Multiple Linear Regression - Estimated Regression Equation
learning[t] = + 7.13849143549936 -0.19541119211959month[t] + 0.543562867871674software[t] + 0.0595549258757396happiness[t] -0.0646170437037978depression[t] + 0.0400975540319473belonging[t] -0.0562249832541988belonging_final[t] + 0.111120048323479connected[t] -0.0171256307170541separate[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7.138491435499363.6143341.97510.0500620.025031
month-0.195411192119590.301057-0.64910.5172570.258629
software0.5435628678716740.0690997.866500
happiness0.05955492587573960.0765250.77820.4376310.218816
depression-0.06461704370379780.05734-1.12690.2615450.130772
belonging0.04009755403194730.0451120.88880.3754810.187741
belonging_final-0.05622498325419880.064373-0.87340.3837990.191899
connected0.1111200483234790.0471952.35450.0198190.009909
separate-0.01712563071705410.045226-0.37870.7054570.352728


Multiple Linear Regression - Regression Statistics
Multiple R0.598729202174744
R-squared0.358476657536806
Adjusted R-squared0.324932953355723
F-TEST (value)10.6868536522266
F-TEST (DF numerator)8
F-TEST (DF denominator)153
p-value7.11086745042167e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.85379966537436
Sum Squared Residuals525.79569949934


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.1920284722714-3.19202847227137
21616.0867606404863-0.086760640486277
31916.30289294131782.69710705868223
41511.84130999079983.15869000920022
51415.647527068189-1.64752706818902
61314.9895969285293-1.98959692852927
71915.16237243733483.83762756266521
81516.7269914184294-1.72699141842944
91415.9877179884548-1.98771798845476
101512.55997794784112.44002205215887
111615.2860325611210.713967438878996
121616.2450461284938-0.245046128493805
131615.4770903087430.522909691257007
141615.39997384287430.600026157125654
151717.5009282996742-0.500928299674175
161515.1239299406807-0.123929940680651
171514.67404359820360.325956401796412
182016.26841490815773.73158509184229
191815.49050784022392.50949215977606
201615.2846849128210.715315087178965
211615.31056159822310.689438401776896
221614.81957205044991.18042794955006
231916.49722381427382.50277618572619
241614.77768358705451.22231641294552
251714.8838549956132.11614500438701
261716.97368083622760.0263191637723657
271615.08817520945560.911824790544357
281516.1803293864933-1.18032938649329
291615.5905311462310.409468853768975
301414.0560746879148-0.0560746879147753
311515.6918545226112-0.691854522611165
321212.2953166223489-0.295316622348885
331415.1914819800671-1.19148198006714
341615.56156027770160.438439722298424
351415.7663749381685-1.76637493816853
36712.9843960516783-5.98439605167827
371011.0222297452183-1.02222974521833
381415.8848924668938-1.88489246689382
391614.33433441387641.66566558612355
401614.67280079367341.32719920632658
411615.12770623688980.872293763110152
421415.6971384415886-1.6971384415886
432017.95356131256272.04643868743733
441414.2915940902356-0.291594090235572
451414.9676171226496-0.967617122649589
461115.7073067942432-4.70730679424319
471416.5012074540298-2.50120745402984
481515.0471761334037-0.0471761334036503
491615.3574778114270.642522188572993
501416.1177056358295-2.11770563582955
511616.6145714398191-0.61457143981907
521414.2241591503592-0.224159150359196
531214.8310597751438-2.83105977514378
541615.28313528344830.716864716551666
55911.6113445458156-2.61134454581564
561412.72734877584731.27265122415274
571616.2039075589066-0.203907558906594
581615.17961239615020.820387603849779
591515.4318371730387-0.431837173038739
601614.25690758933941.74309241066061
611211.54888400364040.451115996359571
621616.0990324387555-0.0990324387555359
631616.6054424987364-0.605442498736434
641414.4755353551307-0.475535355130701
651615.51287800197610.487121998023938
661715.84379207254161.15620792745835
671816.0367880401561.96321195984401
681814.59593219820913.40406780179092
691215.7986894450369-3.79868944503691
701615.35665449136520.643345508634752
711013.3453058388218-3.34530583882181
721414.2509852204631-0.250985220463126
731816.5068467099131.49315329008702
741817.07955599053440.920444009465595
751615.64319547401780.356804525982157
761713.83607371148933.16392628851066
771616.2900569221169-0.290056922116905
781614.37931441010121.62068558989885
791314.7858404970916-1.7858404970916
801615.85868780075880.141312199241163
811615.52146676384940.478533236150585
822016.67743674741653.32256325258351
831615.59125986818550.408740131814465
841515.9403513570373-0.940351357037348
851514.66818515366930.331814846330661
861614.19476007708991.80523992291009
871414.1616021894194-0.161602189419441
881615.25547044840130.744529551598692
891614.49639699836291.50360300163705
901514.1934137317280.806586268272044
911213.4178285037396-1.41782850373964
921716.90492594024230.0950740597576777
931615.44864951143960.551350488560388
941515.2371713561589-0.237171356158882
951315.1091201175879-2.10912011758789
961615.14448881470040.85551118529957
971615.7925848690290.207415130971025
981614.09899393055891.90100606944106
991616.0870532118844-0.087053211884415
1001414.2675453613905-0.267545361390544
1011617.2838519578238-1.28385195782379
1021614.7533993829051.24660061709498
1032017.36656318855632.63343681144375
1041514.46920092048920.530799079510783
1051614.54721680205341.45278319794661
1061315.3335955420167-2.33359554201674
1071715.97722991670961.02277008329044
1081615.88385955727410.116140442725885
1091614.50063279897721.49936720102275
1101212.2506833749084-0.250683374908364
1111614.98012446153491.01987553846506
1121615.85300361312750.146996386872521
1131714.51689897931722.48310102068275
1141314.9240123377016-1.92401233770162
1151214.8506025714075-2.85060257140747
1161816.5892923129071.410707687093
1171415.4716069833716-1.47160698337164
1181412.95261578475551.04738421524448
1191314.888633080924-1.88863308092397
1201615.69409214983950.30590785016049
1211314.2521312443242-1.25213124432418
1221615.62322149244460.376778507555358
1231315.9768657876015-2.97686578760153
1241617.0361549172139-1.03615491721392
1251515.9662974443689-0.966297444368874
1261616.805957327963-0.805957327962962
1271515.4175730688417-0.417573068841661
1281716.24453662718880.755463372811213
1291513.81561808902191.18438191097815
1301214.954053885653-2.95405388565303
1311614.15960752094351.84039247905651
1321013.3680049257498-3.36800492574982
1331614.09235193554991.90764806445008
1341213.9314533586019-1.93145335860193
1351415.6665908818457-1.66659088184569
1361515.1226477046261-0.12264770462611
1371312.28979845221310.710201547786873
1381514.43608258653680.56391741346322
1391113.1728375568282-2.17283755682824
1401213.3395932394898-1.33959323948977
141813.3820861748007-5.38208617480073
1421613.0634494806832.93655051931695
1431513.37673592535121.62326407464885
1441716.59885687907580.401143120924245
1451614.83348484688481.16651515311521
1461014.1651894011198-4.16518940111977
1471815.9264604966732.073539503327
1481315.1753194573359-2.17531945733589
1491615.15691987535620.843080124643801
1501313.0666695506731-0.0666695506730648
1511013.1498240975415-3.14982409754151
1521516.4849473386869-1.48494733868688
1531614.11678044442251.88321955557748
1541612.21484922018853.78515077981149
1551412.49714015500211.50285984499791
1561012.540191817967-2.54019181796698
1571716.90492594024230.0950740597576777
1581311.64613723003481.35386276996517
1591513.81561808902191.18438191097815
1601615.08701355671430.912986443285705
1611212.5978246283454-0.597824628345433
1621312.41975353797670.580246462023333


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.7596690053381850.480661989323630.240330994661815
130.62257921916330.7548415616734010.3774207808367
140.582435660136410.835128679727180.41756433986359
150.462540002938730.925080005877460.53745999706127
160.3622408958746050.724481791749210.637759104125395
170.2990779281940360.5981558563880710.700922071805964
180.5059720583861910.9880558832276180.494027941613809
190.4215329146461660.8430658292923320.578467085353834
200.3322772163013920.6645544326027840.667722783698608
210.2622514671290490.5245029342580980.737748532870951
220.238943387702370.477886775404740.76105661229763
230.4351154878678040.8702309757356070.564884512132196
240.4699077599461940.9398155198923880.530092240053806
250.457754826968690.9155096539373790.54224517303131
260.4169426969809750.8338853939619490.583057303019025
270.476615581918380.953231163836760.52338441808162
280.4798453343453820.9596906686907650.520154665654618
290.4596599136559860.9193198273119720.540340086344014
300.5004823615828510.9990352768342970.499517638417149
310.439749298400250.8794985968004990.56025070159975
320.3905079462838960.7810158925677910.609492053716104
330.3641152359369270.7282304718738530.635884764063073
340.3291504737229260.6583009474458520.670849526277074
350.282675334072610.5653506681452210.71732466592739
360.8504199732150570.2991600535698870.149580026784943
370.8252866636581690.3494266726836630.174713336341831
380.8186983945868210.3626032108263570.181301605413179
390.8379888225505820.3240223548988360.162011177449418
400.8206577088210760.3586845823578470.179342291178923
410.7898858929962780.4202282140074450.210114107003722
420.7644694388271030.4710611223457940.235530561172897
430.7886004021524450.422799195695110.211399597847555
440.7476329501345320.5047340997309350.252367049865468
450.7192074334670230.5615851330659550.280792566532977
460.8738921093053380.2522157813893240.126107890694662
470.9182901492177370.1634197015645270.0817098507822634
480.8966855929673350.206628814065330.103314407032665
490.88102642674180.23794714651640.1189735732582
500.8807955969224320.2384088061551350.119204403077568
510.8545307814530670.2909384370938660.145469218546933
520.8237402254396240.3525195491207520.176259774560376
530.8455528540990440.3088942918019110.154447145900956
540.8297596104375910.3404807791248180.170240389562409
550.8486720515476780.3026558969046440.151327948452322
560.8216258575186630.3567482849626730.178374142481337
570.7894124656218410.4211750687563180.210587534378159
580.7640719102430830.4718561795138340.235928089756917
590.7311477036118970.5377045927762060.268852296388103
600.7197987525568820.5604024948862360.280201247443118
610.6816203758149760.6367592483700480.318379624185024
620.6416240325248210.7167519349503570.358375967475179
630.6117437621786270.7765124756427460.388256237821373
640.5728294353243060.8543411293513890.427170564675695
650.5297223977096350.9405552045807310.470277602290365
660.4851516067124480.9703032134248960.514848393287552
670.4676022649839940.9352045299679890.532397735016006
680.5206035877399340.9587928245201330.479396412260066
690.7438164883735150.512367023252970.256183511626485
700.7064414341483660.5871171317032670.293558565851634
710.8250744128803290.3498511742393410.174925587119671
720.792959734714190.4140805305716210.20704026528581
730.7834528390827180.4330943218345640.216547160917282
740.7629144169235890.4741711661528230.237085583076412
750.7257852152687060.5484295694625880.274214784731294
760.769231148572830.4615377028543390.23076885142717
770.7354340769941580.5291318460116830.264565923005842
780.7197139508112370.5605720983775260.280286049188763
790.7310829677823260.5378340644353490.268917032217674
800.6909507592880340.6180984814239320.309049240711966
810.6514618982532710.6970762034934570.348538101746729
820.7764896446436570.4470207107126870.223510355356343
830.740072589345880.519854821308240.25992741065412
840.7145583612882030.5708832774235950.285441638711797
850.6734620735144320.6530758529711370.326537926485568
860.6637893559818070.6724212880363850.336210644018193
870.620735744174410.7585285116511790.37926425582559
880.5800451746192190.8399096507615620.419954825380781
890.5590294675765870.8819410648468250.440970532423412
900.5251460464966220.9497079070067550.474853953503378
910.5121713902623710.9756572194752570.487828609737629
920.4735040355578210.9470080711156420.526495964442179
930.4301479542291810.8602959084583620.569852045770819
940.3880519679100680.7761039358201360.611948032089932
950.4038162259568290.8076324519136580.596183774043171
960.3681601265115440.7363202530230870.631839873488456
970.3285478977437850.657095795487570.671452102256215
980.3283240653788460.6566481307576930.671675934621154
990.2868331556780290.5736663113560570.713166844321971
1000.2486021538691490.4972043077382970.751397846130851
1010.2270318969726570.4540637939453140.772968103027343
1020.2105418507509720.4210837015019440.789458149249028
1030.25227104120740.50454208241480.7477289587926
1040.2158456635028730.4316913270057460.784154336497127
1050.2079588024658430.4159176049316870.792041197534157
1060.2233972476691210.4467944953382430.776602752330879
1070.2007847873446180.4015695746892360.799215212655382
1080.1779909179140550.3559818358281090.822009082085945
1090.1711716537887630.3423433075775250.828828346211237
1100.1587196149629460.3174392299258920.841280385037054
1110.1396190980834090.2792381961668170.860380901916591
1120.1165357531166340.2330715062332680.883464246883366
1130.1377232003429820.2754464006859640.862276799657018
1140.1242092448742260.2484184897484520.875790755125774
1150.1622174224928430.3244348449856860.837782577507157
1160.1530936601779370.3061873203558750.846906339822063
1170.1337791789393020.2675583578786030.866220821060698
1180.116180459638330.232360919276660.88381954036167
1190.117513986612960.235027973225920.88248601338704
1200.1083083644260110.2166167288520230.891691635573989
1210.09165090288227060.1833018057645410.908349097117729
1220.07280449323434490.145608986468690.927195506765655
1230.08166672309071620.1633334461814320.918333276909284
1240.06518883315833880.1303776663166780.934811166841661
1250.05257482712081110.1051496542416220.947425172879189
1260.03985327662072020.07970655324144050.96014672337928
1270.02963179551335610.05926359102671220.970368204486644
1280.0234937781425810.0469875562851620.976506221857419
1290.01808832298732340.03617664597464680.981911677012677
1300.02529721998784680.05059443997569360.974702780012153
1310.02175252500704760.04350505001409520.978247474992952
1320.03329249012054050.0665849802410810.96670750987946
1330.03702455293664460.07404910587328910.962975447063355
1340.05177437893577580.1035487578715520.948225621064224
1350.04124945978984080.08249891957968170.958750540210159
1360.02851822841742420.05703645683484850.971481771582576
1370.01933955422362360.03867910844724710.980660445776376
1380.01277528417228270.02555056834456540.987224715827717
1390.02451277325421610.04902554650843230.975487226745784
1400.0203819144764140.04076382895282810.979618085523586
1410.6147471192417470.7705057615165060.385252880758253
1420.5489522954172480.9020954091655040.451047704582752
1430.4615448914374960.9230897828749920.538455108562504
1440.385534252991920.7710685059838410.61446574700808
1450.29610470506230.5922094101245990.7038952949377
1460.2989241218499750.5978482436999510.701075878150025
1470.2550264584221610.5100529168443230.744973541577838
1480.7574024365827470.4851951268345060.242597563417253
1490.7424493127090660.5151013745818680.257550687290934
1500.5827096385395150.8345807229209710.417290361460485


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level70.0503597122302158NOK
10% type I error level140.100719424460432NOK