Multiple Linear Regression - Estimated Regression Equation
percieved_competence[t] = + 6.04207610205134 + 0.145036499278661gender[t] + 0.140985144142353age[t] + 0.102250221850415connected[t] -0.0263053859889658seperate[t] + 0.532858482851705software[t] + 0.050866292866091happiness[t] -0.0802171236440452depression[t] -0.00436013736029397t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6.042076102051342.4739652.44230.0157350.007867
gender0.1450364992786610.3226620.44950.6537070.326854
age0.1409851441423530.1281921.09980.2731480.136574
connected0.1022502218504150.0473822.1580.0324880.016244
seperate-0.02630538598896580.045461-0.57860.5636820.281841
software0.5328584828517050.0704297.565800
happiness0.0508662928660910.0769430.66110.5095460.254773
depression-0.08021712364404520.056287-1.42510.1561520.078076
t-0.004360137360293970.003204-1.36070.1756030.087801


Multiple Linear Regression - Regression Statistics
Multiple R0.605070715580696
R-squared0.366110570853336
Adjusted R-squared0.332966025538478
F-TEST (value)11.045877002549
F-TEST (DF numerator)8
F-TEST (DF denominator)153
p-value3.02458058598631e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.8427368578023
Sum Squared Residuals519.538906446775


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11316.6511638111484-3.65116381114838
21616.068989069993-0.0689890699930241
31916.60017928842412.39982071157585
41512.02121784010242.97878215989763
51415.9978991946731-1.99789919467307
61315.2493733287637-2.24937332876369
71915.52049872048343.47950127951663
81516.9624510138564-1.96245101385643
91416.1132780128503-2.1132780128503
101512.55346452718882.44653547281119
111615.44624399067890.553756009321129
121616.4904024055108-0.49040240551084
131615.49988432528060.500115674719385
141615.65743629321370.342563706786262
151717.7609003665975-0.760900366597455
161515.3505807933259-0.350580793325935
171514.85679510779520.143204892204789
182016.36212166857213.63787833142792
191815.99170530426232.00829469573769
201615.8274169826710.172583017329034
211615.41992151650310.580078483496913
221615.12623299582970.873767004170278
231916.88359882837282.11640117162724
241615.3205490625990.679450937401008
251714.70708615285812.2929138471419
261716.79621565010110.203784349898871
271615.49961696531680.500383034683249
281516.425824164235-1.42582416423499
291615.45106687749490.548933122505073
301414.2149554491827-0.214955449182659
311515.8213250001047-0.821325000104654
321212.3923703802388-0.392370380238811
331415.3931072461806-1.39310724618065
341615.66694623952010.333053760479855
351415.4903867646498-1.49038676464977
36713.0411358153156-6.04113581531563
371010.9311077677391-0.931107767739136
381415.733974054813-1.73397405481296
391614.40795950307321.59204049692679
401614.61598825409451.38401174590555
411615.02438365580020.975616344199819
421415.8294718948123-1.82947189481232
432017.91328943369872.08671056630133
441414.3677980613534-0.367798061353357
451415.3283885338423-1.32838853384229
461115.892056898258-4.89205689825805
471416.6599472993998-2.65994729939985
481515.0497117697408-0.0497117697408062
491614.88675970098951.11324029901046
501415.8909427740911-1.89094277409109
511616.4178333127765-0.417833312776544
521414.0658298964765-0.0658298964764859
531214.5748031936782-2.57480319367825
541615.97501662793130.0249833720686972
55911.4747650833591-2.4747650833591
561412.73193279233551.26806720766452
571616.1882475371727-0.188247537172711
581615.14941709473360.850582905266352
591515.2817072641108-0.281707264110767
601614.33654985323431.6634501467657
611211.4896230408950.510376959104991
621615.98776351843030.0122364815697093
631616.5161328427869-0.516132842786906
641414.8805815109151-0.88058151091514
651615.81115033828140.188849661718557
661715.76316258508371.23683741491626
671816.30210711882631.69789288117367
681814.60302870152783.39697129847218
691215.7862421359069-3.78624213590694
701615.22654364618920.773456353810819
711013.4531564597402-3.45315645974023
721414.365344283727-0.365344283726967
731816.20858768476371.79141231523628
741816.93820282276531.06179717723467
751615.64545052676930.354549473230739
761713.92728310939923.07271689060076
771616.4013529640169-0.4013529640169
781614.79900898943761.20099101056245
791314.7096002965715-1.70960029657147
801616.2318198969495-0.23181989694948
811615.38202359258860.617976407411428
822015.72415184301984.27584815698021
831615.71598397800420.284016021995754
841515.5455391068136-0.545539106813587
851515.1288747743425-0.128874774342529
861614.64173911743771.35826088256229
871413.88820287972640.111797120273573
881615.27708134167060.722918658329383
891614.76579856923071.23420143076928
901513.99544602229361.00455397770645
911213.4806960203101-1.48069602031009
921716.92606001451550.073939985484493
931615.24629256586930.753707434130738
941515.0658512406601-0.0658512406600965
951315.1933341352671-2.19333413526711
961615.0603086897280.939691310272005
971615.7307930093840.269206990615992
981614.13952338896671.86047661103331
991615.72590022107270.274099778927299
1001414.3524160629756-0.352416062975559
1011617.0577899848507-1.05778998485071
1021614.63922400174281.36077599825718
1032017.28080696728022.71919303271979
1041514.65360964504710.346390354952948
1051614.12758624789661.87241375210336
1061315.0060733649987-2.00607336499873
1071715.86113416446441.13886583553563
1081615.74328502661920.256714973380814
1091614.48493735628221.51506264371779
1101212.7267949574546-0.726794957454556
1111614.9014647065531.09853529344704
1121615.80769484762710.192305152372948
1131714.37818233181632.62181766818366
1141314.3102117255214-1.31021172552138
1151214.7061067261053-2.70610672610529
1161816.68955340398241.31044659601765
1171415.6471995661366-1.64719956613662
1181412.87904407172761.12095592827245
1191315.1053748738777-2.10537487387767
1201615.49653105662560.503468943374428
1211314.3200233554403-1.32002335544035
1221616.0448387417756-0.0448387417755789
1231315.9172544181624-2.91725441816242
1241617.0023326374339-1.00233263743387
1251515.8586143166685-0.858614316668478
1261616.5611273436006-0.56112734360065
1271515.1768471400343-0.17684714003431
1281716.01706114484560.982938855154393
1291514.06364836562470.936351634375277
1301214.7625520885984-2.76255208859841
1311613.83224796511242.16775203488759
1321013.0526315249304-3.05263152493035
1331613.93856230833312.06143769166689
1341213.5595700316117-1.5595700316117
1351415.28176402277-1.28176402277003
1361515.3203400831997-0.320340083199718
1371312.08924894711520.910751052884821
1381514.57866036838360.421339631616382
1391113.4644442341623-2.46444423416226
1401213.3954892718818-1.39548927188183
141813.0207099911854-5.02070999118537
1421613.44220574353872.55779425646125
1431512.92820951191352.07179048808648
1441716.29843304650910.701566953490942
1451614.48638362504741.51361637495262
1461014.0103620078051-4.01036200780513
1471815.59532664192722.40467335807285
1481314.8917604921053-1.89176049210531
1491614.82122693744241.17877306255763
1501312.98637105162330.013628948376688
1511012.9605421828954-2.96054218289535
1521516.2022452493487-1.20224524934874
1531614.29439882068841.70560117931163
1541611.90438745094724.09561254905284
1551412.66512275341321.33487724658678
1561012.254920048858-2.25492004885799
1571716.64265108609640.357348913903601
1581311.57410534637681.42589465362324
1591513.93284424481591.0671557551841
1601615.05690932905680.943090670943157
1611212.2567515916689-0.256751591668855
1621312.64188705217460.358112947825393


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.2001591841433830.4003183682867670.799840815856617
130.2812275516348730.5624551032697450.718772448365127
140.356591190187160.713182380374320.64340880981284
150.3633921700282640.7267843400565290.636607829971736
160.3647896401073460.7295792802146920.635210359892654
170.3391244460283760.6782488920567530.660875553971624
180.7002388810687330.5995222378625350.299761118931267
190.8036402055849030.3927195888301950.196359794415097
200.7364647839159320.5270704321681360.263535216084068
210.6830571690301390.6338856619397210.31694283096986
220.6398644759986450.720271048002710.360135524001355
230.6116348499578990.7767303000842020.388365150042101
240.5622945005579640.8754109988840720.437705499442036
250.5081444284369110.9837111431261780.491855571563089
260.4591278005942550.918255601188510.540872199405745
270.4047645116798480.8095290233596960.595235488320152
280.516923598226110.9661528035477790.48307640177389
290.4630787437388630.9261574874777260.536921256261137
300.5067470133537680.9865059732924630.493252986646232
310.445653772948380.8913075458967590.55434622705162
320.4654913397503070.9309826795006140.534508660249693
330.4367569265408980.8735138530817960.563243073459102
340.3773557587821510.7547115175643010.622644241217849
350.3832355698449760.7664711396899530.616764430155024
360.8724909698409760.2550180603180490.127509030159024
370.8542436372731950.2915127254536110.145756362726805
380.8438681901927520.3122636196144960.156131809807248
390.8698317034727190.2603365930545610.130168296527281
400.8585988602357170.2828022795285660.141401139764283
410.8360486543090750.3279026913818490.163951345690925
420.8182951753119650.3634096493760690.181704824688034
430.8253833365567390.3492333268865210.174616663443261
440.7898716261357390.4202567477285220.210128373864261
450.7540172524213470.4919654951573050.245982747578653
460.8911199191820460.2177601616359080.108880080817954
470.9039626312979580.1920747374040840.096037368702042
480.8856411382975680.2287177234048630.114358861702432
490.8671810946729950.265637810654010.132818905327005
500.8636303011263280.2727393977473450.136369698873672
510.8345249556499840.3309500887000320.165475044350016
520.8019719580838470.3960560838323050.198028041916153
530.821330729125680.3573385417486390.17866927087432
540.8055924417744520.3888151164510970.194407558225548
550.816486645797130.367026708405740.18351335420287
560.813364083862310.3732718322753810.18663591613769
570.7810801422515510.4378397154968970.218919857748449
580.7663771026606770.4672457946786460.233622897339323
590.7328104007222210.5343791985555580.267189599277779
600.744636135836670.5107277283266590.25536386416333
610.711333985389180.577332029221640.28866601461082
620.6759072367422440.6481855265155130.324092763257756
630.6399958701695310.7200082596609380.360004129830469
640.6117066442509290.7765867114981420.388293355749071
650.5794832101428360.8410335797143290.420516789857164
660.5542825460207450.8914349079585090.445717453979255
670.5437062630960330.9125874738079330.456293736903967
680.6698992816437540.6602014367124920.330100718356246
690.7909096769110710.4181806461778590.209090323088929
700.761046483807870.477907032384260.23895351619213
710.8401878380572550.319624323885490.159812161942745
720.8131891373139590.3736217253720810.186810862686041
730.8099536174485690.3800927651028620.190046382551431
740.7894745668928120.4210508662143760.210525433107188
750.7552054033078340.4895891933843320.244794596692166
760.8040622695547070.3918754608905860.195937730445293
770.7719748292673350.4560503414653310.228025170732666
780.7477459857347420.5045080285305150.252254014265258
790.7487804578031740.5024390843936510.251219542196826
800.7132844751086060.5734310497827880.286715524891394
810.6788677172700050.6422645654599890.321132282729995
820.8213085739840180.3573828520319650.178691426015982
830.7896058793621110.4207882412757780.210394120637889
840.7617698805020790.4764602389958420.238230119497921
850.7293346585134930.5413306829730140.270665341486507
860.7072459938473790.5855080123052420.292754006152621
870.6651549683168330.6696900633663340.334845031683167
880.6246385657039510.7507228685920980.375361434296049
890.5926015827373830.8147968345252340.407398417262617
900.5657793307513190.8684413384973620.434220669248681
910.553552243242820.8928955135143590.44644775675718
920.510233005239440.9795339895211210.48976699476056
930.4692766912899870.9385533825799740.530723308710013
940.4233403195431140.8466806390862280.576659680456886
950.4576132044957760.9152264089915520.542386795504224
960.4183041801277990.8366083602555970.581695819872201
970.375931890087520.751863780175040.62406810991248
980.3665172623620620.7330345247241240.633482737637938
990.3232185448397330.6464370896794650.676781455160267
1000.2890216649173430.5780433298346850.710978335082657
1010.2614859561158560.5229719122317120.738514043884144
1020.2445414570278210.4890829140556410.75545854297218
1030.2925823490399250.585164698079850.707417650960075
1040.2517730597024240.5035461194048480.748226940297576
1050.2722733738561850.544546747712370.727726626143815
1060.274160811060880.5483216221217610.72583918893912
1070.2613965139555540.5227930279111080.738603486044446
1080.2361073074569810.4722146149139620.763892692543019
1090.2377558581873440.4755117163746880.762244141812656
1100.2141691765788950.428338353157790.785830823421105
1110.1984665991647180.3969331983294350.801533400835282
1120.1717647990441670.3435295980883330.828235200955833
1130.2528138973588490.5056277947176980.747186102641151
1140.2223813805759040.4447627611518070.777618619424096
1150.2332787916872210.4665575833744430.766721208312779
1160.2172821176320290.4345642352640570.782717882367971
1170.1913195018610850.3826390037221690.808680498138915
1180.2090294449352280.4180588898704560.790970555064772
1190.2073719392093760.4147438784187530.792628060790624
1200.2144881400037570.4289762800075140.785511859996243
1210.1838613219923590.3677226439847190.816138678007641
1220.150980009182140.301960018364280.84901999081786
1230.1603062823454060.3206125646908120.839693717654594
1240.1307343444168440.2614686888336890.869265655583156
1250.1051186621064120.2102373242128240.894881337893588
1260.08170348094936180.1634069618987240.918296519050638
1270.06184653239681130.1236930647936230.938153467603189
1280.06980687492938550.1396137498587710.930193125070614
1290.05885216102818260.1177043220563650.941147838971817
1300.05730868577219680.1146173715443940.942691314227803
1310.07233651759134530.1446730351826910.927663482408655
1320.07676354650552930.1535270930110590.923236453494471
1330.1843921335836870.3687842671673750.815607866416313
1340.1622460019377640.3244920038755270.837753998062236
1350.147166137679360.294332275358720.85283386232064
1360.1136706376473270.2273412752946540.886329362352673
1370.08847745533905590.1769549106781120.911522544660944
1380.07598845736243480.151976914724870.924011542637565
1390.1194016769453590.2388033538907180.880598323054641
1400.08880492966310680.1776098593262140.911195070336893
1410.496694345932880.9933886918657610.50330565406712
1420.430278150359210.860556300718420.56972184964079
1430.4116792810807990.8233585621615980.588320718919201
1440.6564040230082930.6871919539834130.343595976991707
1450.7041499841401610.5917000317196780.295850015859839
1460.6227924595758250.7544150808483510.377207540424175
1470.5426394972927290.9147210054145430.457360502707271
1480.6374238924937470.7251522150125060.362576107506253
1490.5196278160282750.9607443679434490.480372183971725
1500.4163877727677750.832775545535550.583612227232225


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 level00OK