Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 5.45674050425465 + 0.147563595985744month[t] + 0.0879911037877362Connected[t] -0.0205402382643911Separate[t] + 0.522498727357859Software[t] + 0.0304564703352417Happiness[t] -0.0875673351448767Depression[t] -0.0241643125897779Belonging[t] + 0.06495734898767Belonging_Final[t] -0.00640249915183407t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.456740504254654.9622421.09970.2732340.136617
month0.1475635959857440.5060870.29160.771010.385505
Connected0.08799110378773620.0435692.01960.0451950.022598
Separate-0.02054023826439110.042088-0.4880.6262380.313119
Software0.5224987273578590.0675027.740500
Happiness0.03045647033524170.0717490.42450.6718140.335907
Depression-0.08756733514487670.053313-1.64250.1025610.051281
Belonging-0.02416431258977790.04781-0.50540.6139970.306999
Belonging_Final0.064957348987670.0745130.87180.3847250.192363
t-0.006402499151834070.008885-0.72060.4722870.236143


Multiple Linear Regression - Regression Statistics
Multiple R0.616084761544292
R-squared0.379560433407088
Adjusted R-squared0.342580591689629
F-TEST (value)10.2639820988713
F-TEST (DF numerator)9
F-TEST (DF denominator)151
p-value2.89035462230913e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.72321311080611
Sum Squared Residuals448.388977213365


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.0490104618212-3.04901046182122
21616.1860219268806-0.186021926880638
31916.76635356363332.23364643636669
41512.30300357762482.69699642237519
51415.5769323249511-1.57693232495106
61315.120994334411-2.120994334411
71915.42750832067513.57249167932494
81517.0137390005-2.01373900049999
91416.1620417775404-2.16204177754041
101514.43339755267070.566602447329285
111615.56230325882630.437696741173666
121616.1641331339235-0.164133133923536
131615.69657310227340.303426897726611
141615.19386834469270.806131655307332
151717.682961316051-0.682961316050965
161515.2276273944881-0.227627394488076
171514.72255492089870.277445079101335
182016.43844214811393.56155785188605
191815.72922791484612.2707720851539
201615.39520222455030.604797775449731
211615.32046730508410.679532694915915
221615.3289480273160.671051972684026
231916.29546503666112.70453496333885
241615.02299579676460.977004203235379
251716.52327111462940.476728885370591
261716.9670315886190.0329684113809558
271614.76644515012711.23355484987285
281516.3679090283809-1.36790902838088
291615.36417236873070.635827631269317
301414.5673550619547-0.567355061954664
311515.8962595562111-0.896259556211074
321212.399538615869-0.399538615868987
331415.1370275804905-1.13702758049045
341616.0403222944867-0.0403222944866774
351415.4342652606063-1.43426526060633
361013.2789234544361-3.27892345443609
371012.5692353188849-2.56923531888487
381415.7848933481702-1.78489334817024
391614.46873423929171.53126576070832
401614.73669279717431.26330720282572
411615.14934350369180.850656496308213
421415.4069230426615-1.40692304266148
432017.65884511538882.34115488461121
441414.026619464814-0.0266194648140459
451415.0447004096259-1.04470040962588
461115.448811656535-4.44881165653501
471416.710198242124-2.71019824212402
481515.0996382114152-0.0996382114152192
491614.75002658729911.2499734127009
501415.9644976462787-1.96449764627872
511616.5383768844621-0.538376884462106
521414.0561112677422-0.0561112677421831
531214.4932319603238-2.49323196032376
541616.2196790651626-0.219679065162606
55911.5695101721269-2.56951017212693
561412.64921971767441.35078028232563
571616.0545534287663-0.05455342876633
581615.46233090314680.537669096853166
591515.3373127577086-0.337312757708649
601614.30816606219721.69183393780278
611211.5541532097160.445846790284027
621615.85825481558920.141745184410759
631616.585811286261-0.585811286260983
641414.2364998541117-0.236499854111724
651615.29834022501440.701659774985575
661716.21308390250390.78691609749612
671816.24690310383561.7530968961644
681814.54356531494243.45643468505759
691215.6351315345966-3.6351315345966
701615.36566152035410.63433847964587
711013.789131849363-3.78913184936299
721414.1785908244253-0.178590824425269
731816.44971957529141.55028042470861
741816.78721597937231.21278402062768
751615.810043471270.189956528730027
761713.91518434406733.08481565593275
771616.2085982734379-0.208598273437875
781614.63349287745041.36650712254957
791315.0343823104248-2.03438231042482
801615.83779340206670.162206597933289
811615.42068033586040.579319664139595
821615.873211628040.126788371960041
831515.7144634312669-0.714463431266877
841514.78373163879630.216268361203682
851614.36046890940151.63953109059846
861414.0560716932549-0.0560716932548528
871615.28713574194520.712864258054837
881614.45453937635891.54546062364107
891514.24679537450830.753204625491681
901213.6503435997642-1.65034359976425
911716.61876578749120.381234212508838
921615.29672781633350.703272183666451
931515.096877097657-0.0968770976570464
941314.9572539543321-1.95725395433206
951614.88524402247861.11475597752144
961615.73721122156070.262788778439251
971614.02313540850941.97686459149055
981615.84738175542520.152618244574779
991414.3325070655381-0.332507065538147
1001616.940001690227-0.940001690226981
1011614.69345871870211.30654128129791
1022017.2848044624222.715195537578
1031514.76613821586510.233861784134946
1041614.31642408648051.68357591351953
1051315.0228622261668-2.02286222616685
1061715.88902037135991.11097962864013
1071615.45712925145230.542870748547735
1081614.26693826667961.73306173332035
1091212.0005969501969-0.000596950196859065
1101615.14173483456130.858265165438743
1111615.82561656227760.174383437722378
1121714.96279982258232.03720017741771
1131313.1509986333327-0.150998633332732
1141214.8462612594175-2.84626125941749
1151816.71075811651551.28924188348448
1161415.2509980379671-1.25099803796712
1171413.20805511615590.791944883844143
1181314.9558849040364-1.95588490403643
1191615.70298737450190.297012625498139
1201314.0935310256219-1.09353102562188
1211615.62285709193420.377142908065845
1221315.96209193677-2.96209193677004
1231617.0553726529986-1.05537265299863
1241516.2621382249113-1.2621382249113
1251616.7437130667739-0.743713066773915
1261515.4876652395885-0.487665239588466
1271715.79689881116481.20310118883524
1281514.22802898871150.771971011288529
1291214.8401289874323-2.84012898743225
1301614.05572579379311.94427420620694
1311013.3213728124412-3.32137281244122
1321613.88301501424542.11698498575463
1331213.9063969972042-1.90639699720421
1341415.5730496432251-1.57304964322512
1351515.3557695739857-0.355769573985745
1361312.08324648800970.916753511990259
1371514.62937772375360.370622276246397
1381113.2447853711918-2.2447853711918
1391213.2966873506332-1.29668735063324
1401113.2359344356473-2.23593443564735
1411612.89441805909533.10558194090467
1421513.29740139877321.70259860122683
1431716.66287954271230.337120457287677
1441614.6941899378191.30581006218097
1451014.1605574798599-4.16055747985993
1461815.85179067687392.14820932312605
1471315.052154894862-2.05215489486201
1481615.15927441556090.840725584439128
1491313.0852293404491-0.0852293404490951
1501013.1449173602912-3.1449173602912
1511515.8925878118488-0.892587811848785
1521613.66719983365622.33280016634383
1531611.94693186555174.05306813444826
1541412.65539615556261.34460384443741
1551012.7822320473445-2.78223204734445
1561716.35016693860770.649833061392308
1571311.59174289327241.40825710672763
1581514.03595401415640.964045985843552
1591615.03468923909930.965310760900736
1601212.2780470850852-0.27804708508523
1611312.79693370355860.203066296441365


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.3731177348982130.7462354697964270.626882265101787
140.3726055975691090.7452111951382180.627394402430891
150.2425795162143760.4851590324287510.757420483785624
160.1946704347152610.3893408694305220.805329565284739
170.2077734523866970.4155469047733940.792226547613303
180.4127016789955220.8254033579910430.587298321004478
190.3639019585879760.7278039171759530.636098041412024
200.3081916690898310.6163833381796620.691808330910169
210.2551571493526860.5103142987053720.744842850647314
220.2968762267375230.5937524534750450.703123773262478
230.455741940546130.911483881092260.54425805945387
240.5985626240796990.8028747518406030.401437375920301
250.5271166892148420.9457666215703160.472883310785158
260.4695934676746550.9391869353493110.530406532325345
270.4602547701443180.9205095402886360.539745229855682
280.5899879780412120.8200240439175760.410012021958788
290.5354196089346990.9291607821306020.464580391065301
300.6485410291029610.7029179417940790.351458970897039
310.6067340044737840.7865319910524320.393265995526216
320.5750393416769320.8499213166461370.424960658323068
330.5575424343093830.8849151313812330.442457565690617
340.5143380009767510.9713239980464980.485661999023249
350.4640315998398110.9280631996796230.535968400160189
360.630165692111530.7396686157769390.36983430788847
370.663160218313780.6736795633724410.33683978168622
380.6438010922563630.7123978154872750.356198907743637
390.6844698086799490.6310603826401020.315530191320051
400.6648158562500080.6703682874999830.335184143749992
410.6238165862398090.7523668275203820.376183413760191
420.5840744217066330.8318511565867350.415925578293367
430.6168572782425560.7662854435148890.383142721757444
440.5628718555309750.8742562889380510.437128144469025
450.5300047047874430.9399905904251150.469995295212557
460.7486969606930780.5026060786138450.251303039306922
470.8228035848220230.3543928303559540.177196415177977
480.7915687837169280.4168624325661430.208431216283072
490.8058654485886530.3882691028226940.194134551411347
500.8024758977556890.3950482044886220.197524102244311
510.7696085020707310.4607829958585390.230391497929269
520.7357021065475720.5285957869048570.264297893452428
530.7654405483679050.469118903264190.234559451632095
540.7254037381957860.5491925236084290.274596261804214
550.7368768218870460.5262463562259080.263123178112954
560.7454058404282760.5091883191434480.254594159571724
570.7068235581102680.5863528837794640.293176441889732
580.6797034952121450.6405930095757090.320296504787855
590.6410870528740640.7178258942518710.358912947125936
600.6496060729005680.7007878541988640.350393927099432
610.6090296315067930.7819407369864140.390970368493207
620.5637383783328350.8725232433343310.436261621667165
630.5209434533791590.9581130932416820.479056546620841
640.4727587966421680.9455175932843370.527241203357832
650.4313778792103270.8627557584206530.568622120789673
660.3999351875487450.799870375097490.600064812451255
670.4005420943871130.8010841887742270.599457905612887
680.5453032987621340.9093934024757320.454696701237866
690.6933066000425840.6133867999148310.306693399957416
700.6569603459388990.6860793081222020.343039654061101
710.8007560887535230.3984878224929540.199243911246477
720.7666533950216580.4666932099566840.233346604978342
730.7638552014549920.4722895970900170.236144798545008
740.7471091518303860.5057816963392280.252890848169614
750.7075630358228770.5848739283542460.292436964177123
760.789410519551140.4211789608977190.21058948044886
770.7541311352226910.4917377295546170.245868864777309
780.7404352452633160.5191295094733690.259564754736684
790.7647577665719340.4704844668561320.235242233428066
800.7266519593939760.5466960812120480.273348040606024
810.6915525365278110.6168949269443780.308447463472189
820.6503118082790460.6993763834419080.349688191720954
830.615793792382320.768412415235360.38420620761768
840.571397688460930.857204623078140.42860231153907
850.5595117219892370.8809765560215260.440488278010763
860.5154791370996340.9690417258007310.484520862900366
870.4729803591152840.9459607182305670.527019640884716
880.4531830305857220.9063660611714450.546816969414278
890.417325546925280.834651093850560.58267445307472
900.4252637969874770.8505275939749530.574736203012523
910.3806056823325620.7612113646651230.619394317667438
920.3452886222981030.6905772445962060.654711377701897
930.3036692422646570.6073384845293140.696330757735343
940.3465504941277360.6931009882554730.653449505872264
950.3167016367678590.6334032735357180.683298363232141
960.2747718478633330.5495436957266650.725228152136667
970.2698566753735480.5397133507470950.730143324626452
980.2327584725851360.4655169451702730.767241527414864
990.2193286281168730.4386572562337460.780671371883127
1000.2149158809748670.4298317619497330.785084119025133
1010.1898285188584830.3796570377169660.810171481141517
1020.2116210381985050.423242076397010.788378961801495
1030.1815003649347130.3630007298694270.818499635065287
1040.1654362993349580.3308725986699160.834563700665042
1050.1897382028643460.3794764057286920.810261797135654
1060.160779321978090.321558643956180.83922067802191
1070.1323867339952570.2647734679905140.867613266004743
1080.1168847014366190.2337694028732390.883115298563381
1090.1193102456090570.2386204912181150.880689754390943
1100.1072264267969240.2144528535938470.892773573203076
1110.09210814774144810.1842162954828960.907891852258552
1120.1179683279205950.2359366558411910.882031672079405
1130.1026432530386150.2052865060772310.897356746961385
1140.1387824688717260.2775649377434530.861217531128274
1150.1512687360315670.3025374720631340.848731263968433
1160.1306864697428840.2613729394857680.869313530257116
1170.1412165368378540.2824330736757080.858783463162146
1180.139077803567320.2781556071346410.86092219643268
1190.1685500778878390.3371001557756780.831449922112161
1200.1397927315747730.2795854631495470.860207268425227
1210.126896401072630.253792802145260.87310359892737
1220.1318665151512690.2637330303025390.868133484848731
1230.1057390894140970.2114781788281930.894260910585903
1240.08579846518801530.1715969303760310.914201534811985
1250.0659382029554880.1318764059109760.934061797044512
1260.04914669094349250.09829338188698490.950853309056508
1270.04747942679901240.09495885359802490.952520573200988
1280.05691120767759990.11382241535520.9430887923224
1290.06182524958470610.1236504991694120.938174750415294
1300.06386773788672830.1277354757734570.936132262113272
1310.08098168106484130.1619633621296830.919018318935159
1320.1455902020412430.2911804040824860.854409797958757
1330.1731083397397880.3462166794795760.826891660260212
1340.1375892385210340.2751784770420670.862410761478966
1350.1124428002612310.2248856005224610.887557199738769
1360.08326603349080360.1665320669816070.916733966509196
1370.1031864103594470.2063728207188930.896813589640553
1380.1085985336255550.217197067251110.891401466374445
1390.08212842316518620.1642568463303720.917871576834814
1400.247364654946410.494729309892820.75263534505359
1410.207582102678570.4151642053571410.79241789732143
1420.1672541064958080.3345082129916160.832745893504192
1430.1251653965402430.2503307930804860.874834603459757
1440.08204348118592140.1640869623718430.917956518814079
1450.1561784195740870.3123568391481740.843821580425913
1460.1709649656668820.3419299313337650.829035034333118
1470.2917664686216360.5835329372432720.708233531378364
1480.1773566151629170.3547132303258340.822643384837083


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level20.0147058823529412OK