480.239636294115774
160.7352125131111030.5295749737777940.264787486888897
170.8353978488981680.3292043022036640.164602151101832
180.7808579137529480.4382841724941040.219142086247052
190.8578932390138640.2842135219722710.142106760986136
200.8052888542008960.3894222915982080.194711145799104
210.8766043737022560.2467912525954890.123395626297744
220.8409286242566530.3181427514866940.159071375743347
230.7919972538685190.4160054922629620.208002746131481
240.7380387401435440.5239225197129130.261961259856457
250.6823558993028250.6352882013943490.317644100697175
260.628397732480640.743204535038720.37160226751936
270.5606895323393610.8786209353212770.439310467660639
280.4993725420220450.998745084044090.500627457977955
290.712494630997280.575010738005440.28750536900272
300.7589564962590270.4820870074819460.241043503740973
310.7628083824437750.4743832351124510.237191617556225
320.7778945687454230.4442108625091540.222105431254577
330.764031850003810.4719362999923790.235968149996189
340.754397002799980.4912059944000390.245602997200020
350.7905180381004770.4189639237990450.209481961899523
360.8155544294973420.3688911410053160.184445570502658
370.7896373844112930.4207252311774150.210362615588707
380.7603812151786110.4792375696427780.239618784821389
390.7147045690093870.5705908619812260.285295430990613
400.8345937487057460.3308125025885080.165406251294254
410.7956537936076150.408692412784770.204346206392385
420.8107828480860150.3784343038279690.189217151913985
430.787891153546170.4242176929076590.212108846453829
440.7533709671292240.4932580657415520.246629032870776
450.7356458006680170.5287083986639650.264354199331983
460.6975717508985620.6048564982028770.302428249101438
470.7225661270982480.5548677458035050.277433872901752
480.7919149412724330.4161701174551350.208085058727567
490.7602613008875480.4794773982249040.239738699112452
500.7530226358098980.4939547283802040.246977364190102
510.7205585906136660.5588828187726680.279441409386334
520.674546944615520.650906110768960.32545305538448
530.6258850264867990.7482299470264020.374114973513201
540.6258987781054330.7482024437891350.374101221894567
550.5946853003074550.810629399385090.405314699692545
560.6210038184032790.7579923631934430.378996181596721
570.5685701710143480.8628596579713040.431429828985652
580.5318042796019890.9363914407960220.468195720398011
590.4846531007382080.9693062014764160.515346899261792
600.4652739070457570.9305478140915140.534726092954243
610.4192161746982320.8384323493964640.580783825301768
620.3681645393321070.7363290786642140.631835460667893
630.3389689412269120.6779378824538240.661031058773088
640.2907781865500270.5815563731000540.709221813449973
650.2461149123342440.4922298246684880.753885087665756
660.2465637890466220.4931275780932440.753436210953378
670.2185501569100420.4371003138200840.781449843089958
680.2301916793145330.4603833586290660.769808320685467
690.2165168481306240.4330336962612480.783483151869376
700.2376425059757140.4752850119514270.762357494024286
710.1990564218904210.3981128437808420.800943578109579
720.1652637641805250.3305275283610490.834736235819476
730.1378532133499850.2757064266999710.862146786650015
740.1202593067360450.2405186134720910.879740693263955
750.121986672590530.243973345181060.87801332740947
760.2385922037746780.4771844075493560.761407796225322
770.2046620996283550.409324199256710.795337900371645
780.1684648272293860.3369296544587710.831535172770614
790.1494033217441320.2988066434882640.850596678255868
800.1293022206634390.2586044413268780.870697779336561
810.2295857606627970.4591715213255950.770414239337203
820.2362929497024040.4725858994048080.763707050297596
830.2125691280665950.425138256133190.787430871933405
840.1794519760608260.3589039521216510.820548023939174
850.1596925693253290.3193851386506580.840307430674671
860.1523426088338210.3046852176676430.847657391166179
870.2034651835262830.4069303670525660.796534816473717
880.1663267419460950.3326534838921890.833673258053905
890.1380556974819640.2761113949639280.861944302518036
900.1075984544069100.2151969088138190.89240154559309
910.1186363424519630.2372726849039260.881363657548037
920.1067106758199590.2134213516399180.89328932418004
930.08751513262486150.1750302652497230.912484867375138
940.1881704979458090.3763409958916170.811829502054191
950.21023346831170.42046693662340.7897665316883
960.1695701361166150.3391402722332310.830429863883385
970.1596102763318970.3192205526637930.840389723668103
980.1259184669423680.2518369338847360.874081533057632
990.2004562881983540.4009125763967090.799543711801646
1000.1711946944271040.3423893888542080.828805305572896
1010.1556420411250330.3112840822500660.844357958874967
1020.1256872195845050.2513744391690100.874312780415495
1030.2045195674387530.4090391348775060.795480432561247
1040.1713360190501860.3426720381003730.828663980949814
1050.1307675358935260.2615350717870520.869232464106474
1060.1213400269227360.2426800538454710.878659973077264
1070.1190359892873440.2380719785746880.880964010712656
1080.2484814307765160.4969628615530320.751518569223484
1090.1888952655817880.3777905311635750.811104734418212
1100.1912281573872800.3824563147745590.80877184261272
1110.1316933933912590.2633867867825190.86830660660874
1120.0867317670122280.1734635340244560.913268232987772
1130.17305551589780.34611103179560.8269444841022
1140.1151740462331490.2303480924662970.884825953766851
1150.06585745660195570.1317149132039110.934142543398044


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