Multiple Linear Regression - Estimated Regression Equation
Connected[t] = + 18.646799329877 + 0.342546856180977Separate[t] + 0.300042917488464Learning[t] -0.149104202235988Software[t] + 0.0222601861825917Happiness[t] -0.0100150122535526Depression[t] + 0.047025961909131Belonging[t] -0.0327808023550451Belonging_Final[t] -0.00779785476410572t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)18.6467993298774.1870234.45351.6e-058e-06
Separate0.3425468561809770.0705244.85713e-061e-06
Learning0.3000429174884640.1340142.23890.0266050.013303
Software-0.1491042022359880.136957-1.08870.2780020.139001
Happiness0.02226018618259170.1289350.17260.8631580.431579
Depression-0.01001501225355260.095599-0.10480.9167030.458351
Belonging0.0470259619091310.0754350.62340.5339510.266976
Belonging_Final-0.03278080235504510.107857-0.30390.7615950.380798
t-0.007797854764105720.005477-1.42380.1565370.078268


Multiple Linear Regression - Regression Statistics
Multiple R0.439391781523899
R-squared0.193065137670746
Adjusted R-squared0.150872465130654
F-TEST (value)4.57579778781006
F-TEST (DF numerator)8
F-TEST (DF denominator)153
p-value5.11089487551519e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.11011783702619
Sum Squared Residuals1479.94344290884


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14135.40194227584445.59805772415559
23935.41617349393513.58382650606486
33035.9083697942094-5.90836979420938
43135.4793413522072-4.47934135220724
53435.756193868882-1.75619386888201
63533.3512174581.64878254200004
73934.49353052461294.5064694753871
83435.6865833544029-1.68658335440292
93635.21564676684290.784353233157112
103737.4286028938736-0.42860289387362
113834.87668484453033.12331515546967
123635.01171334066190.988286659338085
133835.39232586428392.60767413571611
143936.38853862602452.61146137397549
153336.7226411409037-3.72264114090375
163234.2563025840732-2.25630258407317
173634.70858040885991.29141959114012
183838.3712057530837-0.371205753083706
193937.15318806408091.84681193591912
203234.1901166490338-2.19011664903384
213235.0379099439801-3.03790994398015
223133.9656973023182-2.96569730231822
233936.89578793328292.10421206671711
243736.52699490423210.473005095767857
253935.78003316778353.21996683221649
264134.89951527944236.10048472055774
273636.1454383229953-0.145438322995281
283335.4797314970624-2.47973149706236
293335.1227255927981-2.12272559279806
303434.2495197964068-0.249519796406796
313133.1296166467249-2.12961664672494
322733.3632414691375-6.36324146913753
333733.92552332360033.0744766763997
343436.4710973307215-2.47109733072148
353433.34620544619310.653794553806857
363232.8992246919281-0.899224691928128
372932.8328225503949-3.83282255039494
383634.20886896079751.79113103920254
392934.6156094324731-5.61560943247311
403535.0058060213969-0.00580602139685898
413734.8467840975512.15321590244897
423434.335230748698-0.335230748698004
433834.77096463531083.2290353646892
443533.8733560056171.12664399438302
453832.62172143325845.37827856674163
463733.7896598469353.210340153065
473835.79275446807632.20724553192375
483335.0223608418868-2.02236084188677
493636.7733509001971-0.773350900197061
503833.8607847302624.13921526973798
513236.1786439305177-4.1786439305177
523233.2382151787679-1.23821517876794
533233.1631616049645-1.16316160496449
543435.6394325509154-1.6394325509154
553233.0737657767543-1.07376577675433
563734.7245925324042.27540746759601
573935.09110386638373.9088961336163
582934.8702665481524-5.87026654815243
593735.56920308879621.43079691120378
603535.1343056943995-0.134305694399452
613031.7403993067557-1.74039930675574
623835.13642693199632.86357306800366
633435.1284471565761-1.12844715657605
643134.297908792826-3.29790879282601
653433.43167066362330.568329336376746
663536.2370039267483-1.23700392674831
673635.22832333729350.771676662706513
683033.3617610229589-3.36176102295885
693935.54255892564873.45744107435128
703535.8483097220766-0.84830972207659
713834.12226561268733.87773438731271
723135.3261622024759-4.3261622024759
733437.189529041684-3.18952904168403
743837.59480481197330.405195188026675
753432.81251956063841.18748043936163
763934.32201446912114.67798553087886
773735.71340108066471.28659891933532
783433.73962293527790.260377064722058
792833.0450378353998-5.04503783539976
803731.94005509408685.05994490591321
813335.7891679099222-2.78916790992224
823736.90255541069470.0974445893052583
833535.7927221881641-0.792722188164105
843734.26652266913792.73347733086208
853234.648308922344-2.64830892234401
863334.1665298228058-1.1665298228058
873836.4418950518231.55810494817701
883334.6780776061043-1.67807760610427
892933.5225186085934-4.5225186085934
903333.778165856647-0.778165856647038
913134.7006648754386-3.70066487543858
923633.35185535508162.64814464491841
933537.2942459853325-2.29424598533248
943232.6605740768731-0.660574076873088
952932.704327853116-3.70432785311596
963936.00691383866932.99308616133069
973734.68397834343792.31602165656213
983534.32189655664380.678103443356201
993735.03672350327971.96327649672026
1003235.2080683654254-3.20806836542544
1013835.28124071141452.71875928858546
1023735.06573971701581.93426028298425
1033636.8107371557923-0.810737155792331
1043232.1492486455186-0.149248645518629
1053336.6959083027398-3.69590830273981
1064032.75684257928117.24315742071889
1073835.39232124546312.60767875453687
1084136.27832605035864.72167394964136
1093634.47652572554241.52347427445757
1104335.89480060454547.10519939545462
1113034.8828289965387-4.88282899653871
1123133.9229164406399-2.92291644063991
1133237.7852040217218-5.78520402172178
1143232.9101169928898-0.910116992889824
1153733.81989072831063.1801092716894
1163734.72902851651032.27097148348969
1173335.3276386858695-2.32763868586949
1183436.4672034191795-2.46720341917947
1193334.0579114511292-1.05791145112923
1203835.64498969873032.35501030126965
1213334.2124368006349-1.21243680063491
1223132.0440468480585-1.04404684805848
1233835.79718302615832.20281697384171
1243735.69693181163391.30306818836611
1253333.0348059305725-0.03480593057251
1263133.8860100955664-2.88601009556636
1273934.35526842196394.64473157803614
1284436.78442360405987.21557639594018
1293335.515767622528-2.51576762252798
1303533.04471483705931.95528516294067
1313234.3802381494279-2.38023814942795
1322831.7317876714682-3.73178767146819
1334036.2386062157493.76139378425104
1342731.7677943010091-4.76779430100913
1353735.20794680824631.79205319175365
1363232.5662424058051-0.566242405805134
1372829.1452964019555-1.14529640195553
1383434.1776072128656-0.177607212865595
1393032.8381632666319-2.83816326663188
1403533.53154129096141.46845870903855
1413132.6648280427604-1.66482804276035
1423234.4853382610347-2.48533826103465
1433034.8313178385976-4.8313178385976
1443034.8755274328255-4.87552743282555
1453130.88203334083090.117966659169051
1464032.56322495744227.43677504255785
1473232.48095590845-0.48095590845001
1483633.62626526159122.37373473840884
1493233.2912950988739-1.29129509887387
1503532.93227537413892.06772462586115
1513835.28115748012542.71884251987456
1524234.99152870988577.00847129011429
1533436.1901152131684-2.19011521316842
1543536.8017745946462-1.80177459464623
1553533.93776549183331.06223450816666
1563331.96219839389821.03780160610181
1573632.84499479541473.15500520458529
1583235.1015539752482-3.10155397524819
1593335.2818319796048-2.28183197960481
1603433.99878961098230.00121038901768139
1613234.1861587674057-2.18615876740573
1623434.288974677784-0.288974677783981


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.3737384931473790.7474769862947580.626261506852621
130.9541481874520090.09170362509598110.0458518125479906
140.9207487430257620.1585025139484760.0792512569742379
150.8933829420385780.2132341159228440.106617057961422
160.8974544909100410.2050910181799170.102545509089959
170.8714528444457030.2570943111085940.128547155554297
180.8442641077571670.3114717844856660.155735892242833
190.801903017822160.396193964355680.19809698217784
200.8142060231926740.3715879536146520.185793976807326
210.8151967798591790.3696064402816420.184803220140821
220.7632467605443390.4735064789113220.236753239455661
230.7370418589554320.5259162820891360.262958141044568
240.6749536377351680.6500927245296650.325046362264832
250.6862243416156860.6275513167686280.313775658384314
260.8132930014590220.3734139970819560.186706998540978
270.8101223589867210.3797552820265580.189877641013279
280.768422690334820.4631546193303610.23157730966518
290.764882673700350.4702346525993010.23511732629965
300.7140992617898640.5718014764202720.285900738210136
310.6694981740795590.6610036518408810.330501825920441
320.7792112520161390.4415774959677210.220788747983861
330.8012146952133260.3975706095733480.198785304786674
340.7607525208190610.4784949583618780.239247479180939
350.7141403604613370.5717192790773270.285859639538663
360.6738794019470570.6522411961058860.326120598052943
370.6546684304970920.6906631390058160.345331569502908
380.637579733578370.7248405328432590.36242026642163
390.7207914715581980.5584170568836040.279208528441802
400.6733700781220870.6532598437558260.326629921877913
410.6566461377498250.686707724500350.343353862250175
420.6075050463891220.7849899072217560.392494953610878
430.5854067639335580.8291864721328840.414593236066442
440.5409125238865370.9181749522269270.459087476113463
450.6453998397413840.7092003205172330.354600160258616
460.6584405923029230.6831188153941550.341559407697077
470.646992633224380.706014733551240.35300736677562
480.6124018084155880.7751963831688250.387598191584412
490.5629522285590440.8740955428819120.437047771440956
500.5921487697301080.8157024605397840.407851230269892
510.6259787666225980.7480424667548030.374021233377402
520.5819954375863350.836009124827330.418004562413665
530.5351578540076350.929684291984730.464842145992365
540.4880036993141490.9760073986282990.511996300685851
550.4408531950507930.8817063901015850.559146804949208
560.4395092295288820.8790184590577640.560490770471118
570.4744914778456510.9489829556913020.525508522154349
580.5972357761915380.8055284476169240.402764223808462
590.5580512986517830.8838974026964340.441948701348217
600.508870194320970.9822596113580590.49112980567903
610.4706946684719620.9413893369439230.529305331528038
620.4578891386029820.9157782772059650.542110861397018
630.419878870425250.83975774085050.58012112957475
640.417695567677020.835391135354040.58230443232298
650.3722807117579640.7445614235159270.627719288242036
660.3323855264071620.6647710528143240.667614473592838
670.295883260958420.591766521916840.70411673904158
680.3184584158539480.6369168317078950.681541584146052
690.3396181086448730.6792362172897470.660381891355127
700.2983528990087950.5967057980175890.701647100991205
710.3373368027210130.6746736054420250.662663197278987
720.3671140376474940.7342280752949870.632885962352506
730.3598551273975450.719710254795090.640144872602455
740.3177336190404950.635467238080990.682266380959505
750.2846563532665070.5693127065330130.715343646733493
760.3507108442389920.7014216884779830.649289155761008
770.3158493963382140.6316987926764280.684150603661786
780.2754223479733360.5508446959466720.724577652026664
790.3319076858446920.6638153716893840.668092314155308
800.4104368083325140.8208736166650270.589563191667486
810.3949963702394360.7899927404788710.605003629760565
820.3504810119340870.7009620238681740.649518988065913
830.3088000999212880.6176001998425760.691199900078712
840.3018456988178840.6036913976357680.698154301182116
850.2838078734071420.5676157468142840.716192126592858
860.2478486811708040.4956973623416080.752151318829196
870.2254232224455020.4508464448910040.774576777554498
880.19798713426520.39597426853040.8020128657348
890.2270067717681020.4540135435362050.772993228231898
900.1962332251373020.3924664502746040.803766774862698
910.2104455695043980.4208911390087970.789554430495602
920.1992460549551720.3984921099103430.800753945044828
930.187432948247560.374865896495120.81256705175244
940.1591842696192530.3183685392385060.840815730380747
950.1695706979194550.339141395838910.830429302080545
960.1667367169808660.3334734339617310.833263283019134
970.1529906549060690.3059813098121380.847009345093931
980.1276964908771530.2553929817543060.872303509122847
990.1121013565561670.2242027131123340.887898643443833
1000.1136427184677990.2272854369355990.886357281532201
1010.105538435132770.211076870265540.89446156486723
1020.09177800333626640.1835560066725330.908221996663734
1030.07458892781791970.1491778556358390.92541107218208
1040.05901162547961710.1180232509592340.940988374520383
1050.07111166183347540.1422233236669510.928888338166524
1060.1654474316154980.3308948632309950.834552568384502
1070.1541342585794410.3082685171588810.845865741420559
1080.1792659571130180.3585319142260360.820734042886982
1090.1670920427395060.3341840854790120.832907957260494
1100.4010802772805430.8021605545610870.598919722719457
1110.4535303865093830.9070607730187650.546469613490617
1120.4274341134379450.8548682268758890.572565886562055
1130.5363428089743820.9273143820512370.463657191025618
1140.4875059344114170.9750118688228340.512494065588583
1150.4775964776339110.9551929552678210.522403522366089
1160.4462176954473260.8924353908946510.553782304552674
1170.412678335721010.8253566714420190.58732166427899
1180.3839129044231350.767825808846270.616087095576865
1190.3382336062788240.6764672125576480.661766393721176
1200.3043032386199790.6086064772399590.695696761380021
1210.2602093179466690.5204186358933370.739790682053331
1220.2197472083908590.4394944167817180.780252791609141
1230.1881148804911350.376229760982270.811885119508865
1240.1544595378417720.3089190756835430.845540462158228
1250.1225183228092180.2450366456184350.877481677190783
1260.1314860476218080.2629720952436160.868513952378192
1270.1468726796327240.2937453592654490.853127320367276
1280.3347912281527460.6695824563054930.665208771847253
1290.294554129679660.589108259359320.70544587032034
1300.2659605872628650.5319211745257290.734039412737135
1310.2266198278989330.4532396557978660.773380172101067
1320.2541114998017120.5082229996034240.745888500198288
1330.3684387151878360.7368774303756730.631561284812164
1340.4537871635945640.9075743271891270.546212836405436
1350.421230428147130.8424608562942610.57876957185287
1360.3523546780258550.7047093560517110.647645321974145
1370.296652483234660.593304966469320.70334751676534
1380.2517353242481850.5034706484963690.748264675751815
1390.2615044314888610.5230088629777220.738495568511139
1400.219506972665610.439013945331220.78049302733439
1410.4088977940273270.8177955880546540.591102205972673
1420.3380942186314020.6761884372628040.661905781368598
1430.3638771811966320.7277543623932640.636122818803368
1440.7761956435245920.4476087129508170.223804356475408
1450.6863754371365630.6272491257268750.313624562863437
1460.9450979427914990.1098041144170030.0549020572085014
1470.896339982334740.207320035330520.10366001766526
1480.9218561480868890.1562877038262220.0781438519131109
1490.9873141373246090.0253717253507820.012685862675391
1500.9941668222321530.01166635553569470.00583317776784737


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0143884892086331OK
10% type I error level30.0215827338129496OK