Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 5.75297936491273 -0.0282568887487843month[t] + 0.113576967565404Connected[t] -0.0200904826801223Separate[t] + 0.542745611256127Software[t] + 0.0596364628099267Happiness[t] -0.0704181393331173Depression[t] + 0.036427902180297Belonging[t] -0.0529848894217246Belonging_Final[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.752979364912733.7159641.54820.1236450.061823
month-0.02825688874878430.308202-0.09170.927070.463535
Connected0.1135769675654040.0473292.39970.017610.008805
Separate-0.02009048268012230.045392-0.44260.6586780.329339
Software0.5427456112561270.0692037.842800
Happiness0.05963646280992670.0766320.77820.4376440.218822
Depression-0.07041813933311730.057102-1.23320.2193920.109696
Belonging0.0364279021802970.0452630.80480.4221790.211089
Belonging_Final-0.05298488942172460.064685-0.81910.4139940.206997


Multiple Linear Regression - Regression Statistics
Multiple R0.597281724924451
R-squared0.356745458928728
Adjusted R-squared0.323111234558988
F-TEST (value)10.6066206554086
F-TEST (DF numerator)8
F-TEST (DF denominator)153
p-value8.61755111714047e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.85629928851646
Sum Squared Residuals527.21459842765


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.1298871909862-3.12988719098625
21615.98490240418990.0150975958101213
31916.19301699660612.80698300339387
41511.75194996130483.24805003869518
51415.4792474818291-1.47924748182913
61314.8982185716239-1.89821857162391
71915.07426079417653.92573920582352
81516.6137489839327-1.61374898393271
91415.8989289259795-1.89892892597955
101512.45139238548562.54860761451438
111615.2104264481530.789573551846969
121616.2056621680204-0.205662168020368
131615.37976920339820.62023079660177
141615.32186730431150.678132695688522
151717.3748468930913-0.374846893091318
161515.0375105708466-0.0375105708465517
171514.56882803354560.431171966454438
182016.14779282508543.85220717491464
191815.42466684245332.57533315754673
201615.21086421629930.789135783700652
211615.25273655649570.747263443504294
221614.72560508664081.27439491335921
231916.42892187987012.57107812012989
241614.69699328193451.30300671806546
251714.7867898294462.21321017055403
261716.89502781981490.10497218018505
271614.98148161014811.01851838985185
281516.0626264994801-1.06262649948007
291615.46241804003230.5375819599677
301413.97465403861730.0253459613826816
311515.6083599244513-0.608359924451314
321212.2019222280761-0.201922228076089
331415.1233355996756-1.1233355996756
341615.44859090316280.551409096837173
351415.6602911917052-1.66029119170525
36712.9152478891545-5.91524788915454
371010.8889504374052-0.888950437405246
381415.7949596849761-1.79495968497612
391614.23790470178871.76209529821132
401614.5975839330061.40241606699403
411615.05770425840620.942295741593818
421415.5793326532885-1.57933265328847
432017.922324513852.07767548614998
441414.2198343594375-0.219834359437496
451414.9087126469597-0.908712646959749
461115.6090626583327-4.60906265833273
471416.4370033401999-2.43700334019989
481514.94856776813280.0514322318672124
491615.22204876390250.777951236097505
501416.033091146378-2.03309114637805
511616.5096063780609-0.509606378060878
521414.1282023583104-0.128202358310439
531214.7060832465641-2.70608324656406
541615.2035474927170.796452507283037
55911.5325027780148-2.53250277801477
561412.64235342089951.35764657910053
571616.1081323561665-0.108132356166457
581615.09835812803810.901641871961943
591515.3403022878421-0.340302287842074
601614.14920930360891.85079069639109
611211.44655342676290.55344657323713
621615.99534784604530.00465215395471908
631616.4871677899959-0.487167789995944
641414.3591071719428-0.359107171942833
651615.41988624427580.58011375572415
661715.89768711757341.10231288242662
671816.09222188399431.90777811600571
681814.66295447043383.33704552956622
691215.8698834104958-3.86988341049582
701615.41205670433630.587943295663665
711013.4338517380073-3.43385173800731
721414.3145765357063-0.314576535706347
731816.53343362288931.46656637711072
741817.14555923500020.85444076499977
751615.71390547328230.286094526717688
761713.87757373252633.12242626747375
771616.3550903284348-0.355090328434813
781614.43977989913291.56022010086712
791314.8344777371261-1.83447773712611
801616.0033787094052-0.00337870940516579
811615.56858713400110.431412865998926
822016.76510634761033.23489365238973
831615.67804853709730.321951462902658
841516.0127720309633-1.01277203096326
851514.7330018447880.266998155211959
861614.2572348896311.74276511036905
871414.2144006920536-0.214400692053646
881615.32637403310220.673625966897797
891614.57180171948261.42819828051738
901514.20827089554020.791729104459763
911213.4730655989737-1.47306559897372
921716.99507732620880.00492267379117193
931615.48159657270440.518403427295559
941515.2777389354317-0.277738935431694
951315.169410386292-2.16941038629203
961615.20763719244970.792362807550259
971615.84940665956580.150593340434225
981614.17189228377391.82810771622611
991616.1492349207599-0.149234920759932
1001414.3306533767156-0.330653376715642
1011617.3553554421742-1.35535544217415
1021614.80365726693131.19634273306874
1032017.40734078781382.59265921218621
1041514.57281939472390.427180605276148
1051614.56049448861731.43950551138273
1061315.3870414692802-2.38704146928025
1071716.05393032135550.946069678644474
1081615.93237218064110.0676278193588523
1091614.58491404471421.41508595528583
1101212.3021051907114-0.302105190711376
1111615.00711181694150.992888183058528
1121615.89080772879270.109192271207325
1131714.54352633098622.45647366901377
1141314.9921541234457-1.9921541234457
1151214.9238074002447-2.92380740024473
1161816.66015823769241.33984176230764
1171415.5381859417024-1.53818594170243
1181413.00846564356610.991534356433905
1191314.9747923571653-1.97479235716531
1201615.71900587087340.280994129126558
1211314.3232751022776-1.32327510227757
1221615.68481856689730.315181433102675
1231316.0166004302169-3.0166004302169
1241617.1171910834514-1.11719108345143
1251516.0462026349978-1.04620263499776
1261616.8576836656374-0.857683665637436
1271515.4992899104087-0.499289910408683
1281716.3284380508190.671561949181044
1291513.88085772988091.11914227011908
1301215.0234050908313-3.02340509083126
1311614.23103380658851.76896619341155
1321013.3910831929673-3.39108319296729
1331614.17011531422681.82988468577321
1341213.991168762107-1.99116876210698
1351415.7301563886678-1.73015638866784
1361515.1824150705959-0.18241507059592
1371312.34827470466530.651725295334732
1381514.51771121498330.482288785016659
1391113.243955172699-2.24395517269898
1401213.4364303932935-1.43643039329351
141813.4442412081347-5.44424120813469
1421613.17273283407952.82726716592048
1431513.40539747150021.59460252849984
1441716.63023003492030.369769965079671
1451614.9165899187621.08341008123798
1461014.2401473551524-4.24014735515238
1471816.00551984932711.99448015067291
1481315.2616848807395-2.2616848807395
1491615.23084158268530.769158417314687
1501313.1081348614777-0.108134861477708
1511013.1993639781136-3.19936397811361
1521516.5186683196254-1.51866831962543
1531614.18772027358031.81227972641974
1541612.08064288937323.91935711062677
1551412.53845134440531.46154865559468
1561012.6127617408854-2.61276174088537
1571716.99507732620880.00492267379117193
1581311.70223078187171.29776921812829
1591513.88085772988091.11914227011908
1601615.15855883787010.841441162129917
1611212.6024817935443-0.60248179354427
1621312.67553901245360.32446098754644


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.7589096926116930.4821806147766130.241090307388307
130.6217866319861170.7564267360277670.378213368013884
140.5817604633576610.8364790732846780.418239536642339
150.4615293343706210.9230586687412430.538470665629379
160.3612640996222090.7225281992444180.638735900377791
170.2983012322782810.5966024645565630.701698767721719
180.5072883538987520.9854232922024960.492711646101248
190.4239848248375410.8479696496750830.576015175162459
200.3350827812435850.670165562487170.664917218756415
210.2651830399946330.5303660799892670.734816960005367
220.2425303152754240.4850606305508480.757469684724576
230.4424122948676840.8848245897353680.557587705132316
240.47938518106490.95877036212980.5206148189351
250.4697576070582470.9395152141164940.530242392941753
260.4292180118477150.858436023695430.570781988152285
270.4911559651315960.9823119302631920.508844034868404
280.4940359970896120.9880719941792250.505964002910388
290.4751966141377230.9503932282754460.524803385862277
300.5171950803310690.9656098393378620.482804919668931
310.4561000929218430.9122001858436850.543899907078157
320.4069814149228540.8139628298457070.593018585077146
330.3798105563575320.7596211127150640.620189443642468
340.3461093236535370.6922186473070750.653890676346463
350.2968381748862410.5936763497724820.703161825113759
360.8572282157235040.2855435685529930.142771784276496
370.8320993562649020.3358012874701960.167900643735098
380.8239553263350710.3520893473298580.176044673664929
390.8451355118589170.3097289762821660.154864488141083
400.8302492525519530.3395014948960950.169750747448047
410.8022997953494410.3954004093011170.197700204650559
420.7749978799748950.450004240050210.225002120025105
430.8033087228518490.3933825542963020.196691277148151
440.7647895336080330.4704209327839340.235210466391967
450.7367748802166280.5264502395667450.263225119783372
460.8789939758621370.2420120482757260.121006024137863
470.9199774638068760.1600450723862490.0800225361931244
480.89891973908290.20216052183420.1010802609171
490.8856210052197990.2287579895604020.114378994780201
500.8818018655384890.2363962689230220.118198134461511
510.8545606257897510.2908787484204980.145439374210249
520.8234937715431810.3530124569136370.176506228456819
530.8368602412050710.3262795175898580.163139758794929
540.8250862724728120.3498274550543770.174913727527189
550.8367586849558460.3264826300883070.163241315044154
560.8122095318701470.3755809362597060.187790468129853
570.7789792122919770.4420415754160470.221020787708023
580.7579322737031240.4841354525937510.242067726296876
590.7195429830853610.5609140338292780.280457016914639
600.7250448264130720.5499103471738550.274955173586928
610.6947847745424920.6104304509150160.305215225457508
620.6596070662285640.6807858675428710.340392933771436
630.622368290642650.7552634187146990.37763170935735
640.5754351583637050.8491296832725890.424564841636295
650.5339040656214530.9321918687570930.466095934378547
660.4937792314455480.9875584628910960.506220768554452
670.479489572051320.958979144102640.52051042794868
680.565922969491580.868154061016840.43407703050842
690.7458423367494010.5083153265011980.254157663250599
700.7087892737725680.5824214524548640.291210726227432
710.8298527389336390.3402945221327220.170147261066361
720.7980916473552070.4038167052895860.201908352644793
730.788618597967480.422762804065040.21138140203252
740.7690958967164740.4618082065670520.230904103283526
750.7324201646008350.535159670798330.267579835399165
760.7696581267412030.4606837465175940.230341873258797
770.7357620037286170.5284759925427660.264237996271383
780.7194097647101430.5611804705797140.280590235289857
790.7313526619627170.5372946760745650.268647338037283
800.6913414909151680.6173170181696640.308658509084832
810.6515956433573730.6968087132852540.348404356642627
820.7834744894327910.4330510211344190.216525510567209
830.7479266605177250.5041466789645490.252073339482275
840.7220962464230370.5558075071539270.277903753576963
850.6814794645188870.6370410709622260.318520535481113
860.6699380507035960.6601238985928080.330061949296404
870.6270988626996550.7458022746006910.372901137300345
880.5870093894096580.8259812211806830.412990610590342
890.5683752801377930.8632494397244140.431624719862207
900.5321725988837950.935654802232410.467827401116205
910.5195216543990450.960956691201910.480478345600955
920.4828039755107640.9656079510215270.517196024489236
930.4397135780787110.8794271561574220.560286421921289
940.3970608745513590.7941217491027180.602939125448641
950.4153692833487580.8307385666975160.584630716651242
960.3785267579043080.7570535158086160.621473242095692
970.3387911172116410.6775822344232830.661208882788359
980.3341394707494690.6682789414989380.665860529250531
990.2922960606194640.5845921212389290.707703939380536
1000.2541147574880670.5082295149761330.745885242511933
1010.2306478814517430.4612957629034850.769352118548257
1020.212699226195820.425398452391640.78730077380418
1030.2600357622068080.5200715244136160.739964237793192
1040.2225427430455020.4450854860910040.777457256954498
1050.2142465938260430.4284931876520860.785753406173957
1060.2316113530388370.4632227060776740.768388646961163
1070.2094758179423110.4189516358846230.790524182057688
1080.1874408313998310.3748816627996620.812559168600169
1090.1802820381290060.3605640762580120.819717961870994
1100.1657517053321950.331503410664390.834248294667805
1110.1459097472642780.2918194945285550.854090252735722
1120.1220753271297980.2441506542595950.877924672870202
1130.1416349263638320.2832698527276630.858365073636168
1140.1266260465186840.2532520930373680.873373953481316
1150.1640356763952320.3280713527904650.835964323604768
1160.1549986119791240.3099972239582490.845001388020876
1170.1338326545281850.2676653090563710.866167345471815
1180.1152045923480220.2304091846960440.884795407651978
1190.1167404814279050.233480962855810.883259518572095
1200.1063601381296160.2127202762592320.893639861870384
1210.0893193920606830.1786387841213660.910680607939317
1220.07082410950440670.1416482190088130.929175890495593
1230.08007885715887260.1601577143177450.919921142841127
1240.06342101150065670.1268420230013130.936578988499343
1250.05075822751167550.1015164550233510.949241772488325
1260.03831061503239960.07662123006479920.9616893849676
1270.02874174712828550.0574834942565710.971258252871715
1280.0231951261651820.0463902523303640.976804873834818
1290.01782681606847570.03565363213695140.982173183931524
1300.02468543115282250.0493708623056450.975314568847177
1310.02084969414930910.04169938829861810.979150305850691
1320.0334009420652840.0668018841305680.966599057934716
1330.03563862131189920.07127724262379850.964361378688101
1340.04817252675439590.09634505350879170.951827473245604
1350.03766077709416730.07532155418833460.962339222905833
1360.02586005294501860.05172010589003720.974139947054981
1370.01769039769539890.03538079539079780.982309602304601
1380.01179784947869060.02359569895738120.988202150521309
1390.02238603038039780.04477206076079570.977613969619602
1400.01900351086525230.03800702173050460.980996489134748
1410.6443720508324050.711255898335190.355627949167595
1420.5789529575920250.842094084815950.421047042407975
1430.4909354425211330.9818708850422650.509064557478867
1440.4070963304675020.8141926609350050.592903669532498
1450.3151343759792270.6302687519584550.684865624020773
1460.4502214272947040.9004428545894080.549778572705296
1470.3441176218095180.6882352436190350.655882378190482
1480.6049836206688690.7900327586622610.395016379331131
1490.5454855701325420.9090288597349160.454514429867458
1500.3880212206841550.7760424413683090.611978779315845


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level80.0575539568345324NOK
10% type I error level150.107913669064748NOK