Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 63.3772497652093 -0.00436056245308616month[t] -0.104279456284647Connected[t] + 2.51346895669427Separate[t] + 0.0530085995545523Software[t] + 0.017854108404229Happiness[t] -0.347745379521211Depression[t] + 0.634498592084557Belonging[t] -5.99595297549823Belonging_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)63.377249765209323.3622322.71280.0075680.003784
month-0.004360562453086160.001629-2.67640.0083920.004196
Connected-0.1042794562846470.077024-1.35390.1781130.089057
Separate2.513468956694270.2987038.414600
Software0.05300859955455230.0770750.68780.4928250.246412
Happiness0.0178541084042290.2385790.07480.940460.47023
Depression-0.3477453795212110.432475-0.80410.4228060.211403
Belonging0.6344985920845570.2484722.55360.0118070.005904
Belonging_Final-5.995952975498232.055088-2.91760.0041520.002076


Multiple Linear Regression - Regression Statistics
Multiple R0.822704491549289
R-squared0.676842680415374
Adjusted R-squared0.657107882272802
F-TEST (value)34.2969142894483
F-TEST (DF numerator)8
F-TEST (DF denominator)131
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.35316050276957
Sum Squared Residuals11460.0910921645


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15667.073083215414-11.073083215414
27364.39347465832298.60652534167709
36264.8933268691825-2.89332686918254
44257.3296622867166-15.3296622867166
55957.1497659145761.85023408542402
62731.1719815085421-4.17198150854205
77871.25128518289616.74871481710392
85651.75491882352534.24508117647471
95958.12719052262190.872809477378099
105148.05926578004692.94073421995312
114761.4235489896242-14.4235489896242
123543.1029783296815-8.10297832968147
134752.6076680100216-5.60766801002162
144749.9238334172811-2.92383341728105
155556.4639750676349-1.46397506763493
165450.9244839675793.07551603242101
176055.34256199822174.65743800177832
185551.61802820303233.38197179696774
194848.7187183320162-0.718718332016192
204748.8507730983485-1.85077309834847
214746.16505582114040.834944178859604
225252.0541853917094-0.0541853917093953
234843.94825336637994.05174663362012
244842.45423017534395.54576982465615
252741.0121319862982-14.0121319862982
261242.1729447269072-30.1729447269072
275147.34644074711783.65355925288218
285856.488653104071.51134689593005
296053.20174245961716.79825754038291
304645.31709833947070.68290166052926
314545.176862320001-0.176862320000968
324245.6774159532779-3.67741595327792
334148.4889068020291-7.48890680202908
344744.00260415458382.99739584541621
353233.9349250580362-1.9349250580362
365653.23239048789922.7676095121008
374243.1197750350934-1.11977503509337
384143.569071651438-2.56907165143795
394743.65946151093723.34053848906284
404751.1994785631391-4.19947856313914
414956.0527415058593-7.05274150585931
425252.0678644006745-0.0678644006745395
434244.1948097071424-2.19480970714239
445550.78352891127174.21647108872834
454839.81846229201118.18153770798889
464842.07903768460025.9209623153998
473836.81708066603831.18291933396168
484840.39235433938927.60764566061083
495041.80075287919768.1992471208024
503936.05830539803112.9416946019689
514835.996803275202212.0031967247978
523633.16057706949472.83942293050529
534940.8253391278478.17466087215299
543938.08932121605480.910678783945164
554136.8198517629744.18014823702604
564544.85973637943720.14026362056276
576043.919934264200616.0800657357994
584541.47163185036383.5283681496362
594140.04299389014040.957006109859593
605244.32179903836917.67820096163095
614638.25801334819377.74198665180628
623937.2372921189161.76270788108403
633231.56963363043920.430366369560823
645242.25765121428489.74234878571518
655446.15983460725757.84016539274252
665143.49596823897687.5040317610232
675241.397307288562110.6026927114379
685748.56929173184018.43070826815988
694733.886902895902513.1130971040975
704534.506190742055910.4938092579441
714133.39049512698087.60950487301924
724334.96835462771778.03164537228228
733128.97275085644922.02724914355078
743244.3976900090518-12.3976900090518
754135.97850871767485.02149128232524
762729.6615906079736-2.66159060797365
774032.39413262073257.60586737926745
784640.91494203097655.08505796902349
793234.0042527995416-2.00425279954162
80938.3194495613185-29.3194495613185
816448.275211537191415.7247884628086
823040.83836752733-10.83836752733
834639.70430878332566.29569121667437
843734.68089306226922.31910693773076
852235.849840032005-13.849840032005
862034.8749665991693-14.8749665991693
872135.2332116215733-14.2332116215733
884441.92724670576222.07275329423781
892434.2521508903397-10.2521508903397
903333.8295433086779-0.829543308677928
914535.70336206775519.29663793224488
923540.1948728318924-5.19487283189238
933126.92209843845584.07790156154421
942040.4586528418982-20.4586528418982
951329.019363355987-16.019363355987
963326.52722416918536.4727758308147
975837.55695179247920.443048207521
982629.8844958140619-3.88449581406193
993628.91017515102537.0898248489747
1003231.5598693106150.440130689384971
1013435.0872179153075-1.08721791530752
1021529.5042838748872-14.5042838748872
1034030.20899017275419.79100982724588
1043731.05855176592715.94144823407292
1052632.8337922775621-6.83379227756207
1063129.37572255279591.62427744720413
1074740.05196504231616.94803495768388
1082119.07863442979261.92136557020735
1092123.8806260264564-2.88062602645636
110915.629965581388-6.62996558138801
1112822.21997475620175.78002524379831
1122428.5779210883732-4.5779210883732
1131510.85324945826664.14675054173339
1141920.8021320706554-1.80213207065535
1153533.27215608064651.72784391935347
1164529.456223417667515.5437765823325
1172029.4802328777725-9.48023287777254
118127.2686293472079-26.2686293472079
1192930.3356455368773-1.33564553687731
1203329.24427984852613.75572015147385
1213226.49435999603675.50564000396333
1221129.4391223108545-18.4391223108545
123108.477428601121721.52257139887828
1241830.6552519113918-12.6552519113918
1254130.20216955426210.797830445738
126014.2248449107345-14.2248449107345
1271020.4898548149741-10.4898548149741
1282428.6879559438711-4.68795594387109
1292835.4300365921504-7.43003659215036
1303827.538229271592810.4617707284072
13144.74518788626662-0.74518788626662
1322519.54247607877435.45752392122573
1334029.220969491996510.7790305080035
1340-1.934406183937361.93440618393736
1352321.43491415669931.56508584330073
136138.958381116197274.04161888380273
137635.2512477465239-29.2512477465239
1383122.18226820635378.81773179364634
1390-1.558149900150831.55814990015083
1403-0.2204727310125823.22047273101258


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.5392594903506350.9214810192987290.460740509649365
130.3873541849357470.7747083698714940.612645815064253
140.2939762163305070.5879524326610130.706023783669493
150.3474766678477590.6949533356955170.652523332152241
160.2841920512767820.5683841025535650.715807948723218
170.2367192333203140.4734384666406290.763280766679686
180.1661132334788410.3322264669576820.833886766521159
190.1135946476273310.2271892952546610.886405352372669
200.07161747873650230.1432349574730050.928382521263498
210.0464416859611140.0928833719222280.953558314038886
220.02870489465882620.05740978931765250.971295105341174
230.0172553845270920.03451076905418390.982744615472908
240.01057746114071270.02115492228142540.989422538859287
250.0154571933709340.0309143867418680.984542806629066
260.5830559468283830.8338881063432350.416944053171617
270.5486458949763160.9027082100473680.451354105023684
280.5173792214542690.9652415570914630.482620778545731
290.4671751562305390.9343503124610790.532824843769461
300.4027132707281430.8054265414562860.597286729271857
310.3420971676968510.6841943353937030.657902832303149
320.2943585529537470.5887171059074940.705641447046253
330.2683614265589830.5367228531179670.731638573441017
340.2285739806069160.4571479612138330.771426019393084
350.2031877697882960.4063755395765920.796812230211704
360.1606303830465780.3212607660931560.839369616953422
370.1266527540808790.2533055081617580.873347245919121
380.09995474314115590.1999094862823120.900045256858844
390.07952382794065250.1590476558813050.920476172059348
400.06916986197836960.1383397239567390.93083013802163
410.07000461766361240.1400092353272250.929995382336388
420.05228319656802070.1045663931360410.947716803431979
430.03954097295125470.07908194590250950.960459027048745
440.03331846037569650.0666369207513930.966681539624303
450.03006697469914470.06013394939828950.969933025300855
460.02235917958267990.04471835916535970.97764082041732
470.01574754511256680.03149509022513360.984252454887433
480.01173862368256070.02347724736512140.988261376317439
490.008022050390433370.01604410078086670.991977949609567
500.005688451104433360.01137690220886670.994311548895567
510.004686487780876060.009372975561752120.995313512219124
520.003299294224951640.006598588449903280.996700705775048
530.002160833123880120.004321666247760240.99783916687612
540.001914598911058850.003829197822117710.998085401088941
550.001242195228116760.002484390456233510.998757804771883
560.001183686577219790.002367373154439580.99881631342278
570.001194166153990610.002388332307981230.998805833846009
580.000789143428939430.001578286857878860.999210856571061
590.0006323385933732250.001264677186746450.999367661406627
600.0003904462847146480.0007808925694292960.999609553715285
610.0002583621809661050.0005167243619322090.999741637819034
620.0001719668728632640.0003439337457265280.999828033127137
630.0001185823212426920.0002371646424853840.999881417678757
647.71371631754347e-050.0001542743263508690.999922862836825
655.29354683337473e-050.0001058709366674950.999947064531666
663.59778837538235e-057.19557675076469e-050.999964022116246
672.70059950401389e-055.40119900802779e-050.99997299400496
681.72526032783411e-053.45052065566823e-050.999982747396722
692.22280948078389e-054.44561896156778e-050.999977771905192
701.97968840360376e-053.95937680720751e-050.999980203115964
711.51886581928709e-053.03773163857419e-050.999984811341807
721.06186563919158e-052.12373127838317e-050.999989381343608
737.56179840026191e-061.51235968005238e-050.9999924382016
740.0001182048903113150.000236409780622630.999881795109689
758.6616293948946e-050.0001732325878978920.999913383706051
766.01471263279244e-050.0001202942526558490.999939852873672
774.3176480928232e-058.63529618564639e-050.999956823519072
782.55201455574037e-055.10402911148075e-050.999974479854443
793.16688791508359e-056.33377583016717e-050.999968331120849
800.008578134052512260.01715626810502450.991421865947488
810.01100646421521910.02201292843043810.988993535784781
820.01664826069124420.03329652138248830.983351739308756
830.01272836540912390.02545673081824780.987271634590876
840.00975283076920820.01950566153841640.990247169230792
850.01575983837646450.0315196767529290.984240161623535
860.0274583727956790.05491674559135810.972541627204321
870.04107392724894690.08214785449789380.958926072751053
880.03082485766151730.06164971532303470.969175142338483
890.03251399424810670.06502798849621330.967486005751893
900.02443738816895810.04887477633791620.975562611831042
910.02382492580737960.04764985161475910.97617507419262
920.0225263998140560.0450527996281120.977473600185944
930.01655020320961330.03310040641922660.983449796790387
940.06191081176672740.1238216235334550.938089188233273
950.1066527268126150.213305453625230.893347273187385
960.0968101261932090.1936202523864180.903189873806791
970.2035599573605280.4071199147210560.796440042639472
980.172450000751780.3449000015035590.82754999924822
990.1958324637594750.391664927518950.804167536240525
1000.1617204708645990.3234409417291990.838279529135401
1010.136159781304780.272319562609560.86384021869522
1020.1384000505784530.2768001011569050.861599949421547
1030.149592913716680.299185827433360.85040708628332
1040.128048447657790.2560968953155810.87195155234221
1050.1076238074651020.2152476149302040.892376192534898
1060.08544510662916950.1708902132583390.914554893370831
1070.08609715964288730.1721943192857750.913902840357113
1080.06471629075998630.1294325815199730.935283709240014
1090.04867775511081890.09735551022163780.951322244889181
1100.1491115743166640.2982231486333290.850888425683336
1110.1335278953419560.2670557906839110.866472104658044
1120.1536265667244340.3072531334488680.846373433275566
1130.1195248777163480.2390497554326960.880475122283652
1140.1050243785250650.2100487570501290.894975621474935
1150.2026462146407750.4052924292815510.797353785359225
1160.5035448345131020.9929103309737960.496455165486898
1170.4444086237258860.8888172474517730.555591376274114
1180.5169761142620090.9660477714759820.483023885737991
1190.4375855735951360.8751711471902710.562414426404864
1200.3782183056080470.7564366112160940.621781694391953
1210.2992483925466550.5984967850933090.700751607453346
1220.3470321545557210.6940643091114410.652967845444279
1230.6931517028907970.6136965942184070.306848297109204
1240.6130163618557020.7739672762885950.386983638144298
1250.5053378912185070.9893242175629860.494662108781493
1260.6653224412020490.6693551175959020.334677558797951
1270.5680106649804880.8639786700390240.431989335019512
1280.4962968684912240.9925937369824490.503703131508776


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level290.247863247863248NOK
5% type I error level470.401709401709402NOK
10% type I error level570.487179487179487NOK