Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 6.72660289825788 -0.145027925413223Month[t] + 0.111737350843465Connected[t] -0.0178041165883361Separate[t] + 0.543286550500503Software[t] + 0.0595543607156345Happines[t] -0.0671677203741168Depression[t] + 0.0393791446826237Belonging[t] -0.0558546409917482Belonging_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)6.726602898257883.6668721.83440.0685330.034267
Month-0.1450279254132230.307834-0.47110.6382230.319112
Connected0.1117373508434650.0472652.3640.0193320.009666
Separate-0.01780411658833610.045333-0.39270.695060.34753
Software0.5432865505005030.0691437.857400
Happines0.05955436071563450.0765760.77770.4379350.218967
Depression-0.06716772037411680.057116-1.1760.2414250.120713
Belonging0.03937914468262370.0452990.86930.3860380.193019
Belonging_Final-0.05585464099174820.064579-0.86490.3884460.194223


Multiple Linear Regression - Regression Statistics
Multiple R0.598031762955037
R-squared0.357641989503109
Adjusted R-squared0.324054642549023
F-TEST (value)10.6481166848935
F-TEST (DF numerator)8
F-TEST (DF denominator)153
p-value7.8017592386459e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.85500523675172
Sum Squared Residuals526.479797541575


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.1729596917428-3.17295969174284
21616.0566818980054-0.056681898005418
31916.26750478179272.7324952182073
41511.81439499844663.18560500155345
51415.5902434948075-1.59024349480749
61314.9610759800279-1.96107598002795
71915.12316339747433.87683660252567
81516.6938552999615-1.69385529996147
91415.9624267941967-1.96242679419674
101512.52657833853162.47342166146843
111615.26313074211340.736869257886601
121616.2354565926443-0.235456592644348
131615.44420100063180.555798999368211
141615.37449622392930.625503776070708
151717.4652209950782-0.465220995078202
161515.0954858357912-0.0954858357911987
171514.64041994543130.35958005456874
182016.23304640380683.76695359619319
191815.47101270288672.52898729711326
201615.26018724950230.739812750497703
211615.29635072327430.7036492767257
221614.78764795486981.21235204513025
231916.47629604424732.52370395575274
241614.75033968818971.24966031181026
251714.8546997952972.14530020470297
261716.95221959087210.04778040912787
271615.0587079048860.941292095114009
281516.1417455644831-1.14174556448308
291615.5516686720770.448331327922961
301414.028467248914-0.0284672489139643
311515.6679472413163-0.667947241316262
321212.2647822593152-0.264782259315194
331415.1714880797594-1.17148807975943
341615.52727581685950.472724183140482
351415.7344790765887-1.73447907658874
36712.9662598799048-5.96625987990478
371010.976425670033-0.976425670032954
381415.8572714345608-1.8572714345608
391614.30692107344961.69307892655042
401614.65128405365981.34871594634021
411615.10817111417830.89182888582168
421415.66067759058-1.66067759058002
432017.94573609686262.05426390313744
441414.2680144027523-0.268014402752319
451414.9487946080421-0.948794608042119
461115.6774418779183-4.67744187791831
471416.4824362802448-2.48243628024482
481515.0180890910709-0.0180890910709306
491615.31656193646720.683438063532846
501416.0924165485259-2.09241654852591
511616.585288854401-0.585288854401007
521414.1933188227318-0.193318822731821
531214.7891929545692-2.7891929545692
541615.25308795241870.746912047581305
55911.5895742619802-2.58957426198021
561412.70057075843571.29942924156429
571616.1734941629088-0.173494162908752
581615.15714708545180.842852914548191
591515.4067405331053-0.406740533105331
601614.22161147817611.77838852182389
611211.51078931855880.4892106814412
621616.0683988843404-0.0683988843403711
631616.5711097439479-0.57110974394791
641414.4478520381336-0.447852038133557
651615.49133819598930.508661804010697
661715.86125661544031.13874338455966
671816.04811124981741.95188875018258
681814.61716204231813.38283795768186
691215.8198990726833-3.81989907268326
701615.3720506028290.627949397170966
711013.3690663582555-3.36906635825549
721414.2684017713942-0.268401771394229
731816.5158677304251.48413226957499
741817.10299945348710.897000546512945
751615.66459889986540.335401100134618
761713.84145559136893.15854440863112
771616.3086128005127-0.308612800512729
781614.3915302364781.60846976352203
791314.7996415193312-1.79964151933116
801615.9023009495250.0976990504749798
811615.5382560617120.461743938287966
822016.71605470917083.28394529082917
831615.61908357108960.380916428910379
841515.9622935100719-0.962293510071924
851514.68772794237580.312272057624249
861614.21220081183181.78779918816815
871414.1776734361759-0.177673436175863
881615.27676933093970.723230669060289
891614.51637523759091.48362476240909
901514.18954022246830.810459777531687
911213.4334201211109-1.43342012111089
921716.92839634499670.071603655003318
931615.45961645034380.540383549656197
941515.2471545534275-0.24715455342753
951315.1297148605019-2.12971486050191
961615.16518593017830.834814069821669
971615.80556692430630.194433075693745
981614.12195818944091.87804181055912
991616.1069714270756-0.106971427075588
1001414.2889758961938-0.288975896193808
1011617.3075095656796-1.30750956567963
1021614.76480112005221.23519887994775
1032017.37905731164242.62094268835763
1041514.49893733330510.501062666694898
1051614.54986391858421.45013608141581
1061315.3430686701328-2.34306867013278
1071716.00030921819370.999690781806287
1081615.89543468233840.10456531766158
1091614.52317471108281.47682528891724
1101212.2555824310139-0.255582431013856
1111614.98772259230861.01227740769141
1121615.86269204500250.13730795499751
1131714.5268233892132.47317661078701
1141314.9487867706446-1.94878677064459
1151214.8717438839947-2.87174388399473
1161816.61110208886561.38889791113438
1171415.4909003398483-1.49090033984834
1181412.96903792257621.03096207742384
1191314.9171818249732-1.91718182497322
1201615.69919639630040.300803603699614
1211314.271463146807-1.27146314680696
1221615.63911000393480.360889996065225
1231315.9904847850566-2.9904847850566
1241617.063681418993-1.06368141899296
1251515.9901429680502-0.990142968050223
1261616.8230899988686-0.823089998868603
1271515.4444142372619-0.444414237261911
1281716.27175802110040.728241978899593
1291513.83438965549611.16561034450393
1301214.9735763911204-2.97357639112037
1311614.18263464470731.8173653552927
1321013.3688625407631-3.36886254076307
1331614.11787663003481.88212336996519
1341213.946519044578-1.94651904457805
1351415.685533788122-1.68553378812199
1361515.1363536736858-0.136353673685839
1371312.29636891670510.703631083294902
1381514.45680570585040.543194294149639
1391113.1901414138795-2.19014141387948
1401213.3686334702848-1.36863347028476
141813.4019311414391-5.40193114143905
1421613.09778017824452.90221982175552
1431513.38446630890451.61553369109554
1441716.60865722201790.39134277798214
1451614.85702231543361.14297768456639
1461014.1869459371721-4.1869459371721
1471815.9484368759662.05156312403401
1481315.1995486095958-2.19954860959579
1491615.17935963293290.820640367067149
1501313.0721447828683-0.0721447828683166
1511013.1647767351569-3.16477673515686
1521516.4914049685477-1.49140496854767
1531614.14265537683891.85734462316106
1541612.0388235773153.96117642268495
1551412.64832526884911.35167473115089
1561012.5461953289603-2.54619532896025
1571716.92839634499670.071603655003318
1581311.66171024558821.33828975441176
1591513.83438965549611.16561034450393
1601615.11077256617970.889227433820318
1611212.5958166601353-0.595816660135297
1621312.62810844042540.371891559574603


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.7592597089806430.4814805820387140.240740291019357
130.622102369037930.7557952619241410.37789763096207
140.5819533584519550.836093283096090.418046641548045
150.4619499282125650.923899856425130.538050071787435
160.3616626615278930.7233253230557860.638337338472107
170.2985582561633750.5971165123267490.701441743836625
180.5058889854103650.988222029179270.494111014589635
190.4217323191532920.8434646383065850.578267680846708
200.3325818636301220.6651637272602440.667418136369878
210.2626203866072290.5252407732144590.737379613392771
220.2394774631884740.4789549263769480.760522536811526
230.4363778377157470.8727556754314950.563622162284253
240.4716107947632930.9432215895265850.528389205236707
250.4601519358942560.9203038717885130.539848064105743
260.4194072640243490.8388145280486980.580592735975651
270.4796673166626920.9593346333253830.520332683337308
280.4827684812302410.9655369624604820.517231518769759
290.4629124881596060.9258249763192120.537087511840394
300.5039855880880130.9920288238239730.496014411911987
310.4431120666801810.8862241333603610.556887933319819
320.3938702143068150.7877404286136310.606129785693185
330.3672440243858360.7344880487716730.632755975614164
340.3326270359167980.6652540718335950.667372964083202
350.2854021969270070.5708043938540140.714597803072993
360.8513673602322050.2972652795355890.148632639767795
370.8261369102418150.347726179516370.173863089758185
380.819105164676210.361789670647580.18089483532379
390.8388931122265210.3222137755469570.161106887773479
400.8220827218587570.3558345562824860.177917278141243
410.7919081514205070.4161836971589850.208091848579493
420.7658118633684970.4683762732630070.234188136631503
430.79089457939540.41821084120920.2091054206046
440.7502982955385410.4994034089229170.249701704461459
450.7218159757030890.5563680485938220.278184024296911
460.8740055181208050.2519889637583890.125994481879195
470.9178554650713240.1642890698573520.0821445349286758
480.8961683181287470.2076633637425060.103831681871253
490.880863891267890.238272217464220.11913610873211
500.8797199773060890.2405600453878230.120280022693911
510.852953541881490.2940929162370190.14704645811851
520.8217747172855690.3564505654288620.178225282714431
530.8416143790053810.3167712419892390.158385620994619
540.8264878163970660.3470243672058690.173512183602934
550.8443640610939710.3112718778120580.155635938906029
560.8173472363017120.3653055273965760.182652763698288
570.7844007547887690.4311984904224630.215599245211231
580.7591743156567410.4816513686865170.240825684343259
590.7249390203162290.5501219593675420.275060979683771
600.7154227892333890.5691544215332220.284577210766611
610.6771140197151760.6457719605696490.322885980284824
620.6356647207139040.7286705585721910.364335279286096
630.6026170199187120.7947659601625760.397382980081288
640.5618516821147120.8762966357705750.438148317885288
650.5183642750903220.9632714498193560.481635724909678
660.4734648215293110.9469296430586220.526535178470689
670.4581036925889170.9162073851778340.541896307411083
680.5099629318790290.9800741362419430.490037068120971
690.7341719331537310.5316561336925380.265828066846269
700.6963360472929430.6073279054141130.303663952707057
710.8157421681826480.3685156636347030.184257831817352
720.782550900084970.4348981998300610.21744909991503
730.7724843162529260.4550313674941480.227515683747074
740.750846130166750.4983077396665010.249153869833251
750.7127322756733030.5745354486533950.287267724326697
760.7615944961484950.4768110077030110.238405503851505
770.7271953599282850.545609280143430.272804640071715
780.714073263741110.5718534725177790.28592673625889
790.7253122592801770.5493754814396470.274687740719823
800.6847882426955560.6304235146088870.315211757304444
810.6448373525552260.7103252948895480.355162647444774
820.7587462114820530.4825075770358930.241253788517947
830.7208160183937380.5583679632125240.279183981606262
840.6945992358092990.6108015283814030.305400764190701
850.6523273446463970.6953453107072070.347672655353603
860.642840480462020.7143190390759590.35715951953798
870.5989687388561390.8020625222877220.401031261143861
880.5575909142172080.8848181715655840.442409085782792
890.5375311942662180.9249376114675650.462468805733782
900.508082297933050.9838354041339010.49191770206695
910.4941266734446260.9882533468892510.505873326555374
920.456543026473650.9130860529473010.543456973526349
930.4130445935228640.8260891870457280.586955406477136
940.3715592446651470.7431184893302940.628440755334853
950.3895505933292680.7791011866585360.610449406670732
960.3531281010282910.7062562020565830.646871898971709
970.3155740055012920.6311480110025840.684425994498708
980.3134923723282810.6269847446565610.686507627671719
990.2727401626164870.5454803252329740.727259837383513
1000.2361422304279390.4722844608558780.763857769572061
1010.2162931812793290.4325863625586580.783706818720671
1020.2027441020283450.4054882040566910.797255897971655
1030.2429135217199870.4858270434399740.757086478280013
1040.2076908986587350.4153817973174710.792309101341265
1050.2001652634241890.4003305268483780.799834736575811
1060.2118073404019680.4236146808039360.788192659598032
1070.1898162225186620.3796324450373250.810183777481338
1080.1691478571153560.3382957142307130.830852142884644
1090.1651721932626730.3303443865253460.834827806737327
1100.1647071988576070.3294143977152140.835292801142393
1110.1441496401167510.2882992802335020.855850359883249
1120.1211800243147670.2423600486295330.878819975685233
1130.1410943194222480.2821886388444960.858905680577752
1140.132334013416530.264668026833060.86766598658347
1150.1745790232473720.3491580464947430.825420976752628
1160.1649906306451110.3299812612902230.835009369354889
1170.1452139856637830.2904279713275670.854786014336216
1180.1276685097785050.255337019557010.872331490221495
1190.1325131654021840.2650263308043680.867486834597816
1200.1272717610373420.2545435220746840.872728238962658
1210.1077571791440190.2155143582880380.892242820855981
1220.08638449362540360.1727689872508070.913615506374596
1230.09662417397096030.1932483479419210.90337582602904
1240.07831558741383140.1566311748276630.921684412586169
1250.06425459306675410.1285091861335080.935745406933246
1260.04971163296272310.09942326592544630.950288367037277
1270.03774755445900020.07549510891800050.962252445541
1280.02972704329741790.05945408659483580.970272956702582
1290.02298237344021180.04596474688042350.977017626559788
1300.03229339934377190.06458679868754370.967706600656228
1310.027119328641060.05423865728212010.97288067135894
1320.03673431465986150.0734686293197230.963265685340138
1330.03890140182579920.07780280365159840.961098598174201
1340.05573518917351680.1114703783470340.944264810826483
1350.04450332802966860.08900665605933730.955496671970331
1360.03067799515271530.06135599030543060.969322004847285
1370.02091030014372440.04182060028744880.979089699856276
1380.01457783370793640.02915566741587280.985422166292064
1390.02003196667099310.04006393334198610.979968033329007
1400.01649670925122340.03299341850244690.983503290748777
1410.6151225334896960.7697549330206090.384877466510304
1420.5510236307027950.8979527385944110.448976369297205
1430.4634562792694150.9269125585388310.536543720730585
1440.3912279672772170.7824559345544340.608772032722783
1450.3011150612450110.6022301224900220.698884938754989
1460.320309633424760.640619266849520.67969036657524
1470.2736042071416640.5472084142833270.726395792858336
1480.6632204255663560.6735591488672890.336779574433644
1490.6111520996084970.7776958007830060.388847900391503
1500.4779035798136840.9558071596273680.522096420186316


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level50.0359712230215827OK
10% type I error level140.100719424460432NOK