Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 5.76026176710084 + 0.107709501362639Connected[t] -0.0281633972582685Separate[t] + 0.580005731309102Software[t] + 0.0686845771588498Happiness[t] -0.0885767852871986Depression[t] + 0.00157183286835583Belonging[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.760261767100842.7577912.08870.0386110.019305
Connected0.1077095013626390.0494822.17670.0312380.015619
Separate-0.02816339725826850.046263-0.60880.5437060.271853
Software0.5800057313091020.0733997.902100
Happiness0.06868457715884980.0845530.81230.4180350.209017
Depression-0.08857678528719860.061553-1.4390.1524590.076229
Belonging0.001571832868355830.0153870.10220.9187850.459393


Multiple Linear Regression - Regression Statistics
Multiple R0.62502737778305
R-squared0.390659222978356
Adjusted R-squared0.363577410666283
F-TEST (value)14.4251506685245
F-TEST (DF numerator)6
F-TEST (DF denominator)135
p-value1.14308562615406e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.81425492296871
Sum Squared Residuals444.355324944685


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11615.37766260674290.622337393257072
21614.80859975982031.19140024017969
31916.41433936311662.58566063688339
41614.69936644135951.30063355864052
51714.60822598998092.39177401001905
61716.76191387403610.238086125963903
71614.69621011958491.30378988041508
81516.1340986206719-1.13409862067189
91615.2581486053480.741851394651991
101414.0023949591923-0.00239495919232862
111515.6982587582456-0.698258758245628
121212.0563621407486-0.056362140748597
131415.0659754080849-1.0659754080849
141615.52836587074930.471634129250696
151415.4639531751404-1.46395317514038
16712.8395529062434-5.83955290624341
171010.4364573388577-0.436457338857749
181415.7474278499318-1.74742784993183
191614.21215856152561.78784143847443
201614.5163476364711.48365236352903
211614.99373514040121.0062648595988
221415.4298271852644-1.42982718526443
232018.12729800338831.87270199661172
241414.0666347594013-0.0666347594012815
251414.8230317644042-0.823031764404186
261115.4307799642503-4.43077996425027
271416.6301715590681-2.63017155906806
281514.91099433403720.0890056659628334
291614.90295942939261.09704057060744
301415.9485052123583-1.9485052123583
311616.5831943014097-0.583194301409741
321413.98894309443120.0110569055687925
331214.4978161611758-2.49781616117584
341615.57384379435820.426156205641835
35911.1546615134396-2.15466151343963
361412.41112552503991.5888744749601
371616.0272162472382-0.0272162472381986
381615.22474096752330.775259032476736
391515.1648849330451-0.164884933045123
401613.97818756848622.02181243151378
411211.12425985746190.875740142538112
421615.80674529829130.193254701708723
431616.370386203883-0.370386203882957
441414.296844845061-0.296844845060991
451615.47303769767380.526962302326156
461715.86637088615341.13362911384663
471816.12563111862031.87436888137967
481814.48723542825673.51276457174333
491215.7722611249778-3.77226112497782
501615.3467675232250.65323247677499
511013.3947850417264-3.39478504172642
521414.2642906880534-0.264290688053398
531816.45018146967151.54981853032849
541817.07156104204690.928438957953148
551615.67263068901430.32736931098571
561713.60308461919553.39691538080449
571616.3697100297326-0.369710029732644
581614.42493316392361.57506683607642
591314.8629328454702-1.86293284547019
601616.1257577776259-0.125757777625929
611615.44096060230320.559039397696845
622015.89571336513384.10428663486621
631615.79279511539770.207204884602285
641515.92696559419-0.926965594190032
651514.70999254878230.290007451217738
661614.17278431250631.82721568749367
671413.97155982136640.0284401786335832
681615.32430770569010.675692294309915
691614.59180406871031.40819593128972
701513.98748304283281.01251695716723
711213.4363089921837-1.43630899218374
721717.0857877721761-0.0857877721760632
731615.3352653824260.664734617574019
741515.1402820593041-0.140282059304088
751315.1318824442401-2.13188244424007
761614.9974625578881.00253744211201
771615.8153117497250.184688250275019
781613.98692298736532.01307701263474
791616.0686382223247-0.0686382223246587
801414.2571009250044-0.257100925004443
811617.3607500127344-1.36075001273438
821614.66158761858021.3384123814198
832017.46548169214192.5345183078581
841514.68338041177350.316619588226463
851614.33358075278331.66641924721675
861315.1695687940721-2.1695687940721
871716.07164058492840.9283594150716
881615.76268783204660.237312167953379
891614.47522092368831.5247790763117
901211.90225499665080.0977450033491526
911614.91314403547521.08685596452475
921615.83313863984490.166861360155085
931714.48920572483762.51079427516243
941314.350298695496-1.35029869549599
951214.8808753872363-2.88087538723633
961816.73272212062041.26727787937957
971415.5346019898498-1.53460198984984
981412.85600894584791.14399105415214
991314.9818689329843-1.98186893298431
1001615.57380655236060.426193447639381
1011314.2331347794015-1.23313477940154
1021615.71988747458590.280112525414117
1031315.9107362460251-2.9107362460251
1041617.2364981331119-1.23649813311191
1051516.1523523226935-1.15235232269346
1061616.9126798309623-0.91267983096229
1071515.4602494086251-0.460249408625067
1081716.17935596947140.820644030528606
1091513.9788253827481.02117461725204
1101214.9727076648412-2.97270766484125
1111614.10778601283261.89221398716743
1121013.2053285953874-3.20532859538742
1131613.93217390889742.06782609110256
1141214.0073654450621-2.00736544506206
1151415.7190358636082-1.7190358636082
1161515.3380646016507-0.338064601650717
1171312.17972790938770.820272090612265
1181514.63726351070080.362736489299179
1191113.229065976075-2.22906597607501
1201213.3691059812832-1.36910598128322
121813.2720235346204-5.27202353462038
1221613.11883593379892.88116406620105
1231513.24495508444351.7550449155565
1241716.73975415703330.260245842966744
1251614.91993958160241.08006041839764
1261014.100124078739-4.10012407873897
1271816.14211970084061.85788029915938
1281315.2823324026825-2.28233240268251
1291615.26172702428190.738272975718114
1301312.89886325767340.101136742326622
1311012.9845280498778-2.98452804987782
1321516.2933585825768-1.29335858257685
1331613.98558960000832.01441039999165
1341611.78622167855684.21377832144323
1351412.25624340037431.74375659962568
1361012.5027761791616-2.50277617916164
1371717.0857877721761-0.0857877721760632
1381311.47492005412361.52507994587637
1391513.9788253827481.02117461725204
1401615.12896154198820.871038458011757
1411212.2231595088172-0.223159508817216
1421312.63267576899210.367324231007866


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.09720326758105430.1944065351621090.902796732418946
110.07672699360475250.1534539872095050.923273006395247
120.04980353346078640.09960706692157290.950196466539214
130.2438529210372410.4877058420744820.756147078962759
140.1547741748615960.3095483497231920.845225825138404
150.12955501008580.2591100201716010.8704449899142
160.7519284422525730.4961431154948530.248071557747427
170.6717468836989170.6565062326021670.328253116301083
180.7228675748587810.5542648502824390.27713242514122
190.8046192335610070.3907615328779870.195380766438993
200.7985153002366140.4029693995267720.201484699763386
210.7560259682853970.4879480634292070.243974031714603
220.7521859760450440.4956280479099120.247814023954956
230.7067800354810820.5864399290378350.293219964518918
240.6458676494023240.7082647011953530.354132350597676
250.5908792542809060.8182414914381870.409120745719094
260.864165447446980.2716691051060390.13583455255302
270.8948272356934040.2103455286131930.105172764306596
280.8635565175877020.2728869648245950.136443482412298
290.8311702115807650.3376595768384690.168829788419235
300.8291556993585590.3416886012828820.170844300641441
310.7871954941070320.4256090117859370.212804505892968
320.7387034597571150.522593080485770.261296540242885
330.7688390542128080.4623218915743850.231160945787192
340.7281111196051280.5437777607897440.271888880394872
350.7103160754031850.5793678491936290.289683924596815
360.6985308806031050.602938238793790.301469119396895
370.6524689108110140.6950621783779720.347531089188986
380.6256835608467330.7486328783065330.374316439153267
390.5735805357014940.8528389285970120.426419464298506
400.5968453962573920.8063092074852160.403154603742608
410.5620697736538360.8758604526923280.437930226346164
420.5068244191232020.9863511617535960.493175580876798
430.453594055475310.9071881109506210.54640594452469
440.4004344545389370.8008689090778750.599565545461063
450.3491627371071480.6983254742142960.650837262892852
460.3385966885998150.677193377199630.661403311400185
470.3276784893151270.6553569786302540.672321510684873
480.4692110988493730.9384221976987470.530788901150627
490.609240247555810.781519504888380.39075975244419
500.5657643142855360.8684713714289280.434235685714464
510.6472950847789630.7054098304420750.352704915221037
520.5984315279467880.8031369441064250.401568472053212
530.5838380506414740.8323238987170520.416161949358526
540.5557088294573590.8885823410852820.444291170542641
550.5077105717899160.9845788564201680.492289428210084
560.5979748489582250.8040503020835510.402025151041775
570.5515359845693610.8969280308612780.448464015430639
580.526444390444710.947111219110580.47355560955529
590.5476965437479750.904606912504050.452303456252025
600.4979651225137770.9959302450275550.502034877486223
610.4530813711872790.9061627423745570.546918628812721
620.6697521274108380.6604957451783230.330247872589161
630.6257290853361280.7485418293277440.374270914663872
640.5937147183102790.8125705633794430.406285281689721
650.5460919611006590.9078160777986830.453908038899341
660.5448757903607860.9102484192784280.455124209639214
670.4968289270372790.9936578540745580.503171072962721
680.4537237461957340.9074474923914690.546276253804266
690.4311900579621930.8623801159243860.568809942037807
700.3946713361729590.7893426723459170.605328663827041
710.3715396308295660.7430792616591330.628460369170434
720.3437691739940050.6875383479880110.656230826005995
730.3079125768554430.6158251537108860.692087423144557
740.2690031701489560.5380063402979120.730996829851044
750.2815683118325620.5631366236651240.718431688167438
760.2544758075968020.5089516151936040.745524192403198
770.2202000368770780.4404000737541550.779799963122922
780.229655061546710.4593101230934210.77034493845329
790.1938570264741790.3877140529483580.806142973525821
800.1630738809921370.3261477619842740.836926119007863
810.1480578797596880.2961157595193760.851942120240312
820.1364170518803950.2728341037607910.863582948119604
830.1710273602091130.3420547204182260.828972639790887
840.1416357891436160.2832715782872320.858364210856384
850.1398962076658970.2797924153317930.860103792334103
860.1537841434350370.3075682868700740.846215856564963
870.13600932749320.2720186549864010.8639906725068
880.1181065799199730.2362131598399460.881893420080027
890.1148037634460730.2296075268921460.885196236553927
900.1041252104164030.2082504208328050.895874789583597
910.09062192231836870.1812438446367370.909378077681631
920.07330835035731280.1466167007146260.926691649642687
930.09343428164990630.1868685632998130.906565718350094
940.07999553096299280.1599910619259860.920004469037007
950.1062665576989620.2125331153979240.893733442301038
960.09892495391934460.1978499078386890.901075046080655
970.08507729059537010.170154581190740.91492270940463
980.07393592092804620.1478718418560920.926064079071954
990.07666384572556920.1533276914511380.923336154274431
1000.0707934560263810.1415869120527620.929206543973619
1010.05829531382180330.1165906276436070.941704686178197
1020.04557761222781010.09115522445562010.95442238777219
1030.05317915824387110.1063583164877420.946820841756129
1040.04251004397985530.08502008795971060.957489956020145
1050.03433024654670480.06866049309340950.965669753453295
1060.02588264520131510.05176529040263030.974117354798685
1070.01899333410076090.03798666820152190.981006665899239
1080.01544287983091020.03088575966182030.98455712016909
1090.01186065783416640.02372131566833270.988139342165834
1100.01710531179546170.03421062359092340.982894688204538
1110.01514627480061020.03029254960122040.98485372519939
1120.02355730627474910.04711461254949820.976442693725251
1130.02739511983742650.0547902396748530.972604880162574
1140.03564025850914560.07128051701829110.964359741490854
1150.02837038469621320.05674076939242640.971629615303787
1160.01942329409731510.03884658819463020.980576705902685
1170.01308390136681190.02616780273362380.986916098633188
1180.008530005897219820.01706001179443960.99146999410278
1190.01596560742308470.03193121484616940.984034392576915
1200.01360663830343230.02721327660686470.986393361696568
1210.4764542707110160.9529085414220320.523545729288984
1220.4251208281012840.8502416562025680.574879171898716
1230.3659559901481360.7319119802962730.634044009851864
1240.3105299037619070.6210598075238140.689470096238093
1250.2568314675184380.5136629350368770.743168532481562
1260.2615804226969560.5231608453939120.738419577303044
1270.2893691360679820.5787382721359640.710630863932018
1280.7703101232301130.4593797535397730.229689876769886
1290.7105309995517220.5789380008965560.289469000448278
1300.5886540050842290.8226919898315430.411345994915771
1310.8340595999834140.3318808000331720.165940400016586
1320.8372104304675090.3255791390649830.162789569532491


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level110.0894308943089431NOK
10% type I error level190.154471544715447NOK