Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 11.5281494403163 + 0.122832529602809Connected[t] + 0.0576554749209971Happiness[t] -0.126916587598543Depression[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)11.52814944031632.4968284.61718e-064e-06
Connected0.1228325296028090.0512792.39540.0177740.008887
Happiness0.05765547492099710.0876130.65810.5114510.255725
Depression-0.1269165875985430.064492-1.96790.0508240.025412


Multiple Linear Regression - Regression Statistics
Multiple R0.302708695881518
R-squared0.0916325545622892
Adjusted R-squared0.0743850714210668
F-TEST (value)5.31280731292804
F-TEST (DF numerator)3
F-TEST (DF denominator)158
p-value0.00162848847127917
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.17072356257095
Sum Squared Residuals744.502444045911


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11315.848460751743-2.84846075174299
21615.96033417981990.0396658201801298
31914.0705033261524.92949667384802
41514.50482450587290.495175494127132
51413.96169470597840.0383052940216023
61315.3420874738101-2.34208747381009
71914.33362981655194.66637018344809
81515.1155496321218-0.115549632121834
91415.545786753847-1.54578675384699
101515.2878695206542-0.287869520654173
111615.90676276289460.0932372371053941
121616.0302418287281-0.0302418287280672
131614.86859150045491.13140849954509
141615.46427346718220.535726532817754
151715.35025558980161.64974441019844
161514.48913481012060.510865189879414
171514.98046492853180.0195350714681764
182015.77984617529614.22015382470394
191815.85662886773442.14337113226558
201614.73136234756111.26863765243888
211615.60817282299440.391827177005624
221614.19333585575481.80666414424521
231915.60279569253733.39720430746266
241614.98798650829261.01201349170736
251715.90267870489891.09732129510113
261715.94093313993361.0590668600664
271615.47652564116940.523474358830553
281514.48505075212490.514949247875148
291614.66962281464441.33037718535561
301414.6887500321618-0.688750032161757
311515.1161961683525-0.116196168352486
321213.690400099587-1.690400099587
331415.7839302332918-1.7839302332918
341615.17320510704280.826794892957169
351414.8617164569247-0.861716456924748
36715.3659452855538-8.36594528555384
371013.0708603211159-3.07086032111591
381415.2919535786499-1.29195357864991
391614.80126999646931.19873000353068
401615.30764327440220.692356725597811
411615.79553587104830.204464128951655
421414.8501108191682-0.850110819168199
432016.10294046317073.89705953682931
441414.742321449087-0.74232144908702
451415.4915688006911-1.49156880069108
461115.0572476209702-4.05724762097018
471415.9183684006512-1.91836840065115
481515.05037257744-0.0503725774400218
491615.02651476569630.973485234303728
501415.5492242756121-1.54922427561207
511615.11211211035680.887887889643247
521414.4891348101206-0.489134810120586
531213.8085020349634-1.80850203496342
541614.61948891948421.38051108051579
55914.7545736230742-5.75457362307422
561415.4147861082527-1.41478610825272
571615.59119005478080.408809945219211
581614.81287563422591.18712436577413
591515.4956528586868-0.495652858686811
601614.61540486148851.38459513851152
611213.1360373757977-1.13603737579773
621615.42230768801350.577692311986469
631614.81566661976031.1843333802397
641414.3663022805178-0.366302280517777
651614.91937193184571.08062806815426
661715.00776026204071.99223973795934
671814.42674874097323.5732512590268
681814.38199197627013.61800802372994
691215.5335345798598-3.53353457985979
701614.915287873851.08471212614999
711015.353046575336-5.35304657533599
721414.3546966427612-0.354696642761228
731814.91937193184573.08062806815425
741815.79145181305262.20854818694739
751615.05789415720080.942105842799163
761714.59906862950552.40093137049446
771615.40318047049620.596819529503833
781614.29639463160961.70360536839042
791314.1823767542289-1.18237675422889
801615.68022492120640.319775078793649
811615.050372577440.949627422559978
822015.72627475837084.2737252416292
831615.54987081184270.450129188157274
841515.4724415831737-0.472441583173713
851514.80062346023870.199376539761331
861614.73888392732191.26111607267806
871415.410702050257-1.41070205025698
881614.86580051492051.13419948507952
891613.93606515879262.06393484120738
901513.19304631448811.80695368551193
911214.6661852928793-2.66618529287931
921714.79589286601232.20410713398772
931615.04220446144860.957795538551445
941514.3622182225220.637781777477957
951314.5706480967853-1.57064809678533
961615.84502322997790.154976770022125
971614.73415333309561.26584666690445
981615.23838216172460.761617838275356
991615.65701364569330.342986354306747
1001415.0544566354358-1.05445663543576
1011615.90676276289460.0932372371053941
1021614.73415333309561.26584666690445
1032015.34960905357094.6503909464291
1041514.69691814815320.303081851846776
1051614.41578963944731.58421036055269
1061314.5489347343454-1.54893473434536
1071715.72219070037511.27780929962493
1081615.39844987626980.601550123730219
1091614.62292644124931.37707355875071
1101214.3405048600821-2.34050486008207
1111614.3011252258361.69887477416404
1121614.06641926815621.93358073184376
1131714.81222909799522.18777090200478
1141314.362218222522-1.36221822252204
1151215.5877525330157-3.58775253301571
1161815.72627475837082.2737252416292
1171414.6119673397234-0.611967339723396
1181414.8617164569247-0.861716456924748
1191315.2465502777161-2.24655027771611
1201615.09921340013890.900786599861101
1211314.3697398022829-1.36973980228286
1221614.36630228051781.63369771948222
1231315.6645352254541-2.66453522545407
1241615.92245245864690.0775475413531116
1251515.05037257744-0.0503725774400218
1261614.68939656839241.31060343160759
1271516.2834284676945-1.2834284676945
1281716.64375794051150.356242059488538
1291515.280994477124-0.28099447712401
1301215.0422044614486-3.04220446144855
1311614.81222909799521.18777090200478
1321012.9480277915131-2.94802779151311
1331616.0371168722582-0.0371168722582304
1341213.805711049429-1.80571104942899
1351415.4147861082527-1.41478610825272
1361514.60444575996260.39555424003742
1371312.68258897855950.31741102144053
1381514.73479986932620.265200130673795
1391113.8166701509549-2.81667015095489
1401215.2960376366456-3.29603763664564
141814.5624799807939-6.56247998079387
1421615.05445663543580.945543364564245
1431514.3587807007570.641219299243038
1441714.49730292611212.50269707388795
1451614.67779093063591.32220906936414
1461015.9678557595807-5.96785575958068
1471814.85827893515973.14172106484033
1481314.9344150913674-1.93441509136738
1491614.75457362307421.24542637692578
1501313.9347720863313-0.934772086331314
1511015.5952741127765-5.59527411277652
1521515.2790548684321-0.279054868432054
1531615.48469375716090.515306242839086
1541614.99615462428411.00384537571589
1551413.93477208633130.0652279136686864
1561014.0466455144082-4.04664551440823
1571714.79589286601232.20410713398772
1581314.4891348101206-1.48913481012059
1591515.280994477124-0.28099447712401
1601615.31172733239790.688272667602077
1611213.8661575098844-1.86615750988442
1621314.4233112192081-1.42331121920812


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.8679102162398570.2641795675202870.132089783760143
80.7687472111571130.4625055776857750.231252788842887
90.6577636297482020.6844727405035950.342236370251798
100.5338114373925190.9323771252149630.466188562607481
110.5272060751461790.9455878497076410.47279392485382
120.5370455884509310.9259088230981380.462954411549069
130.4375323768345910.8750647536691810.562467623165409
140.3521128855206230.7042257710412450.647887114479377
150.3360359013427910.6720718026855820.663964098657209
160.276760840621020.5535216812420390.72323915937898
170.2141439759508930.4282879519017860.785856024049107
180.5154363272608280.9691273454783430.484563672739172
190.5179824010013590.9640351979972820.482017598998641
200.4450021708703580.8900043417407160.554997829129642
210.374764707511880.749529415023760.62523529248812
220.3116392479410960.6232784958821920.688360752058904
230.3697963850334040.7395927700668090.630203614966596
240.3093239178475930.6186478356951860.690676082152407
250.2617539066264540.5235078132529080.738246093373546
260.210782963033640.4215659260672810.78921703696636
270.1656604685208850.331320937041770.834339531479115
280.1339598930998230.2679197861996450.866040106900177
290.1036957591054370.2073915182108730.896304240894563
300.1030514768909970.2061029537819940.896948523109003
310.07822859469254790.1564571893850960.921771405307452
320.09722224493718190.1944444898743640.902777755062818
330.0965036641060320.1930073282120640.903496335893968
340.07433483362762270.1486696672552450.925665166372377
350.06531929457677130.1306385891535430.934680705423229
360.6462829130522440.7074341738955120.353717086947756
370.7613686482911840.4772627034176320.238631351708816
380.7379493325811890.5241013348376210.262050667418811
390.7307664611988940.5384670776022130.269233538801106
400.6894173218436060.6211653563127870.310582678156394
410.640992200524280.7180155989514410.35900779947572
420.6023898981148470.7952202037703060.397610101885153
430.6992724455887380.6014551088225240.300727554411262
440.6656863241637450.6686273516725090.334313675836255
450.6538066255832510.6923867488334970.346193374416749
460.7754182709375860.4491634581248280.224581729062414
470.7671139999344750.4657720001310490.232886000065525
480.727095780669220.545808438661560.27290421933078
490.6896235192716770.6207529614566460.310376480728323
500.669647673657280.6607046526854390.33035232634272
510.6358066273726710.7283867452546590.364193372627329
520.5908660266847890.8182679466304220.409133973315211
530.5791890445758460.8416219108483080.420810955424154
540.5507095442349730.8985809115300540.449290455765027
550.7744341965777760.4511316068444470.225565803422224
560.7559731345188080.4880537309623830.244026865481192
570.7196820931186370.5606358137627260.280317906881363
580.706738290075720.5865234198485610.29326170992428
590.6676450563108370.6647098873783250.332354943689163
600.6402952904195190.7194094191609620.359704709580481
610.6065230169935040.7869539660129920.393476983006496
620.562816918681460.874366162637080.43718308131854
630.536103186845390.9277936263092210.46389681315461
640.490116970303270.9802339406065390.50988302969673
650.4546119864335130.9092239728670260.545388013566487
660.4537579786994760.9075159573989520.546242021300524
670.518559043073310.9628819138533810.48144095692669
680.6099658253648280.7800683492703440.390034174635172
690.6895429525285670.6209140949428660.310457047471433
700.6572946292739890.6854107414520220.342705370726011
710.8397943429335330.3204113141329340.160205657066467
720.8112397891768670.3775204216462650.188760210823133
730.8394268795555690.3211462408888610.16057312044443
740.839156314942450.3216873701151010.16084368505755
750.8150540041638660.3698919916722690.184945995836134
760.8206102212738870.3587795574522250.179389778726113
770.7929929245017770.4140141509964460.207007075498223
780.7808525842021530.4382948315956950.219147415797847
790.7555232176383530.4889535647232940.244476782361647
800.7189887254860860.5620225490278270.281011274513914
810.6871537501306750.6256924997386490.312846249869325
820.7952095238518220.4095809522963560.204790476148178
830.7627927743908480.4744144512183040.237207225609152
840.7286373718118070.5427252563763860.271362628188193
850.689808514740530.6203829705189390.31019148525947
860.6631353228059380.6737293543881250.336864677194062
870.6389225040363870.7221549919272250.361077495963613
880.6075981927034280.7848036145931440.392401807296572
890.6034478779486450.7931042441027090.396552122051355
900.5920098034012460.8159803931975070.407990196598754
910.6113488399894410.7773023200211180.388651160010559
920.6187172960398750.7625654079202490.381282703960125
930.5853923893753750.8292152212492490.414607610624625
940.5459754311022040.9080491377955910.454024568897796
950.5260565975181180.9478868049637640.473943402481882
960.4819302541167950.963860508233590.518069745883205
970.4603360033807670.9206720067615340.539663996619233
980.4211141473339430.8422282946678860.578885852666057
990.3793597447451840.7587194894903680.620640255254816
1000.345585940338330.6911718806766590.65441405966167
1010.3046156616495030.6092313232990070.695384338350497
1020.2879217417115810.5758434834231620.712078258288419
1030.4761287130643180.9522574261286360.523871286935682
1040.4295610616573860.8591221233147720.570438938342614
1050.4254177462384370.8508354924768740.574582253761563
1060.4040929977162430.8081859954324850.595907002283757
1070.3887576605313620.7775153210627230.611242339468638
1080.3828672406391130.7657344812782270.617132759360887
1090.366891989635380.7337839792707590.63310801036462
1100.3692856726498620.7385713452997230.630714327350138
1110.3583818819960660.7167637639921320.641618118003934
1120.3556461494820580.7112922989641160.644353850517942
1130.3580592673748340.7161185347496680.641940732625166
1140.3236947366169090.6473894732338190.676305263383091
1150.3699239221963760.7398478443927520.630076077803624
1160.3996779050782910.7993558101565820.600322094921709
1170.3535040901460090.7070081802920180.646495909853991
1180.3103575795854640.6207151591709270.689642420414536
1190.3112721420755350.6225442841510690.688727857924465
1200.3080415517292070.6160831034584130.691958448270793
1210.2722045565112940.5444091130225890.727795443488706
1220.264162186056230.528324372112460.73583781394377
1230.2593327634497690.5186655268995380.740667236550231
1240.2183237646442990.4366475292885990.781676235355701
1250.1808235626653390.3616471253306790.819176437334661
1260.1587525100953640.3175050201907280.841247489904636
1270.1314799645050960.2629599290101920.868520035494904
1280.1226187754786050.2452375509572090.877381224521395
1290.09733631871941910.1946726374388380.902663681280581
1300.09971802326417970.1994360465283590.90028197673582
1310.08414011320966680.1682802264193340.915859886790333
1320.09415903597889760.1883180719577950.905840964021102
1330.0805725652271560.1611451304543120.919427434772844
1340.07805334644066230.1561066928813250.921946653559338
1350.06005521343220380.1201104268644080.939944786567796
1360.04592691287317830.09185382574635660.954073087126822
1370.03324500299736840.06649000599473680.966754997002632
1380.02529510551675880.05059021103351760.974704894483241
1390.03153975533740870.06307951067481730.968460244662591
1400.03338162298416890.06676324596833780.966618377015831
1410.4047241409677140.8094482819354290.595275859032286
1420.3370973131505710.6741946263011420.662902686849429
1430.273364225575810.546728451151620.72663577442419
1440.2387199940527630.4774399881055250.761280005947237
1450.1923506451321340.3847012902642690.807649354867866
1460.3654557940187020.7309115880374040.634544205981298
1470.5428418432972240.9143163134055510.457158156702776
1480.570470745203970.8590585095920610.42952925479603
1490.4755909027973660.9511818055947310.524409097202634
1500.3808553674448270.7617107348896540.619144632555173
1510.911967921802010.1760641563959810.0880320781979904
1520.9595926409266380.08081471814672360.0404073590733618
1530.9158229413695580.1683541172608830.0841770586304417
1540.8346385016862160.3307229966275680.165361498313784
1550.7059531748427180.5880936503145640.294046825157282


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 level60.0402684563758389OK