Multiple Linear Regression - Estimated Regression Equation
Celebrity[t] = + 0.500464733012453 -0.14217988308427Gender[t] + 0.0812069443486665Raised[t] + 0.092011267173835Marital[t] + 0.16911978017478Popularity[t] + 0.0953250302116789KnowingPeople[t] + 0.129653715719074Liked[t] -0.0261759550770048FindingFriends[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.5004647330124530.8129150.61560.5391450.269572
Gender-0.142179883084270.18642-0.76270.4469510.223476
Raised0.08120694434866650.1022560.79410.4284720.214236
Marital0.0920112671738350.0892661.03080.3044570.152228
Popularity0.169119780174780.0412384.10117e-053.5e-05
KnowingPeople0.09532503021167890.0320052.97840.0034240.001712
Liked0.1296537157190740.0501542.58510.0107720.005386
FindingFriends-0.02617595507700480.049327-0.53070.5965060.298253


Multiple Linear Regression - Regression Statistics
Multiple R0.680555914549806
R-squared0.463156352828723
Adjusted R-squared0.435925153334528
F-TEST (value)17.0082978874086
F-TEST (DF numerator)7
F-TEST (DF denominator)138
p-value4.44089209850063e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.04735303859423
Sum Squared Residuals151.378877468454


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
165.643136022705540.356863977294461
244.74312544811085-0.743125448110848
355.91577814886968-0.915778148869679
444.15762107000065-0.157621070000646
544.47946530603427-0.479465306034267
666.10895185665523-0.108951856655235
765.362202720147140.637797279852865
843.932569686084660.0674303139153416
942.273162120027811.72683787997219
1065.383153855836340.616846144163656
1144.79025253887706-0.790252538877062
1264.133234406739771.86676559326023
1354.694927508665380.305072491334617
1444.56067225038293-0.560672250382935
1566.46133290883649-0.461332908836487
1634.30623859940178-1.30623859940178
1754.63393116396110.3660688360389
1864.836517420022261.16348257997774
1945.52554635669922-1.52554635669922
2064.778218075631751.22178192436825
2124.69303309785761-2.69303309785761
2276.045704102482380.954295897517624
2354.595044244064760.404955755935236
2424.53642448616818-2.53642448616818
2544.85598199884926-0.855981998849259
2643.958636894498060.0413631055019396
2766.21017820782873-0.210178207828729
2865.884464814844360.115535185155635
2954.382225138718440.617774861281558
3066.19674301890516-0.196743018905156
3166.12148070369274-0.121480703692738
3245.06960010343641-1.06960010343641
3365.686021702323720.313978297676275
3466.78551841779384-0.785518417793841
3565.862934534595790.137065465404213
3621.898027407604330.101972592395666
3744.38213769827896-0.382137698278955
3854.830297747892140.169702252107863
3934.82754345952139-1.82754345952139
4076.101563068238350.89843693176165
4155.37108980612359-0.371089806123593
4233.30290746649184-0.302907466491836
4386.41286273149741.5871372685026
4486.196036715997041.80396328400296
4555.14490840649557-0.14490840649557
4664.208547124154721.79145287584528
4733.76151754333581-0.76151754333581
4855.7341322013297-0.734132201329704
4944.13334525314794-0.13334525314794
5055.70389984742547-0.703899847425466
5153.826772977740281.17322702225972
5265.348892708562680.651107291437319
5355.76236627331116-0.762366273311165
5466.02490002734767-0.024900027347671
5564.686227534754291.31377246524571
5643.474378203852030.525621796147967
5786.516340492139471.48365950786053
5864.853795936912221.14620406308778
5944.06029103922966-0.060291039229664
6065.68791611313150.3120838868685
6155.50361181277025-0.503611812770245
6255.63290585015621-0.63290585015621
6366.52885166062481-0.528851660624815
6466.20126153538483-0.201261535384833
6565.551634871336740.448365128663263
6664.419973439388311.58002656061169
6765.631248620014730.368751379985267
6865.793785459461110.206214540538887
6975.361072251352871.63892774864713
7044.09046575402852-0.0904657540285158
7144.09738051687767-0.0973805168776744
7235.26764163194896-2.26764163194896
7366.51719187459246-0.517191874592461
7455.98443551988447-0.98443551988447
7555.34067243989856-0.340672439898557
7633.63103585113242-0.631035851132423
7755.50979222007334-0.509792220073337
7844.67235420006202-0.672354200062023
7934.51179141399803-1.51179141399803
8076.733166507639830.266833492360169
8143.395716999773510.60428300022649
8245.5805539400022-1.5805539400022
8355.45870715422913-0.458707154229126
8465.15002237947520.8499776205248
8523.41427387010287-1.41427387010287
8622.48188002633295-0.481880026332946
8764.866151637754241.13384836224576
8843.482169978776460.517830021223539
8954.919267489921750.0807325100782496
9065.312602074013780.687397925986222
9176.522968018215160.477031981784844
9286.155045447186631.84495455281337
9366.44325204508449-0.443252045084487
9465.236896267700730.763103732299275
9534.52589516893009-1.52589516893009
9676.644469003503840.35553099649616
9734.38419581518341-1.38419581518341
9865.806103335382340.193896664617661
9944.20635533480116-0.206355334801163
10044.83766036264688-0.837660362646882
10164.60635250219621.3936474978038
10266.36441596012699-0.364415960126991
10363.860039309678412.13996069032159
10445.68508287943125-1.68508287943125
10575.466906540455151.53309345954485
10655.27313600955807-0.273136009558073
10776.390000539458240.609999460541762
10844.36343797205832-0.363437972058323
10965.584631645053550.41536835494645
11066.21463908520302-0.21463908520302
11165.118796485889370.881203514110628
11255.11104801913938-0.111048019139377
11355.13483785928872-0.134837859288725
11465.546225254494810.453774745505195
11575.455545899111551.54445410088845
11645.16880954613532-1.16880954613532
11745.26025016385977-1.26025016385977
11885.770624855866192.22937514413381
11965.462173425187240.537826574812759
12034.39110407426271-1.39110407426271
12144.69577398779247-0.69577398779247
12254.56536123338580.434638766614205
12354.189944754948740.810055245051262
12465.850408367230590.149591632769408
12586.77100224874921.22899775125081
12625.21793921444517-3.21793921444517
12743.963440804663280.0365591953367177
12876.237777595890.762222404110002
12954.12981479157730.870185208422704
13065.543482140906350.456517859093654
13166.25703306070132-0.25703306070132
13245.34684331908169-1.34684331908169
13355.52545891625973-0.525458916259732
13465.721216769163960.278783230836039
13565.82297676602020.177023233979801
13665.675957915543380.324042084456618
13765.851114670138710.148885329861289
13855.47707617936013-0.477076179360131
13955.00573897156748-0.00573897156747607
14066.80534861280874-0.805348612808743
14144.59597189217495-0.595971892174951
14264.254735392028461.74526460797154
14334.1963000431308-1.1963000431308
14464.548476627965641.45152337203436
14586.516340492139471.48365950786053
14646.34722071196469-2.34722071196469


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.4770267028548330.9540534057096670.522973297145167
120.4078666918514860.8157333837029720.592133308148514
130.2699252323722580.5398504647445160.730074767627742
140.1666546626338640.3333093252677270.833345337366136
150.09910065198563110.1982013039712620.900899348014369
160.1048990179569240.2097980359138470.895100982043076
170.06224348761588580.1244869752317720.937756512384114
180.28589842473570.5717968494713990.7141015752643
190.2481050458498330.4962100916996660.751894954150167
200.4549234223303650.909846844660730.545076577669635
210.8356157552730610.3287684894538780.164384244726939
220.8818224204032150.236355159193570.118177579596785
230.841421267052370.3171574658952590.158578732947629
240.9326406101009320.1347187797981360.0673593898990678
250.9235351372891810.1529297254216370.0764648627108186
260.8967293704680120.2065412590639770.103270629531988
270.8636027791941520.2727944416116950.136397220805848
280.8264618498649640.3470763002700720.173538150135036
290.8015265959403650.3969468081192710.198473404059635
300.7529883073171860.4940233853656280.247011692682814
310.6994350829076450.6011298341847110.300564917092355
320.6769601017767230.6460797964465530.323039898223276
330.6469893311568610.7060213376862770.353010668843139
340.5973122259290270.8053755481419460.402687774070973
350.5414682563685490.9170634872629020.458531743631451
360.5067011034977140.9865977930045720.493298896502286
370.4530234216357170.9060468432714340.546976578364283
380.395397546216910.790795092433820.60460245378309
390.4943931268307790.9887862536615580.505606873169221
400.5080234337981230.9839531324037540.491976566201877
410.4553108596068340.9106217192136670.544689140393166
420.4040092673887030.8080185347774060.595990732611297
430.5106370089130540.9787259821738910.489362991086946
440.623217516760650.75356496647870.37678248323935
450.5701594404205980.8596811191588050.429840559579402
460.6675308137892540.6649383724214920.332469186210746
470.63729521868070.72540956263860.3627047813193
480.6164034473224110.7671931053551780.383596552677589
490.5645161492107340.8709677015785320.435483850789266
500.5374140854465960.9251718291068080.462585914553404
510.5502961896144320.8994076207711360.449703810385568
520.5140315302809320.9719369394381370.485968469719068
530.4821381764502820.9642763529005640.517861823549718
540.4331166008517980.8662332017035970.566883399148202
550.4615832038047970.9231664076095930.538416796195203
560.4275911029865890.8551822059731780.572408897013411
570.4831161472344880.9662322944689770.516883852765512
580.4986589999068890.9973179998137790.501341000093111
590.4476610853101410.8953221706202820.552338914689859
600.4009523025077290.8019046050154580.599047697492271
610.3636327312986620.7272654625973240.636367268701338
620.3318404757266080.6636809514532150.668159524273392
630.2981914802598350.596382960519670.701808519740165
640.2577042361969190.5154084723938390.742295763803081
650.2243469304658450.448693860931690.775653069534155
660.2780294952975170.5560589905950340.721970504702483
670.2477637295762880.4955274591525750.752236270423712
680.2115838181571610.4231676363143220.788416181842839
690.2603980194267450.5207960388534910.739601980573255
700.2258785635985470.4517571271970940.774121436401453
710.1910378310599050.3820756621198090.808962168940095
720.3337834241389050.667566848277810.666216575861095
730.3032991436993240.6065982873986490.696700856300676
740.2970098925464910.5940197850929830.702990107453509
750.2580164896621580.5160329793243150.741983510337842
760.2326432550316030.4652865100632060.767356744968397
770.2028529688968180.4057059377936370.797147031103182
780.1881669546997550.3763339093995090.811833045300245
790.2257883186711880.4515766373423770.774211681328812
800.1925202280571520.3850404561143040.807479771942848
810.1728303121360250.3456606242720510.827169687863975
820.2071448222384330.4142896444768670.792855177761567
830.1844081709955850.368816341991170.815591829004415
840.1792288462616840.3584576925233670.820771153738316
850.1918644561599650.3837289123199290.808135543840035
860.1638507075248860.3277014150497720.836149292475114
870.1717785500832560.3435571001665130.828221449916744
880.1511385304078310.3022770608156610.84886146959217
890.1236817831493960.2473635662987910.876318216850604
900.1083587732410030.2167175464820060.891641226758997
910.09106854070416550.1821370814083310.908931459295835
920.1465933806156870.2931867612313740.853406619384313
930.1226128258436830.2452256516873660.877387174156317
940.1128555618008310.2257111236016630.887144438199169
950.1307654304823170.2615308609646350.869234569517683
960.1103965456328090.2207930912656190.88960345436719
970.1282644993914410.2565289987828820.87173550060856
980.1027616653380590.2055233306761190.89723833466194
990.0817587944805390.1635175889610780.918241205519461
1000.07550806411643670.1510161282328730.924491935883563
1010.08592456466422390.1718491293284480.914075435335776
1020.06812787670457390.1362557534091480.931872123295426
1030.1171355595662670.2342711191325330.882864440433733
1040.170496713933460.340993427866920.82950328606654
1050.2438558169539840.4877116339079680.756144183046016
1060.2065493517759060.4130987035518130.793450648224094
1070.1832226154914730.3664452309829470.816777384508527
1080.1575618942060070.3151237884120140.842438105793993
1090.1305127828797650.2610255657595310.869487217120235
1100.1034040545497130.2068081090994270.896595945450287
1110.1140659171765470.2281318343530940.885934082823453
1120.0951753487619620.1903506975239240.904824651238038
1130.07564784857643060.1512956971528610.92435215142357
1140.06153194526039150.1230638905207830.938468054739608
1150.07835374394749940.1567074878949990.9216462560525
1160.07451786840304680.1490357368060940.925482131596953
1170.07939926266693480.158798525333870.920600737333065
1180.1434018014541010.2868036029082020.856598198545899
1190.1571822144571620.3143644289143240.842817785542838
1200.1466741264916060.2933482529832110.853325873508394
1210.1149493596394270.2298987192788540.885050640360573
1220.1118482785773010.2236965571546020.888151721422699
1230.08357135592994720.1671427118598940.916428644070053
1240.0599762770298750.119952554059750.940023722970125
1250.1003171815214630.2006343630429250.899682818478537
1260.3399179858773270.6798359717546540.660082014122673
1270.2643361499611230.5286722999222460.735663850038877
1280.2630356855935740.5260713711871480.736964314406426
1290.1972158229332370.3944316458664730.802784177066763
1300.1410662613859660.2821325227719330.858933738614034
1310.09277516789383450.1855503357876690.907224832106165
1320.1800048540999090.3600097081998170.819995145900091
1330.1525087805292390.3050175610584780.847491219470761
1340.08938023702765470.1787604740553090.910619762972345
1350.04421777176521230.08843554353042450.955782228234788


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 level10.008OK