Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 5.70898691934613 + 0.105959670525903Connected[t] -0.0260018017531869Separate[t] + 0.575965070361028Software[t] + 0.0708931995534126Happiness[t] -0.0829610688988634Depression[t] + 0.00303304347695284Belonging[t] -0.00173898699833552t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.708986919346132.7684722.06210.0411260.020563
Connected0.1059596705259030.0497872.12820.0351470.017574
Separate-0.02600180175318690.046659-0.55730.5782680.289134
Software0.5759650703610280.0741837.764100
Happiness0.07089319955341260.0849530.83450.4054850.202742
Depression-0.08296106889886340.06303-1.31620.1903480.095174
Belonging0.003033043476952840.0157820.19220.8478940.423947
t-0.001738986998335520.003932-0.44230.6590070.329503


Multiple Linear Regression - Regression Statistics
Multiple R0.625737480297672
R-squared0.391547394249279
Adjusted R-squared0.359762556635436
F-TEST (value)12.3186847454191
F-TEST (DF numerator)7
F-TEST (DF denominator)134
p-value4.18443057981222e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.8196843162078
Sum Squared Residuals443.707635427455


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11615.47104468444110.528955315558916
21614.92040090857221.07959909142777
31916.49643087165052.50356912834954
41614.80319815117441.19680184882556
51714.73780148555042.26219851444961
61716.83242040155670.167579598443314
71614.81318053075451.18681946924546
81516.2505572310753-1.25055723107528
91615.38204697011250.617953029887508
101414.1003623053567-0.100362305356736
111515.7884232948316-0.788423294831586
121212.1656729948186-0.165672994818587
131415.1514025373707-1.15140253737069
141615.64238596619230.357614033807723
151415.5555138193456-1.55551381934558
16712.931517347401-5.93151734740102
171010.5718883104945-0.571888310494455
181415.8289659321642-1.82896593216424
191614.30845646855821.69154353144178
201614.58566779865661.41433220134339
211615.06176263985370.938237360146285
221415.5271938787826-1.52719387878259
232018.13726308710131.86273691289869
241414.1244126364062-0.124412636406199
251414.8710066155563-0.871006615556295
261115.4933771056537-4.49337710565371
271416.6758735959078-2.6758735959078
281514.98682342129560.0131765787043652
291615.00586531889670.994134681103321
301415.9993260746891-1.99932607468906
311616.6442899318665-0.644289931866478
321414.0579091853625-0.0579091853624841
331214.5734388856631-2.57343888566314
341615.62927973298360.370720267016383
35911.2158279027379-2.21582790273792
361412.48900043369191.51099956630811
371616.0848336501058-0.0848336501057932
381615.26321772955180.736782270448201
391515.2037450261959-0.203745026195902
401614.04222075636591.95777924363407
411211.1888591343580.811140865642047
421615.84955964525770.150440354742303
431616.4081239160178-0.408123916017793
441414.3315420802974-0.331542080297355
451615.48757473765670.512425262343314
461715.90206495145761.0979350485424
471816.16491848633551.83508151366454
481814.51447052751053.48552947248948
491215.8036983178068-3.80369831780675
501615.39136324592720.608636754072782
511013.4356465732072-3.43564657320721
521414.304516196213-0.304516196212977
531816.49947074224431.50052925775571
541817.08205351881630.917946481183653
551615.68931911768560.310680882314435
561713.6647639423223.33523605767803
571616.3948552598343-0.394855259834345
581614.46086781376931.53913218623069
591314.8972308964945-1.89723089649449
601616.0734340277607-0.0734340277607383
611615.4655304911130.534469508886973
622015.84086172079354.15913827920648
631615.78962784639710.21037215360292
641515.931891487274-0.931891487274026
651514.72446103250160.275538967498405
661614.19203299986021.80796700013982
671414.0009399937043-0.000939993704347349
681615.32117648240920.678823517590752
691614.58233035840941.41766964159062
701514.02087026778020.979129732219805
711213.4659920694422-1.46599206944216
721717.0467263021788-0.0467263021787771
731615.35458475466720.64541524533276
741515.1513400589163-0.151340058916251
751315.1175645148208-2.11756451482083
761614.99719981160171.00280018839828
771615.80569687543340.194303124566597
781613.97607460784562.02392539215438
791616.0579234968137-0.0579234968137048
801414.2484618653647-0.248461865364699
811617.3281275820727-1.32812758207272
821614.65720397362751.34279602637252
832017.45317558957352.54682441042648
841514.62862109987580.371378900124161
851614.35501898303811.64498101696193
861315.1453694900908-2.14536949009084
871716.03791105266160.96208894733844
881615.74918010879570.250819891204308
891614.42261823784321.57738176215684
901211.90581008290430.0941899170956652
911614.90770139682591.0922986031741
921615.79905580790060.200944192099431
931714.48346014969922.51653985030082
941314.2771323268367-1.27713232683665
951214.8509364773881-2.85093647738807
961816.68356247843961.31643752156038
971415.4792823293474-1.4792823293474
981412.83516742559991.16483257440006
991314.9141842200432-1.91418422004322
1001615.55813435390510.441865646094928
1011314.1736541778859-1.17365417788588
1021615.66341843258830.336581567411686
1031315.8746164193224-2.87461641932242
1041617.1543033457696-1.15430334576963
1051516.0767908814515-1.07679088145151
1061616.8394709523719-0.839470952371942
1071515.3974052626856-0.397405262685601
1081716.10496625297650.895033747023474
1091513.94380278927741.0561972107226
1101214.9071263620085-2.90712636200853
1111614.03264598828541.96735401171459
1121013.1636475556095-3.16364755560949
1131613.86385375962862.13614624037144
1141213.9433450129311-1.94334501293113
1151415.6453339855165-1.64533398551652
1161515.2770482712387-0.27704827123866
1171312.11954716811440.880452831885575
1181514.55409953224470.445900467755283
1191113.1466576650312-2.1466576650312
1201213.277497269171-1.27749726917101
121813.192300618056-5.19230061805598
1221613.0087709177262.99122908227404
1231513.20111788830341.79888211169661
1241716.65936934736280.340630652637155
1251614.81534717874541.18465282125462
1261014.0215863915473-4.0215863915473
1271816.03361196506041.96638803493962
1281315.1597746117288-2.15977461172878
1291615.14651694089820.853483059101805
1301312.82632571583620.173674284163753
1311012.9218993883106-2.92189938831062
1321516.2061099050722-1.20610990507217
1331613.87893527270482.12106472729517
1341611.69983598196284.30016401803716
1351412.17752993306941.82247006693064
1361012.4357082686839-2.43570826868387
1371716.9336921472870.0663078527130319
1381311.39376975677641.6062302432236
1391513.89163317932731.10836682067267
1401615.00145328149780.998546718502189
1411212.1643515174618-0.164351517461842
1421312.5398497549590.460150245041028


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.05300643585926840.1060128717185370.946993564140732
120.01583511919824960.03167023839649910.98416488080175
130.04646792085429130.09293584170858250.953532079145709
140.05096335876825860.1019267175365170.949036641231741
150.02341275096777930.04682550193555860.976587249032221
160.2978399972157920.5956799944315840.702160002784208
170.2145413673158420.4290827346316840.785458632684158
180.1518915917134630.3037831834269250.848108408286537
190.6037886583074890.7924226833850230.396211341692511
200.7612090166057310.4775819667885370.238790983394269
210.7561793185420390.4876413629159220.243820681457961
220.7115536985691760.5768926028616480.288446301430824
230.6996116693511390.6007766612977220.300388330648861
240.6296939781837810.7406120436324370.370306021816219
250.5627834365240690.8744331269518620.437216563475931
260.7330423597250.533915280550.266957640275
270.7025084092739710.5949831814520590.297491590726029
280.7153703020626470.5692593958747060.284629697937353
290.7108041169093670.5783917661812660.289195883090633
300.6737542191424880.6524915617150240.326245780857512
310.6353678960196730.7292642079606540.364632103980327
320.5942575153156960.8114849693686080.405742484684304
330.5882998537054940.8234002925890120.411700146294506
340.5857487752136260.8285024495727480.414251224786374
350.5722958753473090.8554082493053820.427704124652691
360.6189061029514620.7621877940970770.381093897048538
370.5607483117996570.8785033764006860.439251688200343
380.5900800157907030.8198399684185950.409919984209297
390.556547432388590.886905135222820.44345256761141
400.6112629224942510.7774741550114970.388737077505749
410.5886573259341290.8226853481317410.41134267406587
420.5390084082812110.9219831834375780.460991591718789
430.4924215784354760.9848431568709520.507578421564524
440.4394122010508790.8788244021017580.560587798949121
450.3872945885807370.7745891771614730.612705411419263
460.3850708411500540.7701416823001070.614929158849946
470.3721856974479250.7443713948958490.627814302552075
480.5030137036314820.9939725927370350.496986296368518
490.649386008240850.70122798351830.35061399175915
500.6067343328025290.7865313343949420.393265667197471
510.7048262377781380.5903475244437230.295173762221862
520.6632355080019990.6735289839960020.336764491998001
530.6462298268598390.7075403462803220.353770173140161
540.6180520137111370.7638959725777260.381947986288863
550.5690389450096670.8619221099806660.430961054990333
560.6345020721288050.7309958557423910.365497927871195
570.5899232097162110.8201535805675770.410076790283788
580.5563174725141760.8873650549716470.443682527485824
590.5846509348173890.8306981303652210.415349065182611
600.5364819743811810.9270360512376370.463518025618819
610.4911960327950560.9823920655901120.508803967204944
620.6929337699428750.614132460114250.307066230057125
630.6482684154542040.7034631690915930.351731584545796
640.6226341895968570.7547316208062870.377365810403143
650.5743017101883540.8513965796232920.425698289811646
660.5582436134274620.8835127731450770.441756386572538
670.5097425041814990.9805149916370030.490257495818501
680.4617780439976510.9235560879953010.538221956002349
690.4303573116925560.8607146233851130.569642688307444
700.3894512549733660.7789025099467320.610548745026634
710.3769360754938810.7538721509877620.623063924506119
720.3501387780979840.7002775561959680.649861221902016
730.3101825261832470.6203650523664940.689817473816753
740.2723852930259890.5447705860519770.727614706974011
750.3006044059380840.6012088118761680.699395594061916
760.2667704734336490.5335409468672980.733229526566351
770.2298408425903960.4596816851807920.770159157409604
780.2266725802497240.4533451604994490.773327419750276
790.1913462132907580.3826924265815170.808653786709242
800.1623114581240130.3246229162480260.837688541875987
810.1505845782540240.3011691565080470.849415421745976
820.1341044642871570.2682089285743130.865895535712844
830.1626245800086490.3252491600172980.837375419991351
840.1332224357342710.2664448714685430.866777564265729
850.1284790491747220.2569580983494440.871520950825278
860.1460634947345770.2921269894691540.853936505265423
870.1272944774177210.2545889548354420.872705522582279
880.1102540384644050.2205080769288110.889745961535595
890.1064099539880770.2128199079761540.893590046011923
900.1005400546926860.2010801093853720.899459945307314
910.08953529268043110.1790705853608620.910464707319569
920.07493833974812580.1498766794962520.925061660251874
930.1068161285143430.2136322570286860.893183871485657
940.09272547317590050.1854509463518010.907274526824099
950.1138070250217020.2276140500434050.886192974978298
960.1141421785290880.2282843570581760.885857821470912
970.09843863047264950.1968772609452990.90156136952735
980.09707297353812810.1941459470762560.902927026461872
990.09186069662880580.1837213932576120.908139303371194
1000.1028182484899390.2056364969798770.897181751510061
1010.0834629408439490.1669258816878980.916537059156051
1020.07281814041451660.1456362808290330.927181859585483
1030.07371805206624680.1474361041324940.926281947933753
1040.05760477134158660.1152095426831730.942395228658413
1050.04470767118045330.08941534236090660.955292328819547
1060.03374715049831280.06749430099662550.966252849501687
1070.02412967410890850.0482593482178170.975870325891091
1080.02449912392643970.04899824785287940.97550087607356
1090.02373296398050070.04746592796100140.976267036019499
1100.02481328138503950.0496265627700790.97518671861496
1110.02934011382061190.05868022764122370.970659886179388
1120.03157134241049490.06314268482098970.968428657589505
1130.07492237522620670.1498447504524130.925077624773793
1140.07646278017320380.1529255603464080.923537219826796
1150.06004385261317310.1200877052263460.939956147386827
1160.04536899432279240.09073798864558480.954631005677208
1170.03465714968329330.06931429936658650.965342850316707
1180.0314564842920680.0629129685841360.968543515707932
1190.03071020638188130.06142041276376260.969289793618119
1200.02093864262868020.04187728525736040.97906135737132
1210.3983983392551410.7967966785102820.601601660744859
1220.3557223133367970.7114446266735940.644277686663203
1230.3151625402165780.6303250804331560.684837459783422
1240.246737550290610.4934751005812190.75326244970939
1250.2010245577924280.4020491155848560.798975442207572
1260.2015471509504640.4030943019009280.798452849049536
1270.3070125446781220.6140250893562440.692987455321878
1280.6841822267756310.6316355464487380.315817773224369
1290.5879212500464560.8241574999070880.412078749953544
1300.4460129174012050.892025834802410.553987082598795
1310.6919352697950430.6161294604099130.308064730204957


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level70.0578512396694215NOK
10% type I error level160.132231404958678NOK