Multiple Linear Regression - Estimated Regression Equation
Celebrity[t] = + 0.500464733012455 -0.026175955077005FF[t] -0.142179883084269Geslacht[t] + 0.0812069443486666Opvoeding[t] + 0.0920112671738348Huwelijksstatus[t] + 0.169119780174780Popularity[t] + 0.095325030211679KnowingPeople[t] + 0.129653715719074Liked[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.5004647330124550.8129150.61560.5391450.269572
FF-0.0261759550770050.049327-0.53070.5965060.298253
Geslacht-0.1421798830842690.18642-0.76270.4469510.223476
Opvoeding0.08120694434866660.1022560.79410.4284720.214236
Huwelijksstatus0.09201126717383480.0892661.03080.3044570.152228
Popularity0.1691197801747800.0412384.10117e-053.5e-05
KnowingPeople0.0953250302116790.0320052.97840.0034240.001712
Liked0.1296537157190740.0501542.58510.0107720.005386


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
165.643136022705520.356863977294483
244.74312544811084-0.743125448110845
355.91577814886968-0.915778148869678
444.15762107000065-0.157621070000648
544.47946530603427-0.479465306034268
666.10895185665523-0.108951856655234
765.362202720147130.637797279852869
843.932569686084660.0674303139153404
942.273162120027811.72683787997219
1065.383153855836340.616846144163657
1144.79025253887706-0.790252538877061
1264.133234406739771.86676559326023
1354.694927508665380.305072491334618
1444.56067225038293-0.560672250382934
1566.46133290883649-0.461332908836488
1634.30623859940178-1.30623859940178
1754.63393116396110.366068836038901
1864.836517420022261.16348257997774
1945.52554635669922-1.52554635669922
2064.778218075631751.22178192436825
2124.69303309785761-2.69303309785761
2276.045704102482380.954295897517624
2354.595044244064760.404955755935236
2424.53642448616818-2.53642448616818
2544.85598199884926-0.85598199884926
2643.958636894498060.0413631055019396
2766.21017820782873-0.210178207828729
2865.884464814844360.115535185155636
2954.382225138718440.617774861281557
3066.19674301890516-0.196743018905155
3166.12148070369274-0.121480703692738
3245.06960010343641-1.06960010343641
3365.686021702323730.313978297676273
3466.78551841779384-0.785518417793842
3565.862934534595790.137065465404214
3621.898027407604330.101972592395666
3744.38213769827895-0.382137698278955
3854.830297747892140.169702252107863
3934.82754345952139-1.82754345952139
4076.101563068238350.89843693176165
4155.37108980612359-0.371089806123594
4233.30290746649183-0.302907466491834
4386.41286273149741.5871372685026
4486.196036715997041.80396328400296
4555.14490840649557-0.144908406495570
4664.208547124154721.79145287584528
4733.76151754333581-0.76151754333581
4855.7341322013297-0.734132201329705
4944.13334525314794-0.133345253147940
5055.70389984742547-0.703899847425468
5153.826772977740281.17322702225972
5265.348892708562680.651107291437319
5355.76236627331117-0.762366273311166
5466.02490002734767-0.0249000273476717
5564.686227534754291.31377246524571
5643.474378203852030.525621796147968
5786.516340492139471.48365950786053
5864.853795936912221.14620406308778
5944.06029103922966-0.0602910392296643
6065.68791611313150.3120838868685
6155.50361181277025-0.503611812770247
6255.63290585015621-0.632905850156211
6366.52885166062481-0.528851660624815
6466.20126153538483-0.201261535384834
6565.551634871336740.448365128663263
6664.419973439388311.58002656061169
6765.631248620014740.368751379985263
6865.793785459461110.206214540538888
6975.361072251352871.63892774864713
7044.09046575402852-0.0904657540285153
7144.09738051687767-0.097380516877674
7235.26764163194896-2.26764163194896
7366.51719187459246-0.517191874592462
7455.98443551988447-0.98443551988447
7555.34067243989856-0.340672439898557
7633.63103585113242-0.631035851132423
7755.50979222007334-0.509792220073337
7844.67235420006202-0.672354200062024
7934.51179141399803-1.51179141399803
8076.733166507639830.266833492360168
8143.395716999773510.604283000226489
8245.5805539400022-1.5805539400022
8355.45870715422913-0.458707154229126
8465.15002237947520.849977620524801
8523.41427387010287-1.41427387010287
8622.48188002633295-0.481880026332947
8764.866151637754241.13384836224576
8843.482169978776460.517830021223539
8954.919267489921750.0807325100782491
9065.312602074013780.687397925986222
9176.522968018215160.477031981784844
9286.155045447186631.84495455281337
9366.44325204508449-0.443252045084487
9465.236896267700720.763103732299276
9534.52589516893009-1.52589516893009
9676.644469003503840.355530996496159
9734.38419581518341-1.38419581518341
9865.806103335382340.19389666461766
9944.20635533480116-0.206355334801164
10044.83766036264688-0.837660362646881
10164.60635250219621.39364749780380
10266.36441596012699-0.364415960126991
10363.860039309678412.13996069032159
10445.68508287943125-1.68508287943125
10575.466906540455161.53309345954484
10655.27313600955807-0.273136009558073
10776.390000539458240.609999460541762
10844.36343797205832-0.363437972058323
10965.584631645053550.41536835494645
11066.21463908520302-0.214639085203021
11165.118796485889370.881203514110628
11255.11104801913938-0.111048019139377
11355.13483785928873-0.134837859288726
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
12254.56536123338580.434638766614204
12354.189944754948740.810055245051261
12465.850408367230590.149591632769408
12586.771002248749191.22899775125081
12625.21793921444517-3.21793921444517
12743.963440804663280.0365591953367169
12876.237777595890.762222404110003
12954.12981479157730.870185208422704
13065.543482140906350.456517859093653
13166.25703306070132-0.257033060701320
13245.34684331908169-1.34684331908169
13355.52545891625973-0.525458916259732
13465.721216769163960.278783230836037
13565.82297676602020.177023233979802
13665.675957915543380.324042084456617
13765.851114670138710.148885329861289
13855.47707617936013-0.477076179360131
13955.00573897156748-0.00573897156747614
14066.80534861280874-0.805348612808742
14144.59597189217495-0.595971892174952
14264.254735392028461.74526460797154
14334.1963000431308-1.19630004313080
14464.548476627965641.45152337203436
14586.516340492139471.48365950786053
14646.34722071196469-2.34722071196469


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.4770267028548340.9540534057096670.522973297145166
120.4078666918514860.8157333837029710.592133308148514
130.2699252323722580.5398504647445160.730074767627742
140.1666546626338630.3333093252677260.833345337366137
150.0991006519856310.1982013039712620.900899348014369
160.1048990179569240.2097980359138490.895100982043076
170.06224348761588560.1244869752317710.937756512384114
180.2858984247356980.5717968494713960.714101575264302
190.2481050458498330.4962100916996660.751894954150167
200.4549234223303660.9098468446607320.545076577669634
210.8356157552730620.3287684894538770.164384244726938
220.8818224204032150.2363551591935710.118177579596785
230.8414212670523710.3171574658952570.158578732947629
240.9326406101009320.1347187797981360.0673593898990681
250.9235351372891820.1529297254216370.0764648627108185
260.8967293704680120.2065412590639760.103270629531988
270.8636027791941530.2727944416116950.136397220805848
280.8264618498649640.3470763002700730.173538150135037
290.8015265959403630.3969468081192740.198473404059637
300.7529883073171860.4940233853656280.247011692682814
310.6994350829076440.6011298341847130.300564917092356
320.6769601017767240.6460797964465520.323039898223276
330.646989331156860.706021337686280.35301066884314
340.5973122259290270.8053755481419450.402687774070973
350.5414682563685480.9170634872629040.458531743631452
360.5067011034977130.9865977930045750.493298896502287
370.4530234216357160.9060468432714330.546976578364283
380.3953975462169090.7907950924338170.604602453783091
390.4943931268307780.9887862536615560.505606873169222
400.5080234337981230.9839531324037550.491976566201877
410.4553108596068340.9106217192136680.544689140393166
420.4040092673887040.8080185347774080.595990732611296
430.5106370089130520.9787259821738950.489362991086948
440.6232175167606510.7535649664786980.376782483239349
450.5701594404205980.8596811191588030.429840559579402
460.6675308137892520.6649383724214970.332469186210748
470.63729521868070.72540956263860.3627047813193
480.6164034473224090.7671931053551810.383596552677591
490.5645161492107350.870967701578530.435483850789265
500.5374140854465950.925171829106810.462585914553405
510.5502961896144320.8994076207711360.449703810385568
520.5140315302809310.9719369394381380.485968469719069
530.4821381764502830.9642763529005660.517861823549717
540.4331166008517990.8662332017035990.566883399148201
550.4615832038047970.9231664076095940.538416796195203
560.4275911029865890.8551822059731780.572408897013411
570.4831161472344890.9662322944689780.516883852765511
580.498658999906890.997317999813780.50134100009311
590.447661085310140.895322170620280.55233891468986
600.4009523025077310.8019046050154620.599047697492269
610.3636327312986640.7272654625973280.636367268701336
620.3318404757266080.6636809514532150.668159524273392
630.2981914802598360.5963829605196710.701808519740164
640.257704236196920.515408472393840.74229576380308
650.2243469304658470.4486938609316930.775653069534153
660.2780294952975160.5560589905950320.721970504702484
670.2477637295762890.4955274591525780.752236270423711
680.2115838181571610.4231676363143220.788416181842839
690.2603980194267450.5207960388534910.739601980573255
700.2258785635985480.4517571271970950.774121436401452
710.1910378310599030.3820756621198060.808962168940097
720.3337834241389060.6675668482778120.666216575861094
730.3032991436993230.6065982873986470.696700856300677
740.2970098925464930.5940197850929850.702990107453507
750.2580164896621580.5160329793243170.741983510337842
760.2326432550316010.4652865100632020.767356744968399
770.2028529688968180.4057059377936370.797147031103182
780.1881669546997540.3763339093995090.811833045300246
790.2257883186711880.4515766373423760.774211681328812
800.1925202280571530.3850404561143060.807479771942847
810.1728303121360270.3456606242720540.827169687863973
820.2071448222384330.4142896444768660.792855177761567
830.1844081709955820.3688163419911650.815591829004418
840.1792288462616830.3584576925233670.820771153738317
850.1918644561599640.3837289123199280.808135543840036
860.1638507075248880.3277014150497770.836149292475112
870.1717785500832590.3435571001665170.828221449916741
880.1511385304078310.3022770608156620.848861469592169
890.1236817831493960.2473635662987920.876318216850604
900.1083587732410020.2167175464820050.891641226758998
910.09106854070416540.1821370814083310.908931459295835
920.1465933806156870.2931867612313750.853406619384313
930.1226128258436830.2452256516873670.877387174156317
940.1128555618008310.2257111236016620.887144438199169
950.1307654304823170.2615308609646330.869234569517683
960.1103965456328080.2207930912656170.889603454367192
970.1282644993914410.2565289987828830.871735500608559
980.1027616653380590.2055233306761190.89723833466194
990.0817587944805390.1635175889610780.918241205519461
1000.0755080641164370.1510161282328740.924491935883563
1010.08592456466422480.1718491293284500.914075435335775
1020.06812787670457370.1362557534091470.931872123295426
1030.1171355595662660.2342711191325320.882864440433734
1040.170496713933460.340993427866920.82950328606654
1050.2438558169539830.4877116339079670.756144183046017
1060.2065493517759070.4130987035518140.793450648224093
1070.1832226154914730.3664452309829470.816777384508527
1080.1575618942060070.3151237884120130.842438105793993
1090.1305127828797660.2610255657595320.869487217120234
1100.1034040545497140.2068081090994270.896595945450286
1110.1140659171765480.2281318343530950.885934082823452
1120.09517534876196230.1903506975239250.904824651238038
1130.07564784857643050.1512956971528610.92435215142357
1140.0615319452603910.1230638905207820.938468054739609
1150.07835374394749960.1567074878949990.9216462560525
1160.07451786840304720.1490357368060940.925482131596953
1170.07939926266693480.1587985253338700.920600737333065
1180.1434018014541010.2868036029082020.856598198545899
1190.1571822144571630.3143644289143260.842817785542837
1200.1466741264916060.2933482529832120.853325873508394
1210.1149493596394280.2298987192788550.885050640360572
1220.1118482785773010.2236965571546020.888151721422699
1230.08357135592994720.1671427118598940.916428644070053
1240.05997627702987520.1199525540597500.940023722970125
1250.1003171815214630.2006343630429250.899682818478537
1260.3399179858773270.6798359717546550.660082014122673
1270.2643361499611240.5286722999222480.735663850038876
1280.2630356855935730.5260713711871460.736964314406427
1290.1972158229332360.3944316458664730.802784177066764
1300.1410662613859660.2821325227719330.858933738614034
1310.09277516789383450.1855503357876690.907224832106166
1320.1800048540999090.3600097081998180.819995145900091
1330.1525087805292390.3050175610584770.847491219470761
1340.08938023702765450.1787604740553090.910619762972345
1350.04421777176521220.08843554353042440.955782228234788


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