Multiple Linear Regression - Estimated Regression Equation
gender[t] = + 1.08151766603924 -0.00662196627596676CoM[t] -0.00894811157503866PersSt[t] + 0.027465763686152Popularity[t] -0.0223949691901545FindFrie[t] -0.0158619397694246`Liked `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.081517666039240.3958712.7320.0070510.003526
CoM-0.006621966275966760.007674-0.86290.3895520.194776
PersSt-0.008948111575038660.010337-0.86570.3880580.194029
Popularity0.0274657636861520.0161521.70050.0911150.045558
FindFrie-0.02239496919015450.022279-1.00520.316420.15821
`Liked `-0.01586193976942460.021843-0.72620.4688620.234431


Multiple Linear Regression - Regression Statistics
Multiple R0.210758878378947
R-squared0.0444193048155517
Adjusted R-squared0.0125666149760699
F-TEST (value)1.39452288140808
F-TEST (DF numerator)5
F-TEST (DF denominator)150
p-value0.22948484947114
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.48499470453812
Sum Squared Residuals35.2829795145027


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.5675509090605560.432449090939444
210.5469100367135530.453089963286447
310.6347466191765850.365253380823415
400.72999931743544-0.72999931743544
510.641690425917290.35830957408271
610.6492140076917940.350785992308206
710.5607124911145650.439287508885435
810.5737305448277240.426269455172276
910.6489867534762050.351013246523795
1010.8060300237539150.193969976246085
1100.727279719591223-0.727279719591223
1210.5558850508672240.444114949132776
1300.786151224803333-0.786151224803333
1410.5075399877790240.492460012220976
1510.5587702205568370.441229779443163
1600.61935749100374-0.61935749100374
1700.561172648939656-0.561172648939656
1810.741299604052830.258700395947170
1900.637775403714051-0.637775403714051
2010.5039786055805390.496021394419461
2100.591281471196008-0.591281471196008
2210.5961731672397680.403826832760232
2310.6696015960799280.330398403920072
2410.6015388996218720.398461100378128
2500.68631391961685-0.68631391961685
2610.6816103972876680.318389602712332
2700.488293666686236-0.488293666686236
2810.7282702719449970.271729728055003
2910.6545127786036830.345487221396317
3000.720731216621586-0.720731216621586
3110.7050974039031030.294902596096897
3200.582751863518823-0.582751863518823
3310.5277032719708860.472296728029114
3410.5463873687627480.453612631237252
3500.54921235540168-0.54921235540168
3600.565297970877544-0.565297970877544
3700.435366092241853-0.435366092241853
3800.81844960228163-0.81844960228163
3910.5235726709329760.476427329067024
4000.595789795039887-0.595789795039887
4100.566405587406951-0.566405587406951
4210.7480820137092220.251917986290778
4300.448109714366642-0.448109714366642
4400.528279621136258-0.528279621136258
4510.5818629017917750.418137098208225
4610.7742663415137520.225733658486248
4710.7865184969701470.213481503029853
4810.3610250256987510.638974974301249
4910.4604198497413840.539580150258616
5000.540033913643364-0.540033913643364
5110.5032527662153590.496747233784641
5200.563170451937875-0.563170451937875
5300.608898486199155-0.608898486199155
5410.6192356255828660.380764374417134
5500.514840138192609-0.514840138192609
5610.5716311512027790.428368848797221
5710.613408907620150.386591092379849
5810.7382960215031230.261703978496877
5900.540647967932934-0.540647967932934
6010.7912492737843740.208750726215626
6100.48736699983499-0.48736699983499
6200.676347128367642-0.676347128367642
6310.7335683206565840.266431679343416
6410.7027460566162720.297253943383728
6510.7005777565847180.299422243415282
6600.521665029531758-0.521665029531758
6710.5224187498661410.477581250133859
6800.612073314674852-0.612073314674852
6910.7889474576377090.211052542362291
7000.46986510206541-0.46986510206541
7100.676576956009456-0.676576956009456
7210.649900044355660.35009995564434
7310.474971247918220.52502875208178
7400.58177468713684-0.58177468713684
7500.585078008817895-0.585078008817895
7610.604894527140680.395105472859320
7710.6556330489045790.344366951095421
7810.6898221133031540.310177886696846
7900.64360764512231-0.64360764512231
8000.393973435307590-0.393973435307590
8100.438687090604151-0.438687090604151
8210.8700119755282850.129988024471715
8300.656827248521837-0.656827248521837
8410.5857402188708160.414259781129184
8510.6571703421712950.342829657828705
8600.611605430271883-0.611605430271883
8710.5520332876823530.447966712317647
8810.7112768890352210.288723110964779
8910.6096820591314880.390317940868512
9010.6415521085569380.358447891443062
9110.641613640292080.35838635970792
9210.6356677625822880.364332237417712
9310.7403698612338970.259630138766103
9410.7208074997053340.279192500294666
9510.6606911896290870.339308810370913
9610.4213338101990270.578666189800973
9710.5450824765640710.454917523435929
9800.471542413283351-0.471542413283351
9900.679668848930241-0.679668848930241
10010.6568784802528760.343121519747124
10100.662722397042052-0.662722397042052
10210.7449575441292110.255042455870789
10300.555592316113452-0.555592316113452
10410.6463804216396320.353619578360368
10500.477544175340046-0.477544175340046
10610.6034456681877380.396554331812262
10700.598427330164544-0.598427330164544
10800.652823289463361-0.652823289463361
10910.4928193153049450.507180684695055
11010.6597547943389890.340245205661011
11110.7262650942753120.273734905724688
11210.6792607956715410.320739204328459
11310.5548802497063070.445119750293693
11400.480636568796621-0.480636568796621
11510.6518805225790480.348119477420952
11610.7586962636627460.241303736337254
11710.6806429493445370.319357050655463
11810.5695747418020540.430425258197946
11900.612823959041548-0.612823959041548
12010.7805856433257340.219414356674266
12110.5114740600346470.488525939965353
12210.784524994681380.215475005318620
12310.4951697897564240.504830210243576
12410.6470791120749870.352920887925013
12500.734331618794769-0.734331618794769
12610.5999503746241170.400049625375883
12710.7022512696346710.297748730365329
12810.5889679796684250.411032020331575
12900.675308420250516-0.675308420250516
13000.497597420127003-0.497597420127003
13110.6380012825528260.361998717447174
13200.791832997621212-0.791832997621212
13300.515264643390786-0.515264643390786
13410.6424914291796730.357508570820327
13500.720466257281799-0.720466257281799
13600.531339958862547-0.531339958862547
13710.7084170268885860.291582973111414
13810.5075893682841390.492410631715861
13900.796214679485656-0.796214679485656
14010.6225482688774540.377451731122546
14100.554091397673951-0.554091397673951
14210.4896115829502920.510388417049708
14300.624135921039856-0.624135921039856
14410.6551508101392470.344849189860753
14510.5912941249674970.408705875032503
14600.42519945189715-0.42519945189715
14700.381453244543720-0.381453244543720
14800.461971999911925-0.461971999911925
14910.829659727302020.170340272697980
15010.6896556686224050.310344331377595
15100.620932489394654-0.620932489394654
15210.5982694848970250.401730515102975
15310.3808916467269530.619108353273047
15410.6884621912054490.311537808794551
15510.6821564160003080.317843583999692
15610.6601074657922490.339892534207751


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.2693441198968370.5386882397936730.730655880103163
100.4014817000126370.8029634000252750.598518299987363
110.2815724641029140.5631449282058280.718427535897086
120.2030884887743190.4061769775486370.796911511225681
130.1945374100426270.3890748200852540.805462589957373
140.1275644349698830.2551288699397660.872435565030117
150.0903318775574980.1806637551149960.909668122442502
160.4511026365342220.9022052730684440.548897363465778
170.6513025329803790.6973949340392420.348697467019621
180.6164312333822050.767137533235590.383568766617795
190.6282835927424340.7434328145151330.371716407257567
200.5756730377126680.8486539245746630.424326962287332
210.6457351444651540.7085297110696920.354264855534846
220.601325966870150.79734806625970.39867403312985
230.5931719579010730.8136560841978540.406828042098927
240.5479522423778930.9040955152442150.452047757622107
250.6029896486300810.7940207027398380.397010351369919
260.5599827080032520.8800345839934970.440017291996748
270.6759198548665950.648160290266810.324080145133405
280.6536867397872630.6926265204254730.346313260212737
290.621628741866150.75674251626770.37837125813385
300.6693606320920610.6612787358158780.330639367907939
310.6593071777059080.6813856445881840.340692822294092
320.7043964517419160.5912070965161690.295603548258084
330.6710495610228120.6579008779543760.328950438977188
340.6439034908750720.7121930182498560.356096509124928
350.6721956269967520.6556087460064960.327804373003248
360.7291067541045820.5417864917908370.270893245895418
370.7557493769874440.4885012460251120.244250623012556
380.7875364356251110.4249271287497780.212463564374889
390.7737250081289870.4525499837420250.226274991871012
400.7898618658933060.4202762682133890.210138134106694
410.8030435870189170.3939128259621660.196956412981083
420.7977147460958720.4045705078082570.202285253904128
430.8092657683896230.3814684632207530.190734231610377
440.8107266609642440.3785466780715110.189273339035756
450.8019517104109650.396096579178070.198048289589035
460.7775122058109990.4449755883780020.222487794189001
470.7461982803711630.5076034392576740.253801719628837
480.752453014538010.4950939709239790.247546985461989
490.7520595531435480.4958808937129030.247940446856452
500.7626453474759860.4747093050480270.237354652524014
510.7578905115264140.4842189769471710.242109488473586
520.7626103579589580.4747792840820830.237389642041042
530.7777472315634320.4445055368731360.222252768436568
540.7748943412032440.4502113175935130.225105658796756
550.7872601668685250.425479666262950.212739833131475
560.7767508499584690.4464983000830630.223249150041531
570.7639348551539710.4721302896920570.236065144846029
580.7420129488874430.5159741022251140.257987051112557
590.7454186670567030.5091626658865950.254581332943297
600.7167971853846980.5664056292306030.283202814615302
610.7150826972176860.5698346055646290.284917302782314
620.749185623370090.5016287532598210.250814376629911
630.7240181979325670.5519636041348650.275981802067433
640.6996330928238950.6007338143522110.300366907176105
650.6808434331389980.6383131337220030.319156566861002
660.6877603427896260.6244793144207490.312239657210374
670.6853354730243360.6293290539513290.314664526975664
680.7092096203721030.5815807592557940.290790379627897
690.678376191720750.64324761655850.32162380827925
700.6801777798204180.6396444403591650.319822220179582
710.7168598543630990.5662802912738020.283140145636901
720.6958233869076080.6083532261847840.304176613092392
730.7021008712480710.5957982575038580.297899128751929
740.7173259174719520.5653481650560970.282674082528048
750.736334572761440.527330854477120.26366542723856
760.7234833456146070.5530333087707860.276516654385393
770.70116323132650.5976735373469990.298836768673500
780.6749054366892880.6501891266214240.325094563310712
790.7088359710482640.5823280579034730.291164028951736
800.6936743018119220.6126513963761560.306325698188078
810.689205410165960.621589179668080.31079458983404
820.6494447483635070.7011105032729870.350555251636493
830.683339807899510.633320384200980.31666019210049
840.6664115467770120.6671769064459760.333588453222988
850.6451110262224060.7097779475551880.354888973777594
860.6690896275718910.6618207448562170.330910372428109
870.6545416030532210.6909167938935590.345458396946779
880.6220490244603720.7559019510792560.377950975539628
890.6055858175950090.7888283648099830.394414182404991
900.5813894152460390.8372211695079220.418610584753961
910.5665242311933130.8669515376133730.433475768806687
920.5380818799424040.9238362401151930.461918120057596
930.503768405117880.992463189764240.49623159488212
940.4697086492801650.939417298560330.530291350719835
950.4406542148926850.881308429785370.559345785107315
960.4566198553750230.9132397107500460.543380144624977
970.4550789952430630.9101579904861270.544921004756937
980.4513085338208530.9026170676417070.548691466179147
990.4955108055617540.9910216111235090.504489194438246
1000.4727103203916630.9454206407833270.527289679608337
1010.5077919315699470.9844161368601060.492208068430053
1020.4697538653087930.9395077306175850.530246134691207
1030.482560139246440.965120278492880.51743986075356
1040.4524526075166010.9049052150332030.547547392483399
1050.4664977302223330.9329954604446650.533502269777667
1060.4578511639164540.9157023278329080.542148836083546
1070.5035198082932170.9929603834135670.496480191706783
1080.5373793808479810.9252412383040380.462620619152019
1090.5225924453759670.9548151092480660.477407554624033
1100.4805942903818740.9611885807637480.519405709618126
1110.4352981554529410.8705963109058830.564701844547059
1120.4136941127451100.8273882254902210.58630588725489
1130.3943692875189010.7887385750378030.605630712481099
1140.4072167290216890.8144334580433770.592783270978311
1150.3649468580711380.7298937161422760.635053141928862
1160.324184064199370.648368128398740.67581593580063
1170.2923346697826950.5846693395653890.707665330217305
1180.2717406935113280.5434813870226560.728259306488672
1190.2878770757196860.5757541514393710.712122924280314
1200.2613345134950970.5226690269901930.738665486504903
1210.2578776329725590.5157552659451190.74212236702744
1220.2238361260218640.4476722520437280.776163873978136
1230.2135833826511050.427166765302210.786416617348895
1240.1916306815905250.3832613631810490.808369318409475
1250.2243731845958410.4487463691916820.775626815404159
1260.2097781698627930.4195563397255870.790221830137207
1270.1826602073890460.3653204147780930.817339792610954
1280.1725834199811150.3451668399622310.827416580018885
1290.2259309942677030.4518619885354060.774069005732297
1300.2877933332405050.5755866664810090.712206666759495
1310.2898542962027970.5797085924055940.710145703797203
1320.3790585046078660.7581170092157330.620941495392134
1330.4136650635689390.8273301271378780.586334936431061
1340.4257399168634690.8514798337269370.574260083136531
1350.4524950473766410.9049900947532810.547504952623359
1360.4492928804259790.8985857608519570.550707119574021
1370.3841028269697230.7682056539394450.615897173030277
1380.3658768959065590.7317537918131180.634123104093441
1390.4826969709117810.9653939418235610.517303029088219
1400.4188888841059430.8377777682118850.581111115894057
1410.589722195540180.8205556089196390.410277804459820
1420.5663211210422140.8673577579155720.433678878957786
1430.7178289094770040.5643421810459910.282171090522996
1440.6066679801308460.7866640397383080.393332019869154
1450.6238476318125560.7523047363748870.376152368187444
1460.5428773409335630.9142453181328730.457122659066437
1470.513409335675710.973181328648580.48659066432429


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