Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 3.74007460639926 + 0.10629705754098Connected[t] -0.0161704039113756Separate[t] + 0.530388916240316Software[t] + 0.0519271641151573Happiness[t] -0.0642629312219422Depression[t] + 0.0414421853284572Belonging[t] -0.0543502456696904Belonging_Final[t] + 0.239499489964398Month[t] -0.00816613564800637`T\r`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.740074606399265.2899540.7070.480640.24032
Connected0.106297057540980.0473652.24420.0262640.013132
Separate-0.01617040391137560.04523-0.35750.7212010.3606
Software0.5303889162403160.0696327.61700
Happiness0.05192716411515730.0766330.67760.4990510.249526
Depression-0.06426293122194220.056687-1.13370.2587240.129362
Belonging0.04144218532845720.0448550.92390.3569910.178496
Belonging_Final-0.05435024566969040.064168-0.8470.3983260.199163
Month0.2394994899643980.5384960.44480.6571290.328564
`T\r`-0.008166135648006370.009445-0.86460.3886170.194308


Multiple Linear Regression - Regression Statistics
Multiple R0.603773378399474
R-squared0.364542292463915
Adjusted R-squared0.326916507149278
F-TEST (value)9.68862947086731
F-TEST (DF numerator)9
F-TEST (DF denominator)152
p-value1.25052190824704e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.85107414612956
Sum Squared Residuals520.824275159329


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.4088279697896-3.40882796978957
21616.3616102620851-0.361610262085067
31916.57384462378152.42615537621848
41512.20706156489162.79293843510841
51415.896398114974-1.89639811497405
61315.2434803536521-2.2434803536521
71915.34604932763133.65395067236869
81516.9599520164756-1.95995201647558
91416.2047105333854-2.2047105333854
101512.85339183175412.14660816824594
111615.49854043253010.501459567469945
121616.3559762907244-0.355976290724411
131615.67664506889970.323354931100293
141615.52210558048840.477894419511606
151717.6553764240305-0.655376424030509
161515.2717985182772-0.27179851827716
171514.85957812378040.140421876219626
182016.42592799648073.57407200351927
191815.61409218683292.38590781316714
201615.38197945372030.618020546279691
211615.41791435309020.582085646909759
221614.97268385025251.02731614974753
231916.53405972635052.46594027364946
241614.86945443653251.13054556346748
251715.00673389991541.99326610008456
261717.068924210211-0.0689242102109929
271615.17619135413020.823808645869838
281516.2329973069108-1.23299730691076
291615.66355447205110.336445527948857
301414.1559480432815-0.15594804328146
311515.7542053134331-0.75420531343307
321212.3853616995124-0.385361699512414
331415.2071523821234-1.20715238212342
341615.61662893031590.383371069684056
351415.7789836902402-1.77898369024024
36713.0499095835898-6.04990958358984
371011.1390730804921-1.1390730804921
381415.8560814803261-1.85608148032609
391614.35193929754081.64806070245924
401614.66881172823481.33118827176519
411615.10168756066560.898312439334388
421415.6456426199675-1.64564261996752
432017.78314626491642.2168537350836
441414.2205038484227-0.220503848422684
451414.9115341468375-0.911534146837498
461115.6314612382014-4.6314612382014
471416.3726825490431-2.37268254904314
481514.97595056659810.0240494334019046
491615.24475538862040.755244611379624
501416.0043292245094-2.00432922450942
511616.4722042658797-0.47220426587965
521414.1211296994798-0.121129699479778
531214.7096789630403-2.70967896304028
541615.14202833180490.857971668195075
55911.7924121002763-2.79241210027627
561412.87853443660041.12146556339964
571616.2464354592291-0.246435459229137
581615.25337874865380.746621251346185
591515.5071177920042-0.507117792004219
601614.34266822076161.65733177923839
611211.67318471136850.32681528863151
621616.13211571831-0.132115718309967
631616.639514452837-0.639514452836983
641414.4733948319109-0.473394831910915
651615.46956437542630.530435624573701
661716.07784471978430.922155280215729
671816.20531606761321.79468393238675
681814.81525143248323.18474856751682
691215.9240799249445-3.92407992494445
701615.50622596893670.493774031063306
711013.5323166499722-3.53231664997223
721414.3733298113186-0.373329811318643
731816.63933521025491.36066478974514
741817.15430103202990.845698967970113
751615.79656755227430.203432447725716
761714.00275963434132.99724036565873
771616.3472552498339-0.347255249833948
781614.49588972020411.50411027979592
791314.9097229542872-1.90972295428718
801615.88384252563210.116157474367901
811615.60978442990970.390215570090324
822016.58010003165133.4198999683487
831615.64121449527020.358785504729835
841515.9610473227952-0.961047322795247
851514.72711698417730.272883015822655
861614.27134029586021.72865970413976
871414.2126505851834-0.21265058518344
881615.27175132225350.728248677746526
891614.49354123758371.50645876241633
901514.25256193350210.747438066497919
911213.4510375634424-1.45103756344239
921716.80428898214750.19571101785254
931615.43212266455790.567877335442117
941515.2333380158787-0.233338015878683
951315.1147932667923-2.11479326679232
961615.10331601172880.896683988271248
971615.72240654512650.277593454873498
981614.07987016036781.92012983963216
991615.99836123378010.00163876621991991
1001414.2274893378125-0.227489337812515
1011617.1368657862717-1.13686578627166
1021614.67786628438031.32213371561971
1032017.23423283393192.76576716606814
1041514.38558448446340.614415515536571
1051614.45923214460371.54076785539632
1061315.2046128124108-2.20461281241082
1071715.81837095713791.18162904286212
1081615.70136261427890.298637385721081
1091614.57911579705491.42088420294511
1101212.3334274452368-0.33342744523678
1111615.08623651094420.913763489055831
1121615.92955782726740.0704421727326258
1131714.65040271449832.34959728550172
1141314.8857767924122-1.88577679241219
1151214.8812282728164-2.88122827281636
1161816.60956160719211.39043839280794
1171415.4467929398542-1.44679293985422
1181413.02246447465630.977535525343722
1191314.9043300806438-1.90433008064381
1201615.72002285588960.279977144110386
1211314.2337445170634-1.23374451706343
1221615.60875828090020.391241719099804
1231315.9689001865556-2.96890018655563
1241616.9658773338424-0.965877333842365
1251515.9069120208579-0.906912020857936
1261616.7506870871869-0.750687087186898
1271515.3786827579585-0.378682757958487
1281716.12544987354350.874550126456538
1291513.77628396747851.22371603252147
1301214.8699390152938-2.86993901529383
1311614.10442263100711.89557736899294
1321013.3330421125858-3.33304211258581
1331614.0123767606571.98762323934301
1341213.8341890470438-1.83418904704377
1351415.5296861593587-1.52968615935867
1361515.0100554358192-0.0100554358192433
1371312.18734867128970.812651328710258
1381514.28550279279220.714497207207785
1391113.0449242076823-2.04492420768234
1401213.1953298686764-1.19532986867643
141813.2609374367138-5.26093743671379
1421612.89039922238273.10960077761732
1431513.25986446491971.74013553508029
1441716.41671683633330.583283163666676
1451614.64673615604841.35326384395158
1461013.9990576665086-3.99905766650865
1471815.68893189224552.31106810775448
1481314.9322099292929-1.93220992929291
1491614.94699142416621.05300857583376
1501312.89760999573090.102390004269074
1511012.9645495444589-2.96454954445895
1521516.1965981578317-1.19659815783172
1531613.86477842649472.13522157350527
1541611.83346619394834.16653380605169
1551412.29133158912311.70866841087693
1561012.3292318404084-2.32923184040839
1571716.51298965499140.487010345008556
1581311.41960344202681.58039655797315
1591513.53129989803831.46870010196166
1601614.80488019313511.19511980686486
1611212.3684986825072-0.368498682507156
1621312.33297748734070.667022512659322


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.7350477299511560.5299045400976890.264952270048844
140.7093652564506990.5812694870986020.290634743549301
150.5875381672437980.8249236655124050.412461832756202
160.4743750045100920.9487500090201850.525624995489908
170.3958536917275870.7917073834551730.604146308272413
180.5500489667629840.8999020664740320.449951033237016
190.4639860939310250.927972187862050.536013906068975
200.3752441588448290.7504883176896570.624755841155171
210.3047520518411090.6095041036822170.695247948158891
220.2967272798294740.5934545596589490.703272720170526
230.4221430541071940.8442861082143870.577856945892806
240.4942549245932760.9885098491865530.505745075406724
250.4395413319927770.8790826639855530.560458668007223
260.3713319066188480.7426638132376970.628668093381152
270.3422309310228680.6844618620457370.657769068977132
280.4453952860818760.8907905721637520.554604713918124
290.3875729063908280.7751458127816560.612427093609172
300.4967960785336750.9935921570673510.503203921466325
310.445878684330320.8917573686606390.55412131566968
320.4084331702523120.8168663405046240.591566829747688
330.3964150900283340.7928301800566670.603584909971666
340.3644179900975780.7288359801951560.635582009902422
350.3167311290116480.6334622580232950.683268870988352
360.8609319019914530.2781361960170930.139068098008547
370.8337842691010710.3324314617978580.166215730898929
380.8159082231757310.3681835536485380.184091776824269
390.8459954608416680.3080090783166640.154004539158332
400.8332948754019140.3334102491961710.166705124598086
410.8054683452346950.389063309530610.194531654765305
420.778306906741260.443386186517480.22169309325874
430.8064189036607240.3871621926785520.193581096339276
440.7664332107323530.4671335785352940.233566789267647
450.7371131531845510.5257736936308990.26288684681545
460.8763630578542660.2472738842914680.123636942145734
470.9008005713472840.1983988573054310.0991994286527155
480.8794022185246940.2411955629506130.120597781475306
490.875679412115220.2486411757695610.12432058788478
500.8717648253798140.2564703492403720.128235174620186
510.8469002511924180.3061994976151640.153099748807582
520.8194320317869810.3611359364260390.180567968213019
530.8421775570371260.3156448859257470.157822442962874
540.8111281899106980.3777436201786050.188871810089302
550.8174970060313590.3650059879372820.182502993968641
560.8073393380543850.3853213238912310.192660661945615
570.7715027068203860.4569945863592280.228497293179614
580.7485740288015780.5028519423968440.251425971198422
590.7118121296730430.5763757406539140.288187870326957
600.7023824233903070.5952351532193860.297617576609693
610.6597253045806240.6805493908387510.340274695419376
620.6146541812840590.7706916374318810.385345818715941
630.5730399517943090.8539200964113830.426960048205691
640.5259317779360960.9481364441278070.474068222063904
650.4816436630432920.9632873260865840.518356336956708
660.4439493732417460.8878987464834930.556050626758254
670.4322666662222460.8645333324444930.567733333777754
680.5542171421277380.8915657157445240.445782857872262
690.693353400959110.613293198081780.30664659904089
700.6542973028504080.6914053942991840.345702697149592
710.7802306267543120.4395387464913760.219769373245688
720.7454355137859730.5091289724280540.254564486214027
730.7356423230376130.5287153539247740.264357676962387
740.7155279973012230.5689440053975540.284472002698777
750.6738173830324720.6523652339350560.326182616967528
760.7279389689021940.5441220621956110.272061031097806
770.6882712136652540.6234575726694930.311728786334746
780.6696520638062590.6606958723874830.330347936193741
790.6826943722661920.6346112554676170.317305627733808
800.6391581308616030.7216837382767940.360841869138397
810.6009273128701160.7981453742597680.399072687129884
820.7353871004699210.5292257990601580.264612899530079
830.6984828958389560.6030342083220890.301517104161045
840.6676414560329520.6647170879340960.332358543967048
850.6254701885417830.7490596229164340.374529811458217
860.6146262123932370.7707475752135270.385373787606763
870.5699029630956590.8601940738086810.430097036904341
880.5271981529293190.9456036941413620.472801847070681
890.5012531134020990.9974937731958020.498746886597901
900.4617031726262180.9234063452524350.538296827373782
910.453192375152390.906384750304780.54680762484761
920.4083066481294640.8166132962589270.591693351870536
930.367048019932950.7340960398658990.63295198006705
940.3238857438289830.6477714876579650.676114256171017
950.3617960429312610.7235920858625230.638203957068739
960.3261469525736630.6522939051473260.673853047426337
970.2836541136066020.5673082272132050.716345886393398
980.2751700375702810.5503400751405620.724829962429719
990.2368564892167120.4737129784334240.763143510783288
1000.2149215660634770.4298431321269540.785078433936523
1010.2043618768492220.4087237536984450.795638123150778
1020.1793874692785420.3587749385570830.820612530721458
1030.201511471408940.4030229428178790.79848852859106
1040.1716027467569430.3432054935138860.828397253243057
1050.155795662593060.311591325186120.84420433740694
1060.1745421125471450.349084225094290.825457887452855
1070.148070445119380.2961408902387610.85192955488062
1080.1206864165818920.2413728331637850.879313583418108
1090.1139260314348220.2278520628696450.886073968565178
1100.1139666537640920.2279333075281840.886033346235908
1110.1008369630144730.2016739260289460.899163036985527
1120.08631700092600690.1726340018520140.913682999073993
1130.1128167966636660.2256335933273330.887183203336334
1140.1081970597281230.2163941194562460.891802940271877
1150.1309768702360880.2619537404721760.869023129763912
1160.1351528304048510.2703056608097030.864847169595149
1170.1161042372146040.2322084744292070.883895762785396
1180.1161709150495860.2323418300991730.883829084950414
1190.1074155656270240.2148311312540490.892584434372976
1200.1208961522177390.2417923044354780.879103847782261
1210.0984966414227820.1969932828455640.901503358577218
1220.08575339193961290.1715067838792260.914246608060387
1230.08416505390938750.1683301078187750.915834946090613
1240.06517130135573860.1303426027114770.934828698644261
1250.04968220465614570.09936440931229140.950317795343854
1260.03712283553875170.07424567107750340.962877164461248
1270.0266818487647430.0533636975294860.973318151235257
1280.02506710815624680.05013421631249360.974932891843753
1290.02730235965031030.05460471930062060.97269764034969
1300.02709972883853050.05419945767706090.972900271161469
1310.02926073024356750.05852146048713510.970739269756432
1320.03105690294464840.06211380588929680.968943097055352
1330.06465272839456680.1293054567891340.935347271605433
1340.06686186369578290.1337237273915660.933138136304217
1350.05047234699843260.1009446939968650.949527653001567
1360.04044115521877750.08088231043755490.959558844781223
1370.02853364750960070.05706729501920140.971466352490399
1380.03393284323431940.06786568646863870.966067156765681
1390.02781545167447010.05563090334894010.97218454832553
1400.01790554516046340.03581109032092690.982094454839537
1410.4593509949905920.9187019899811840.540649005009408
1420.3980550575217690.7961101150435380.601944942478231
1430.3260032705631260.6520065411262520.673996729436874
1440.2425303494916320.4850606989832640.757469650508368
1450.1714685210743680.3429370421487350.828531478925632
1460.2016392543541520.4032785087083040.798360745645848
1470.2193763140507510.4387526281015020.780623685949249
1480.4603528319308540.9207056638617090.539647168069145
1490.4439263838866240.8878527677732490.556073616113376


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0072992700729927OK
10% type I error level130.0948905109489051OK