Multiple Linear Regression - Estimated Regression Equation
Popularity[t] = + 1.42973727530118 + 0.0679559785674146FindingFriends[t] + 0.257687676023935KnowingPeople[t] + 0.366618607059788Liked[t] + 0.675903357645973Celebrity[t] -0.0596577206056682Geslacht[t] -0.128099410571831Happiness[t] -0.647557306757711UsingHands[t] -0.196214101838047Quiet[t] + 0.454124178125426EyeContact[t] + 0.198962264726567CrossArms[t] + 0.194097726936484SmilingTalking[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.429737275301182.8800680.49640.6206130.310307
FindingFriends0.06795597856741460.114670.59260.5546860.277343
KnowingPeople0.2576876760239350.0803163.20840.0017610.000881
Liked0.3666186070597880.1139763.21660.0017160.000858
Celebrity0.6759033576459730.1813033.7280.000310.000155
Geslacht-0.05965772060566820.50957-0.11710.907020.45351
Happiness-0.1280994105718310.13393-0.95650.3409940.170497
UsingHands-0.6475573067577110.34204-1.89320.061030.030515
Quiet-0.1962141018380470.136818-1.43410.1544540.077227
EyeContact0.4541241781254260.2099672.16280.032780.01639
CrossArms0.1989622647265670.1665681.19450.234930.117465
SmilingTalking0.1940977269364840.3380960.57410.5671120.283556


Multiple Linear Regression - Regression Statistics
Multiple R0.727346569060866
R-squared0.529033031524613
Adjusted R-squared0.480615866541162
F-TEST (value)10.9265594486054
F-TEST (DF numerator)11
F-TEST (DF denominator)107
p-value2.81441536742477e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.05898166248144
Sum Squared Residuals453.616387048529


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11311.00457460906761.99542539093237
21210.55043008913781.44956991086223
31513.21186388654731.78813611345268
41211.57594041426630.424059585733664
51011.9464928190928-1.94649281909279
6910.4848107042366-1.48481070423656
71211.9791405952060.020859404794037
8118.922153711065782.07784628893422
91112.1455245684748-1.14552456847483
101112.0181130072561-1.01811300725606
111513.50091713319811.49908286680186
12710.7292190066368-3.72921900663677
131112.0703821396859-1.07038213968595
14119.573334288586061.42666571141394
151011.3067531002422-1.30675310024216
161413.41864709487950.581352905120548
17108.06481950813171.9351804918683
1867.94486080504862-1.94486080504862
19117.794809006139573.20519099386043
201514.30001697085920.699983029140782
211413.2165200536850.783479946314983
22913.7749318041153-4.77493180411528
231311.91756287639821.08243712360175
241610.4926722596685.50732774033198
25137.94759031913415.0524096808659
261212.2790439372672-0.279043937267188
271414.6939977169802-0.693997716980227
28119.736930341557971.26306965844204
29910.1658794665605-1.16587946656046
301614.01138955468931.98861044531072
311212.2770206559694-0.277020655969426
32108.471717002996681.52828299700332
331313.0171515912932-0.0171515912932296
341615.44370607688760.556293923112422
3559.02814785028552-4.02814785028552
36810.4823883456822-2.48238834568223
371112.4819376897124-1.48193768971243
381614.58326163540491.41673836459509
391712.89893704513714.10106295486291
4097.860301892766241.13969810723376
41911.9557965105435-2.95579651054349
421314.244930811429-1.24493081142901
43610.0061701161472-4.00617011614722
441212.1396686008041-0.139668600804067
45811.6243632806534-3.62436328065335
461412.16109953182981.83890046817019
471212.2204693672247-0.220469367224733
481110.52116376755920.478836232440766
491614.436813086781.56318691322003
5089.88974947853361-1.88974947853361
511514.91204265500780.0879573449922338
5279.07804701073926-2.07804701073926
531613.96992984476812.03007015523187
541414.0174721880548-0.0174721880547607
55910.2443822917313-1.24438229173134
561412.03073766976821.96926233023179
571113.8863042732833-2.88630427328328
581511.99947131079153.00052868920854
591512.33430013127292.66569986872715
601312.03073766976820.969262330231787
611111.8085286204357-0.808528620435679
621113.686838705269-2.68683870526898
631212.8274550809735-0.827455080973473
641214.1240710013144-2.12407100131443
651211.98426639152270.0157336084772647
661212.2136697216109-0.213669721610937
671410.43301453906243.56698546093765
6867.46048032476614-1.46048032476614
6979.50174736952451-2.50174736952451
701413.73854087002610.261459129973863
711011.0073354277487-1.00733542774869
72138.188078057030874.81192194296913
731212.7978933403962-0.797893340396246
7499.28824111182083-0.288241111820833
751614.84782091793341.15217908206664
76109.88950902239930.110490977600702
771614.54829351768861.45170648231139
781513.34379209835121.65620790164884
7987.711110498228170.288889501771825
801112.7498386456421-1.74983864564207
811312.19126567536630.808734324633683
821615.97448430596330.025515694036669
831415.05650612315-1.05650612315003
84910.0276436452936-1.02764364529357
8589.95083348958265-1.95083348958265
86810.9682434246756-2.96824342467563
871111.8776732775281-0.877673277528131
881213.6802688662808-1.68026886628082
891413.63843538650250.361564613497518
901514.22471253021560.77528746978441
911613.71774729804292.28225270195712
921614.88891465914871.11108534085131
931112.5885162028708-1.58851620287077
941413.58863498652180.411365013478156
951410.65707572469413.34292427530594
961211.09165031032130.908349689678733
971313.1369529315639-0.136952931563935
981210.787008483611.21299151639001
991615.52982200395760.470177996042445
1001213.216520053685-1.21652005368502
1011110.83283130096120.167168699038784
10245.97962920214694-1.97962920214694
1031615.41599123990940.584008760090567
1041010.5781720296904-0.578172029690445
1051312.72901965567160.270980344328352
1061414.0350926946725-0.0350926946724795
10779.93496221807539-2.93496221807539
1081212.5136356699401-0.513635669940068
1091211.35277164500390.647228354996094
1101313.3254509847209-0.325450984720871
1111512.3225832518332.67741674816699
1121210.57627495827341.4237250417266
113811.163079291537-3.16307929153696
1141014.1591215292839-4.15912152928388
1151614.52850095502471.47149904497526
1161313.0569007304688-0.0569007304688109
11799.49971446490676-0.499714464906765
1181413.50103457448740.498965425512618
1191412.52425779203391.47574220796612


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
150.4817838182706710.9635676365413420.518216181729329
160.448354354720380.8967087094407610.55164564527962
170.3131467632976560.6262935265953110.686853236702344
180.4502288487318320.9004576974636640.549771151268168
190.4070970007906260.8141940015812530.592902999209374
200.3520445759176780.7040891518353560.647955424082322
210.2569887979699830.5139775959399660.743011202030017
220.4606333577347870.9212667154695740.539366642265213
230.3760603551619370.7521207103238740.623939644838063
240.5688259183005190.8623481633989630.431174081699481
250.8356425691315070.3287148617369860.164357430868493
260.8846969713461130.2306060573077740.115303028653887
270.8455982970737650.3088034058524710.154401702926235
280.807133631626290.3857327367474180.192866368373709
290.8211403654607810.3577192690784380.178859634539219
300.795357237495630.409285525008740.20464276250437
310.7596328192578560.4807343614842880.240367180742144
320.7302373400453080.5395253199093840.269762659954692
330.6932363519590750.613527296081850.306763648040925
340.6641942329592590.6716115340814820.335805767040741
350.885893914972570.228212170054860.11410608502743
360.8899504245382610.2200991509234770.110049575461739
370.8628413347219060.2743173305561890.137158665278094
380.8437821299766910.3124357400466180.156217870023309
390.8813640143756280.2372719712487440.118635985624372
400.9109939680009050.1780120639981890.0890060319990945
410.9389296755158280.1221406489683430.0610703244841716
420.9346696607121870.1306606785756260.0653303392878131
430.9604860704034270.0790278591931450.0395139295965725
440.946290204164750.1074195916704990.0537097958352495
450.9801672237235320.03966555255293510.0198327762764676
460.9778031287234930.04439374255301430.0221968712765072
470.9688127574422120.06237448511557530.0311872425577877
480.9588812166258860.08223756674822780.0411187833741139
490.9580224426542510.08395511469149770.0419775573457488
500.9598665858108920.08026682837821620.0401334141891081
510.945601461628080.1087970767438390.0543985383719195
520.9397020314806330.1205959370387340.060297968519367
530.949526919028540.1009461619429210.0504730809714605
540.9338677622447410.1322644755105170.0661322377552587
550.9225930836131560.1548138327736890.0774069163868445
560.9210484410190650.1579031179618690.0789515589809345
570.942511004379340.1149779912413180.0574889956206589
580.965788710395410.06842257920918040.0342112896045902
590.9823025304005470.03539493919890610.017697469599453
600.9766684192607340.04666316147853290.0233315807392664
610.9691946293864450.06161074122711020.0308053706135551
620.9748071552930250.05038568941395040.0251928447069752
630.9684993528038230.06300129439235420.0315006471961771
640.9706570811616480.05868583767670510.0293429188383525
650.959703731216060.08059253756788250.0402962687839413
660.9460063322671040.1079873354657910.0539936677328956
670.9742457231194820.05150855376103670.0257542768805184
680.9690433720098270.06191325598034580.0309566279901729
690.9673861595604180.06522768087916330.0326138404395817
700.9548783671145640.09024326577087280.0451216328854364
710.9437377680009550.112524463998090.0562622319990448
720.9910794378559650.01784112428806960.00892056214403479
730.9877350127527990.02452997449440260.0122649872472013
740.9818625684924060.03627486301518860.0181374315075943
750.9753380526768350.04932389464633030.0246619473231652
760.9659518391120720.06809632177585640.0340481608879282
770.9631379705992010.07372405880159690.0368620294007985
780.9596730715166480.0806538569667040.040326928483352
790.9435202188660270.1129595622679460.0564797811339731
800.932203897091330.1355922058173380.0677961029086692
810.9158278420885730.1683443158228530.0841721579114266
820.917592154686350.1648156906273010.0824078453136506
830.889458755619020.221082488761960.11054124438098
840.8557424907288310.2885150185423370.144257509271169
850.8403083749490210.3193832501019580.159691625050979
860.9372310395072120.1255379209855770.0627689604927883
870.913042799365020.1739144012699610.0869572006349803
880.9434050262581430.1131899474837140.0565949737418568
890.9199211413286260.1601577173427480.0800788586713739
900.8916376308136830.2167247383726330.108362369186317
910.8888827858705380.2222344282589230.111117214129462
920.84567904045110.30864191909780.1543209595489
930.7956264284452810.4087471431094380.204373571554719
940.7349381876441090.5301236247117820.265061812355891
950.8089198209293890.3821603581412230.191080179070611
960.7563919593231860.4872160813536280.243608040676814
970.6731705548356990.6536588903286020.326829445164301
980.6705649098149130.6588701803701750.329435090185087
990.7148186590806860.5703626818386280.285181340919314
1000.6741456034341910.6517087931316180.325854396565809
1010.6674175349563490.6651649300873010.332582465043651
1020.5441428814449770.9117142371100460.455857118555023
1030.4332238013343560.8664476026687120.566776198665644
1040.282017433956290.564034867912580.71798256604371


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level80.0888888888888889NOK
10% type I error level260.288888888888889NOK