Multiple Linear Regression - Estimated Regression Equation
Connected[t] = + 17.7776309431389 -0.28835113027119Gender[t] + 0.358509478841511Separate[t] + 0.344545056420027Learning[t] -0.129904848873766Software[t] + 0.0748566273482812Happiness[t] + 0.685191817204791Population[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)17.77763094313893.0071765.911700
Gender-0.288351130271190.529048-0.5450.5865110.293255
Separate0.3585094788415110.0725944.93862e-061e-06
Learning0.3445450564200270.1311912.62630.0094980.004749
Software-0.1299048488737660.137094-0.94760.3448280.172414
Happiness0.07485662734828120.108850.68770.4926670.246333
Population0.6851918172047910.4994591.37190.1720870.086043


Multiple Linear Regression - Regression Statistics
Multiple R0.435849630153994
R-squared0.189964900105373
Adjusted R-squared0.158608702690097
F-TEST (value)6.05828881574866
F-TEST (DF numerator)6
F-TEST (DF denominator)155
p-value1.01781375027032e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.09591757651607
Sum Squared Residuals1485.62937429008


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14135.47770102562995.52229897437008
23934.78961068010784.21038931989224
33035.1699666817546-5.16996668175455
43134.6071188958748-3.60711889587478
53435.4835450090312-1.48354500903117
63532.81035192319692.18964807680309
73935.03540501225943.96459498774056
83434.5047706658346-0.504770665834566
93634.13638245566881.86361754433116
103737.0210768590608-0.0210768590607845
113834.08930873585813.91069126414187
123634.76638959906051.23361040093949
133834.73954056203873.26045943796132
143936.10576248125552.89423751874453
153335.7218919180355-2.72189191803549
163234.6625948745335-2.66259487453355
173634.56389509343961.43610490656043
183838.1140863026149-0.114086302614887
193936.93349046967022.06650953032985
203233.8248007593326-1.82480075933264
213235.4364712892205-3.43647128922046
223133.7771999609545-2.77719996095452
233936.72987469807152.27012530192854
243736.85003726790870.149962732091349
253935.60745993719823.39254006280177
264134.20063639264576.79936360735427
273636.1336818410807-0.133681841080688
283334.8632801446761-1.86328014467608
293334.1084536108259-1.10845361082587
303434.3532896338162-0.353289633816206
313132.7314096047514-1.73140960475136
322733.7152129945787-6.71521299457874
333733.11186749274693.88813250725311
343435.5424915261919-1.54249152619192
353432.55732956438421.44267043561581
363232.7054719222387-0.705471922238722
372932.6279965912516-3.62799659125158
383633.7077146282572.29228537174299
392933.8009576055869-4.80095760558694
403535.1920930013528-0.192093001352822
413734.98329677720792.01670322279213
423434.1794119425389-0.179411942538891
433835.78680938586742.21319061413257
443534.42814626116450.571853738835512
453831.6620559194816.33794408051905
463732.80332077701564.19667922298436
473835.44051552216112.55948447783888
483334.9375146993259-1.93751469932591
493636.8658109258085-0.865810925808546
503833.19949189471894.80050810528106
513235.7160479346342-3.71604793463418
523233.5023310793365-1.50233107933652
533232.7191980060238-0.719198006023831
543435.5465262741148-1.54652627411482
553232.3112439273869-0.311243927386879
563733.84028311238693.1597168876131
573934.54181971701574.45818028298434
582934.4669630896674-5.46696308966738
593735.03312308803051.96687691196951
603534.50220290537010.497797094629929
613031.3516049741403-1.35160497414026
623835.29079278244682.7092072175532
633434.951428178573-0.95142817857303
643134.8766224943991-3.87662249439912
653433.39143465314290.60856534685715
663535.671199727268-0.671199727267961
673634.95532647420831.04467352579171
683032.840172947717-2.84017294771697
693935.92503155424113.07496844575887
703536.5160344736679-1.5160344736679
713833.84982560724824.15017439275178
723135.4166723684154-4.41667236841542
733436.6887908989675-2.68879089896746
743837.69416098692170.305839013078328
753432.78122643055621.21877356944377
763934.22780671250264.77219328749739
773735.56229993201471.43770006798529
783434.0568180645248-0.0568180645248449
792833.3313424313587-5.33134243135875
803732.78122643055624.21877356944377
813335.4723331776216-2.47233317762159
823737.642388988333-0.642388988333005
833535.5424915261919-0.542491526191916
843734.81230812923012.18769187076989
853234.2523228821211-2.25232288212112
863333.5763877235421-0.5763877235421
873836.93367786513221.06632213486784
883335.0772982795239-2.07729827952389
892933.6002308772878-4.6002308772878
903333.1650555356196-0.165055535619596
913135.0304214401929-4.03042144019295
923634.24025320429131.75974679570868
933537.6617212587628-2.66172125876275
943231.896504532850.10349546714999
952932.5347685675495-3.53476856754949
963936.2038401896512.79615981034899
973735.15618965479511.84381034520492
983534.39148438962070.608515610379343
993734.90502747463512.09497252536486
1003235.0430527625291-3.04305276252907
1013835.75907742150422.24092257849577
1023735.0191586656091.98084133439099
1033636.605813832599-0.605813832599007
1043232.0901906299501-0.0901906299501221
1053336.3894153327487-3.3894153327487
1064033.24071214611066.75928785388943
1073835.9300660694822.06993393051801
1084136.54786161414614.45213838585387
1093634.86944541091241.13055458908756
1104336.91729161955166.08270838044842
1113035.1521549068722-5.15215490687217
1123134.23440922089-3.23440922089001
1133237.3012660921552-5.30126609215519
1143233.4182177933625-1.41821779336247
1153734.25835426098442.74164573901556
1163734.67233715357012.32766284642988
1173335.7241683736544-2.72416837365435
1183436.3736926180232-2.37369261802318
1193333.8468856207743-0.846885620774297
1203835.10912542000212.89087457999788
1213335.0993831409655-2.09938314096555
1223132.4378270787596-1.43782707875955
1233835.91106713181962.08893286818035
1243735.64119130728591.3588086927141
1253332.91698474784910.0830152521509419
1263134.2542176267128-3.2542176267128
1273934.78846497548444.21153502451559
1284436.88367364386537.11632635613471
1293336.2137698641496-3.21376986414959
1303533.54537005122431.45462994877568
1313235.1920930013528-3.19209300135282
1322832.3369818257243-4.33698182572426
1334036.0621109216873.93788907831302
1342732.0730009277662-5.07300092776619
1353736.18545383966940.814546160330646
1363233.0899190835929-1.08991908359287
1372830.1950451590133-2.19504515901333
1383434.8243268638855-0.824326863885542
1393033.0631304747632-3.06313047476317
1403533.60840225948231.39159774051766
1413133.2826563565494-2.2826563565494
1423235.6717743023672-3.67177430236724
1433034.8753403374881-4.87534033748812
1443034.7054464509593-4.70544645095934
1453131.6268066187605-0.62680661876051
1464032.60383215467087.39616784532918
1473233.2766304462962-1.27663044629617
1483634.82446331617321.17553668382682
1493234.140407718574-2.14040771857399
1503532.94523487552712.05476512447292
1513834.91662101707193.08337898292811
1524234.91832836620167.08167163379844
1533437.339115126479-3.33911512647899
1543537.4995615122775-2.49956151227748
1553533.84835260823271.1516473917673
1563331.69407045542121.30592954457881
1573634.24025320429131.75974679570868
1583235.2134288228261-3.21342882282615
1593335.5285780469448-2.5285780469448
1603433.73013572616160.269864273838436
1613233.742341856279-1.742341856279
1623434.5202530188888-0.520253018888824


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.8593100875826430.2813798248347130.140689912417357
110.8468225129257460.3063549741485090.153177487074255
120.7584738879709310.4830522240581380.241526112029069
130.7525814975585180.4948370048829650.247418502441482
140.7488131631455430.5023736737089140.251186836854457
150.7910800549768650.417839890046270.208919945023135
160.8635285978388460.2729428043223070.136471402161154
170.8079545041144970.3840909917710060.192045495885503
180.7411670726140970.5176658547718060.258832927385903
190.7185069148464160.5629861703071670.281493085153583
200.6816343528375410.6367312943249180.318365647162459
210.7473465210382540.5053069579234910.252653478961746
220.7321733125403150.535653374919370.267826687459685
230.7046419857438070.5907160285123860.295358014256193
240.6385832927035450.722833414592910.361416707296455
250.6160562277898740.7678875444202510.383943772210126
260.7958906755313010.4082186489373980.204109324468699
270.7471376632270470.5057246735459060.252862336772953
280.7098808879219610.5802382241560770.290119112078039
290.6646549976283240.6706900047433510.335345002371676
300.6104748473129060.7790503053741890.389525152687094
310.5913840826164180.8172318347671630.408615917383582
320.7647819093873560.4704361812252890.235218090612644
330.7765205611619520.4469588776760960.223479438838048
340.7453186945882250.509362610823550.254681305411775
350.7170261221481740.5659477557036530.282973877851826
360.66786156114790.66427687770420.3321384388521
370.6589136338029940.6821727323940130.341086366197007
380.6429174868055930.7141650263888140.357082513194407
390.7269318484339480.5461363031321030.273068151566052
400.6789971591036160.6420056817927680.321002840896384
410.6433112770995650.713377445800870.356688722900435
420.5920775569564070.8158448860871850.407922443043593
430.5496760871368410.9006478257263180.450323912863159
440.4981604873860780.9963209747721550.501839512613922
450.6499031586587330.7001936826825350.350096841341267
460.6853254534766440.6293490930467110.314674546523356
470.6652735303018990.6694529393962020.334726469698101
480.6415795290890190.7168409418219630.358420470910981
490.595741652378870.808516695242260.40425834762113
500.6392518216650230.7214963566699550.360748178334977
510.6671606870685260.6656786258629470.332839312931473
520.6350815604238870.7298368791522270.364918439576113
530.5930044378769350.813991124246130.406995562123065
540.5594159543867150.881168091226570.440584045613285
550.5101078643893880.9797842712212230.489892135610611
560.500570396761840.9988592064763210.49942960323816
570.5355664703904150.928867059219170.464433529609585
580.6534544155612260.6930911688775480.346545584438774
590.6246663270143450.750667345971310.375333672985655
600.5794953894837570.8410092210324860.420504610516243
610.5485516861522370.9028966276955260.451448313847763
620.5339199071540330.9321601856919340.466080092845967
630.4920443843238950.984088768647790.507955615676105
640.5134999373344190.9730001253311620.486500062665581
650.4691035971003660.9382071942007310.530896402899634
660.4251825440003210.8503650880006420.574817455999679
670.3834991301131650.7669982602263310.616500869886835
680.3919403084958380.7838806169916760.608059691504162
690.3912280143686950.782456028737390.608771985631305
700.3567775914017910.7135551828035810.64322240859821
710.386721853431170.7734437068623410.61327814656883
720.4350155453451770.8700310906903550.564984454654823
730.4220475940078910.8440951880157820.577952405992109
740.3773186152538940.7546372305077870.622681384746106
750.3390281315022020.6780562630044040.660971868497798
760.3931515823676270.7863031647352540.606848417632373
770.3578945005274790.7157890010549580.642105499472521
780.3163736343877270.6327472687754540.683626365612273
790.3986994463995960.7973988927991910.601300553600404
800.4362496592126710.8724993184253410.563750340787329
810.4170238474991370.8340476949982740.582976152500863
820.3729709435967910.7459418871935810.62702905640321
830.3310151658835460.6620303317670910.668984834116454
840.3100659287947340.6201318575894680.689934071205266
850.2909435871832430.5818871743664860.709056412816757
860.255101990021550.51020398004310.74489800997845
870.2242028449380150.448405689876030.775797155061985
880.2050612686237160.4101225372474320.794938731376284
890.2439337636858440.4878675273716890.756066236314156
900.2088075972795530.4176151945591060.791192402720447
910.2302102640177690.4604205280355380.769789735982231
920.2064568518559020.4129137037118030.793543148144098
930.1970731347499020.3941462694998040.802926865250098
940.1674074828392590.3348149656785170.832592517160741
950.174813474643020.349626949286040.82518652535698
960.1690201630151360.3380403260302710.830979836984864
970.1504715890783230.3009431781566470.849528410921677
980.127328002457430.254656004914860.87267199754257
990.1142698423064460.2285396846128920.885730157693554
1000.1117108715914590.2234217431829180.88828912840854
1010.1001414675994470.2002829351988940.899858532400553
1020.0894073936863080.1788147873726160.910592606313692
1030.0719853422057580.1439706844115160.928014657794242
1040.05770282227475460.1154056445495090.942297177725245
1050.05862846217097640.1172569243419530.941371537829024
1060.1402804776856540.2805609553713080.859719522314346
1070.1270821214380790.2541642428761580.872917878561921
1080.1599466121620680.3198932243241360.840053387837932
1090.1469436002114640.2938872004229270.853056399788537
1100.2700246583929660.5400493167859330.729975341607034
1110.3324756737094240.6649513474188490.667524326290576
1120.3198642124049720.6397284248099440.680135787595028
1130.3894365570229820.7788731140459650.610563442977017
1140.3468769118797290.6937538237594590.65312308812027
1150.3244704008300810.6489408016601620.675529599169919
1160.3161665533663370.6323331067326750.683833446633663
1170.3195356613940440.6390713227880870.680464338605956
1180.3033516385691650.606703277138330.696648361430835
1190.2671180491520620.5342360983041230.732881950847938
1200.2537842575032850.5075685150065690.746215742496716
1210.232543566879580.4650871337591610.76745643312042
1220.1984905977404560.3969811954809110.801509402259544
1230.1695583239148550.3391166478297110.830441676085145
1240.1392423726937160.2784847453874320.860757627306284
1250.1107044294598930.2214088589197870.889295570540107
1260.1182854408456820.2365708816913650.881714559154318
1270.1890303818825780.3780607637651550.810969618117422
1280.3952335287957760.7904670575915510.604766471204224
1290.3874625130357820.7749250260715650.612537486964218
1300.3327374447542910.6654748895085830.667262555245709
1310.2940394094244970.5880788188489940.705960590575503
1320.3501238900702790.7002477801405590.64987610992972
1330.4734757282971720.9469514565943430.526524271702828
1340.5364997491175730.9270005017648530.463500250882427
1350.4857459931852230.9714919863704470.514254006814777
1360.4354961281326230.8709922562652460.564503871867377
1370.3991172199410230.7982344398820470.600882780058977
1380.3497759982424820.6995519964849630.650224001757518
1390.4901811449168620.9803622898337240.509818855083138
1400.4203095664973510.8406191329947030.579690433502649
1410.6646294490686850.670741101862630.335370550931315
1420.6214638006380260.7570723987239480.378536199361974
1430.5598627489971330.8802745020057330.440137251002867
1440.754256792118770.4914864157624590.245743207881229
1450.7067039860173450.586592027965310.293296013982655
1460.954846587995240.0903068240095210.0451534120047605
1470.9514938298733770.0970123402532450.0485061701266225
1480.9513444239886890.09731115202262290.0486555760113114
1490.9143490307748540.1713019384502920.0856509692251459
1500.8607960332492140.2784079335015720.139203966750786
1510.7959151444866930.4081697110266140.204084855513307
1520.950361844760510.099276310478980.04963815523949


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 level40.027972027972028OK