Multiple Linear Regression - Estimated Regression Equation
Outgoing_individual[t] = + 4.63804297612813 + 0.198276959865628Use_hands[t] + 0.0495029182312416Hand_on_hips[t] -0.181863766272155Quiet[t] -0.085479891445489Cry[t] + 0.245226823362989M1[t] -0.877661823616402M2[t] -0.221717725290417M3[t] + 0.0719584093341535M4[t] -0.0352653748959642M5[t] -0.024667112301529M6[t] -0.453271984214956M7[t] -0.496418989010359M8[t] -0.169742988683824M9[t] -0.599406888374538M10[t] -0.559638369709124M11[t] + 0.000464717242268103t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4.638042976128130.8590935.398800
Use_hands0.1982769598656280.1046591.89450.0601230.030061
Hand_on_hips0.04950291823124160.0829990.59640.5518050.275903
Quiet-0.1818637662721550.069388-2.6210.009690.004845
Cry-0.0854798914454890.064169-1.33210.184890.092445
M10.2452268233629890.5210230.47070.6385780.319289
M2-0.8776618236164020.531969-1.64980.1011110.050556
M3-0.2217177252904170.530012-0.41830.6763190.33816
M40.07195840933415350.5240040.13730.8909620.445481
M5-0.03526537489596420.524866-0.06720.9465220.473261
M6-0.0246671123015290.523096-0.04720.9624530.481226
M7-0.4532719842149560.524102-0.86490.3885280.194264
M8-0.4964189890103590.527013-0.94190.3477650.173882
M9-0.1697429886838240.533339-0.31830.7507360.375368
M10-0.5994068883745380.53097-1.12890.2607830.130392
M11-0.5596383697091240.536933-1.04230.298990.149495
t0.0004647172422681030.0023190.20040.8414750.420737


Multiple Linear Regression - Regression Statistics
Multiple R0.421783084617372
R-squared0.177900970469345
Adjusted R-squared0.0884208039898186
F-TEST (value)1.98816092401939
F-TEST (DF numerator)16
F-TEST (DF denominator)147
p-value0.0173296701356702
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.34812072119769
Sum Squared Residuals267.162133401621


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
154.235080396541440.764919603458564
222.85974515298935-0.859745152989348
364.408267644482611.59173235551739
444.76019343632605-0.760193436326054
565.408584385895720.591415614104284
634.17706876482928-1.17706876482928
754.101752159321250.898247840678746
834.35373070646042-1.35373070646042
954.341573819883080.658426180116922
1043.874153477078810.125846522921194
1113.33847850106532-2.33847850106532
1264.921075262291861.07892473770814
1365.861132143347970.138867856652026
1463.644638367401442.35536163259856
1544.70075168872825-0.70075168872825
1664.988854705991311.01114529400869
1754.819066775755220.180933224244776
1834.40022082428224-1.40022082428224
1954.484582243789780.515417756210221
2043.979166587229850.0208334127701512
2154.851898603615120.148101396384883
2264.769485135726031.23051486427397
2334.13518209774429-1.13518209774429
2445.06938807622969-1.06938807622969
2555.05377379372108-0.053773793721081
2643.944875809000950.0551241909990482
2754.466301814892470.533698185107527
2865.220554074130290.779445925869711
2974.196722778427792.80327722157221
3024.06676511398398-2.06676511398398
3144.79572366877047-0.795723668770468
3264.467040342764631.53295965723537
3354.118473100617640.881526899382363
3453.979068604084091.02093139591591
3553.520591497770731.47940850222927
3664.719519172337951.28048082766205
3765.017335592810270.982664407189729
3813.68048679655471-2.68048679655471
3945.16886572388636-1.16886572388636
4024.48777163256771-2.48777163256771
4134.4250062735988-1.42500627359880
4244.84128296940636-0.841282969406362
4353.834725128731791.16527487126821
4444.88007485278429-0.880074852784286
4543.928659996235700.0713400037642955
4634.58236138967483-1.58236138967483
4744.00531466727821-0.00531466727821403
4864.248571178280721.75142882171928
4944.86665004766989-0.866650047669886
5054.371881435226760.628118564773244
5144.2098460840486-0.209846084048601
5254.088134523504070.91186547649593
5364.989700124339481.01029987566052
5465.235017037256060.76498296274394
5544.84285385579915-0.84285385579915
5644.09228028277817-0.0922802827781667
5765.267161244268940.732838755731056
5843.846579211982200.153420788017805
5923.67763150464307-1.67763150464307
6065.221629331019550.778370668980446
6154.959950733164170.0400492668358269
6263.325025229248352.67497477075165
6364.615127196714381.38487280328562
6455.05542012857979-0.0554201285797854
6555.35360949062213-0.353609490622128
6654.279413270386260.720586729613736
6753.909172492735121.09082750726488
6834.05097593308996-1.05097593308996
6944.80776029502779-0.807760295027788
7014.18856617445907-3.18856617445907
7154.498765029720220.501234970279783
7224.95697503163265-2.95697503163265
7365.084096956154650.915903043845352
7453.741210325295301.25878967470470
7523.81695726771856-1.81695726771856
7665.209505490180730.790494509819272
7754.505030244509350.494969755490647
7865.331650142515980.668349857484015
7934.44339858047385-1.44339858047385
8043.764135892446460.235864107553538
8144.07775066499827-0.07775066499827
8244.28513188302408-0.285131883024076
8344.41623978354613-0.416239783546128
8454.419847588299880.580152411700123
8524.47501556639338-2.47501556639338
8633.30597401751166-0.305974017511657
8754.701121605533780.298878394466215
8864.653606229069491.34639377093051
8954.65424945733290.345750542667102
9064.568928562342941.43107143765706
9134.41299821416682-1.41299821416682
9244.19448999494531-0.194489994945308
9344.76678862897516-0.766788628975163
9434.03426881559482-1.03426881559482
9544.12138300809793-0.121383008097932
9645.66196496150645-1.66196496150645
9745.13122714318333-1.13122714318333
9823.11353895149391-1.11353895149391
9964.855735591526211.14426440847379
10035.5648224569187-2.5648224569187
10154.990463872146660.00953612785334228
10255.14741364504127-0.147413645041269
10353.986309215069191.01369078493081
10453.952286723755651.04771327624435
10545.27107557810342-1.27107557810342
10624.16130228716178-2.16130228716178
10754.832606713331420.167393286668583
10834.22406404600909-1.22406404600909
10965.750933122367550.249066877632455
11064.747344095654341.25265590434566
11113.73730321361355-2.73730321361355
11275.651012806494011.34898719350599
11355.11461009513713-0.114610095137132
11464.604511704555541.39548829544446
11564.119115234299261.88088476570074
11664.423218661305481.57678133869452
11734.58517409313627-1.58517409313627
11864.392736368360101.60726363163990
11973.721927732772633.27807226722737
12065.001732487458770.998267512541232
12155.06240967576457-0.0624096757645715
12253.736199575949521.26380042405048
12354.599279860682340.400720139317661
12454.976015304908030.0239846950919717
12544.6485282498573-0.648528249857296
12665.313113448153210.686886551846791
12744.72438886958076-0.724388869580765
12864.809201281291151.19079871870885
12965.33173171014910.668268289850902
13043.927297584515160.0727024154848396
13133.77438529627527-0.774385296275273
13255.27150216605633-0.27150216605633
13375.536757486282361.46324251371764
13432.970590747199990.0294092528000057
13544.13635055091964-0.136350550919644
13624.59043276525287-2.59043276525287
13744.71739900695341-0.717399006953412
13844.31234428743808-0.312344287438084
13933.91755914434536-0.917559144345355
14024.71550676479522-2.71550676479522
14153.243459162219831.75654083778017
14254.065235039463290.934764960536708
14344.33683495987437-0.336834959874371
14464.485951783191791.51404821680821
14555.52277031356881-0.522770313568806
14614.38393319023821-3.38393319023821
14754.152831141208040.847168858791962
14864.394959600761391.60504039923861
14954.682132491868980.317867508131016
15055.45058967540478-0.450589675404777
15154.804608781247220.195391218752785
15254.759304532058260.240695467941737
15344.40849310276969-0.408493102769686
15473.893814028875753.10618597112425
15564.620659207880411.37934079211959
15655.79777891568528-0.79777891568528
15765.442867029030530.557132970969466
15834.1745563062355-1.17455630623550
15954.43126061604520.568739383954804
16065.358716845315570.641283154684429
16113.49489675355513-2.49489675355513
16265.271680554404020.728319445595978
16344.62281241166998-0.622812411669981
16454.558587444295150.441412555704847


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.267401355189660.534802710379320.73259864481034
210.2456511113560020.4913022227120030.754348888643998
220.1676649056713060.3353298113426130.832335094328694
230.1326958597336390.2653917194672790.86730414026636
240.4264422609259050.852884521851810.573557739074095
250.3384713172563210.6769426345126410.66152868274368
260.2607997724907800.5215995449815590.73920022750922
270.2216061865960220.4432123731920440.778393813403978
280.2127423195351120.4254846390702240.787257680464888
290.3047993322086580.6095986644173150.695200667791342
300.2667470837898570.5334941675797140.733252916210143
310.2142878213985080.4285756427970160.785712178601492
320.2335793417837640.4671586835675280.766420658216236
330.1795332471135780.3590664942271560.820466752886422
340.1411090226880640.2822180453761280.858890977311936
350.2312182382653590.4624364765307190.76878176173464
360.2225372278440440.4450744556880890.777462772155956
370.1805988804232850.361197760846570.819401119576715
380.3297670749040820.6595341498081650.670232925095918
390.3144672348399430.6289344696798850.685532765160057
400.5366869263140660.9266261473718670.463313073685934
410.6437521880989580.7124956238020840.356247811901042
420.6348681466619540.7302637066760910.365131853338046
430.5959233214909980.8081533570180040.404076678509002
440.5436697189752280.9126605620495440.456330281024772
450.4866258105930520.9732516211861040.513374189406948
460.5435521818703720.9128956362592560.456447818129628
470.4979348824005560.9958697648011120.502065117599444
480.5009925734982170.9980148530035660.499007426501783
490.4854164715010270.9708329430020540.514583528498973
500.4425004409451460.8850008818902920.557499559054854
510.394947002102460.789894004204920.60505299789754
520.3711873467594160.7423746935188320.628812653240584
530.3419568268213740.6839136536427480.658043173178626
540.4068973835176750.813794767035350.593102616482325
550.3698235067066160.7396470134132310.630176493293384
560.3197441347642910.6394882695285810.68025586523571
570.285927384190380.571854768380760.71407261580962
580.2481083449866880.4962166899733760.751891655013312
590.25021003097570.50042006195140.7497899690243
600.2202337157480220.4404674314960430.779766284251978
610.1827460550738430.3654921101476860.817253944926157
620.3044576457802510.6089152915605020.695542354219749
630.3030537914077910.6061075828155820.696946208592209
640.2593950264685410.5187900529370820.740604973531459
650.2378988487027990.4757976974055990.7621011512972
660.2164080470248540.4328160940497080.783591952975146
670.2002662678182720.4005325356365440.799733732181728
680.1846054097164920.3692108194329850.815394590283508
690.1630377867557060.3260755735114120.836962213244294
700.3223563916246380.6447127832492750.677643608375363
710.2918978566570250.5837957133140510.708102143342975
720.5272453705402920.9455092589194150.472754629459708
730.501067775734890.997864448530220.49893222426511
740.5066465016942860.9867069966114280.493353498305714
750.5351195669490050.929760866101990.464880433050995
760.5113717515079760.977256496984050.488628248492024
770.480038784094910.960077568189820.51996121590509
780.4622651168102230.9245302336204470.537734883189777
790.4630329120558930.9260658241117860.536967087944107
800.4180924278219260.8361848556438520.581907572178074
810.3722217469082920.7444434938165850.627778253091708
820.3315442799136240.6630885598272480.668455720086376
830.2946551679439880.5893103358879770.705344832056012
840.2642039459163390.5284078918326790.735796054083661
850.3435699910175590.6871399820351190.656430008982441
860.3082451248407320.6164902496814630.691754875159268
870.2753237295976470.5506474591952940.724676270402353
880.2797690386908350.559538077381670.720230961309165
890.2515559222155490.5031118444310970.748444077784451
900.2667825827677420.5335651655354830.733217417232258
910.2563919428717010.5127838857434020.7436080571283
920.2185325407012210.4370650814024410.78146745929878
930.1882445862746970.3764891725493940.811755413725303
940.1735242386092310.3470484772184620.826475761390769
950.1489526845725960.2979053691451920.851047315427404
960.1516813142163420.3033626284326830.848318685783658
970.1418066727691620.2836133455383250.858193327230838
980.1279702750549870.2559405501099730.872029724945013
990.1246913624931890.2493827249863780.875308637506811
1000.1963429719256850.3926859438513710.803657028074315
1010.1679322998623710.3358645997247430.832067700137629
1020.1409682856082670.2819365712165350.859031714391733
1030.1297826695768840.2595653391537690.870217330423116
1040.1187777700435090.2375555400870190.88122222995649
1050.1103887333545100.2207774667090210.88961126664549
1060.196260326771610.392520653543220.80373967322839
1070.1751473709239970.3502947418479940.824852629076003
1080.1922938958175540.3845877916351080.807706104182446
1090.1685961829685210.3371923659370420.831403817031479
1100.1696323543495540.3392647086991070.830367645650446
1110.3138691062481750.627738212496350.686130893751825
1120.3095159244442960.6190318488885920.690484075555704
1130.2713042286329370.5426084572658740.728695771367063
1140.2543433629972670.5086867259945340.745656637002733
1150.3212856952471150.642571390494230.678714304752885
1160.3230559649304110.6461119298608210.67694403506959
1170.3578831509260860.7157663018521720.642116849073914
1180.3390182351876150.6780364703752310.660981764812385
1190.5141701898620650.971659620275870.485829810137935
1200.4779896117379740.9559792234759480.522010388262026
1210.428736936837410.857473873674820.57126306316259
1220.5307363118652220.9385273762695560.469263688134778
1230.4876492366241850.975298473248370.512350763375815
1240.4235823068203360.8471646136406720.576417693179664
1250.3790817756751580.7581635513503170.620918224324842
1260.3509322860479250.701864572095850.649067713952075
1270.2933214050980600.5866428101961190.70667859490194
1280.3501627823655800.7003255647311590.64983721763442
1290.3403469907752460.6806939815504930.659653009224754
1300.3057969217374980.6115938434749950.694203078262502
1310.3378097332866640.6756194665733280.662190266713336
1320.2730916361409660.5461832722819320.726908363859034
1330.380170670212930.760341340425860.61982932978707
1340.4903969578297730.9807939156595460.509603042170227
1350.405856029132140.811712058264280.59414397086786
1360.5109928400302460.9780143199395080.489007159969754
1370.4328372857351990.8656745714703990.567162714264801
1380.3581855951732230.7163711903464460.641814404826777
1390.4047949928717270.8095899857434540.595205007128273
1400.4564388556316650.912877711263330.543561144368335
1410.5509768766202520.8980462467594960.449023123379748
1420.5033654788851380.9932690422297240.496634521114862
1430.712382357902110.5752352841957790.287617642097889
1440.5605378426385170.8789243147229660.439462157361483


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