Multiple Linear Regression - Estimated Regression Equation
Celebrity[t] = + 0.14910336567032 -0.191454250730584Gender[t] + 0.143311716917591Popularity[t] -0.018666060010054FindingFriends[t] + 0.124670081000215KnowingPeople[t] + 0.168144777231389Liked[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.149103365670320.8151070.18290.8551940.427597
Gender-0.1914542507305840.19316-0.99120.3237780.161889
Popularity0.1433117169175910.0420853.40530.0009240.000462
FindingFriends-0.0186660600100540.049828-0.37460.7086710.354336
KnowingPeople0.1246700810002150.034523.61150.000460.00023
Liked0.1681447772313890.0578122.90850.0043950.002197


Multiple Linear Regression - Regression Statistics
Multiple R0.717481957162345
R-squared0.514780358853509
Adjusted R-squared0.492724920619577
F-TEST (value)23.3402915595456
F-TEST (DF numerator)5
F-TEST (DF denominator)110
p-value6.66133814775094e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.01137430658735
Sum Squared Residuals112.516578682754


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
135.70076014347937-2.70076014347937
254.828094000570540.171905999429456
366.10702167630787-0.107021676307870
464.399823071638521.60017692836148
554.300399043562540.699600956437462
634.34382489160836-1.34382489160836
787.077447625471930.92255237452807
844.24442528762505-0.244425287625055
945.74425926380323-1.74425926380322
1043.874859372787290.12514062721271
1165.789495878225860.210504121774141
1264.890647749422211.10935225057779
1355.93776630487231-0.937766304872315
1444.21328459200137-0.21328459200137
1564.522780082632631.47721991736737
1644.78038888346067-0.780388883460668
1764.555881781774041.44411821822596
1866.51050839311145-0.510508393111455
1943.762887436819640.237112563180356
2043.849934525652710.150065474347294
2124.6161103826829-2.6161103826829
2276.361005251797440.638994748202559
2355.07170457897035-0.0717045789703467
2444.36713436510755-0.367134365107550
2565.795953750676650.204046249323351
2666.71170602129889-0.711706021298892
2775.625805031292111.37419496870789
2855.77078097003045-0.770780970030448
2965.752114910020390.247885089979606
3045.37803139474171-1.37803139474171
3143.976559700620710.0234402993792867
3275.613446606591941.38655339340806
3376.007573224139210.992426775860788
3444.56799227296259-0.567992272962586
3544.43587953835564-0.435879538355639
3666.75365713071546-0.753657130715463
3765.222269466303170.77773053369683
3853.962221757860081.03777824213992
3965.54663801276890.453361987231103
4076.730347657216270.269652342783732
4165.546613588676220.453386411323782
4234.41227328315947-1.41227328315947
4333.40931477415527-0.409314774155273
4444.35470857767928-0.354708577679276
4564.535303566431621.46469643356838
4676.020047859752840.979952140247157
4756.41269973867086-1.41269973867087
4843.060642370899650.93935762910035
4954.72405098309810.275949016901897
5066.28174644645344-0.281746446453441
5163.976006073004132.02399392699587
5264.560622891633891.43937710836611
5355.30346485107221-0.303464851072211
5444.0633928821696-0.0633928821695968
5555.52794752866616-0.527947528666164
5655.40332629585131-0.403326295851306
5745.07131601045259-1.07131601045259
5866.95913402796696-0.95913402796696
5924.66768865864286-2.66768865864286
6086.485675332797661.51432466720234
6133.75193638802062-0.751936388020617
6266.56684629347402-0.566846293474019
6366.18248747747628-0.182487477476283
6466.31286271798445-0.312862717984448
6553.845217839885531.15478216011447
6655.7380678394068-0.738067839406802
6765.197873822692490.802126177307513
6854.487136608525950.512863391474053
6965.689925305593810.310074694406190
7021.943741320275320.0562586797246752
7155.83326144660408-0.833261446604079
7255.59475612248921-0.594756122489211
7355.24560336389504-0.245603363895042
7466.02592398790954-0.0259239879095420
7565.364106444591510.635893555408486
7665.700784567572050.299215432427948
7755.38930364933039-0.389303649330393
7855.33465439488125-0.334654394881253
7945.09140796090653-1.09140796090653
8023.19113973187121-1.19113973187121
8143.818720557750990.181279442249015
8265.681919422235740.318080577764263
8366.26116823111102-0.261168231111024
8454.593213901794140.406786098205857
8534.4292506972561-1.4292506972561
8665.139963487329960.860036512670038
8743.912390578133660.0876094218663422
8855.44026984735365-0.440269847353655
8986.312862717984451.68713728201555
9044.51666193051424-0.516661930514242
9165.69570373737980.304296262620206
9265.519776586209270.480223413790729
9376.711681597206210.288318402793786
9466.29272191934515-0.292721919345147
9554.861171275619270.138828724380729
9644.20518101227258-0.205181012272584
9763.849497108949592.15050289105041
9833.41562240946516-0.41562240946516
9955.65230231342666-0.652302313426656
10065.345415960488780.654584039511219
10176.855017738216480.144982261783517
10276.610320989705190.389679010294807
10366.84868567881392-0.848685678813918
10434.34810416067242-1.34810416067242
10522.52436347882431-0.524363478824312
10685.658371617359692.34162838264031
10734.61804696210794-1.61804696210794
10886.342363615880061.65763638411993
10934.70966419215211-1.70966419215211
11044.61768281768286-0.61768281768286
11155.19748525417473-0.197485254174728
11275.583994556881681.41600544311832
11364.368657951922151.63134204807785
11465.8829031431390.117096856861003
11576.069689556287760.930310443712238
11666.14471794075306-0.144717940753059


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.7507541367589330.4984917264821330.249245863241067
100.6200960736680.7598078526640.379903926332
110.721694803208330.5566103935833390.278305196791669
120.834973444615230.3300531107695420.165026555384771
130.926227713135150.1475445737297010.0737722868648506
140.8845964264822310.2308071470355380.115403573517769
150.888311122879070.2233777542418580.111688877120929
160.8453194419877040.3093611160245910.154680558012296
170.8857145358235580.2285709283528830.114285464176442
180.845630317460480.3087393650790390.154369682539520
190.79264640402520.4147071919495990.207353595974800
200.763188403599580.4736231928008390.236811596400420
210.9726578899392670.05468422012146580.0273421100607329
220.9704228172485680.05915436550286320.0295771827514316
230.9606741644035170.07865167119296540.0393258355964827
240.9444453522485330.1111092955029340.0555546477514668
250.9240473802039220.1519052395921550.0759526197960777
260.9065411149119150.1869177701761690.0934588850880845
270.919360633482360.1612787330352790.0806393665176393
280.904475177175120.1910496456497590.0955248228248794
290.8763804732413510.2472390535172980.123619526758649
300.8824561608367490.2350876783265020.117543839163251
310.8563121782049980.2873756435900030.143687821795002
320.886488122582370.2270237548352610.113511877417631
330.8871073888731180.2257852222537640.112892611126882
340.8680017136315640.2639965727368710.131998286368436
350.8409244418025180.3181511163949630.159075558197482
360.8134505653592840.3730988692814320.186549434640716
370.7891316145615820.4217367708768370.210868385438418
380.790666453371510.418667093256980.20933354662849
390.7566360260609110.4867279478781780.243363973939089
400.7157310827374750.5685378345250490.284268917262525
410.6781137410170660.6437725179658680.321886258982934
420.7106304196453210.5787391607093580.289369580354679
430.6886508753396060.6226982493207870.311349124660394
440.6459229254364860.7081541491270280.354077074563514
450.6989114892950410.6021770214099170.301088510704959
460.70040712937860.59918574124280.2995928706214
470.7361847024892120.5276305950215770.263815297510788
480.727026717063430.5459465658731410.272973282936571
490.6829412178412190.6341175643175620.317058782158781
500.6346392750631010.7307214498737980.365360724936899
510.7525352990303880.4949294019392240.247464700969612
520.8046682862093090.3906634275813820.195331713790691
530.7684563051403870.4630873897192260.231543694859613
540.7335815684917690.5328368630164620.266418431508231
550.6982884323977860.6034231352044280.301711567602214
560.6548297511083880.6903404977832230.345170248891612
570.6606587658322560.6786824683354880.339341234167744
580.6599669738039260.6800660523921470.340033026196074
590.8893559614219880.2212880771560250.110644038578012
600.9187727597097220.1624544805805560.081227240290278
610.907054161238560.1858916775228800.0929458387614402
620.8916170026098630.2167659947802750.108382997390138
630.8646555495371220.2706889009257560.135344450462878
640.8406419152529990.3187161694940030.159358084747001
650.8499478397236580.3001043205526840.150052160276342
660.8392338259841090.3215323480317820.160766174015891
670.8299470012104820.3401059975790350.170052998789518
680.7986529584510850.402694083097830.201347041548915
690.7594257850172520.4811484299654960.240574214982748
700.7284649801885740.5430700396228530.271535019811426
710.7243660893944570.5512678212110850.275633910605543
720.6958332393535450.608333521292910.304166760646455
730.6459362423376710.7081275153246580.354063757662329
740.590058763351540.819882473296920.40994123664846
750.5509484018957920.8981031962084150.449051598104208
760.497899088008780.995798176017560.50210091199122
770.4455774941232470.8911549882464950.554422505876753
780.3962463577278270.7924927154556550.603753642272173
790.4427468043695750.885493608739150.557253195630425
800.4402574322825320.8805148645650650.559742567717468
810.3961092509614980.7922185019229960.603890749038502
820.3396243502546550.679248700509310.660375649745345
830.2932508966030890.5865017932061770.706749103396912
840.2510565762143050.5021131524286110.748943423785695
850.4327890933424240.8655781866848480.567210906657576
860.4143568408646010.8287136817292010.5856431591354
870.3538481829818170.7076963659636340.646151817018183
880.3369523915363920.6739047830727840.663047608463608
890.359469310542030.718938621084060.64053068945797
900.3092330467095590.6184660934191190.690766953290441
910.2707855911439050.541571182287810.729214408856095
920.2804219371957490.5608438743914990.719578062804251
930.2254665828850490.4509331657700970.774533417114951
940.1834219693945060.3668439387890130.816578030605493
950.1387938633667310.2775877267334620.861206136633269
960.1011726296920490.2023452593840980.898827370307951
970.2295322537154930.4590645074309870.770467746284507
980.1831652769394280.3663305538788570.816834723060572
990.1365949769916050.2731899539832090.863405023008396
1000.1008073988818430.2016147977636870.899192601118157
1010.07446361201105350.1489272240221070.925536387988947
1020.04718898901846880.09437797803693770.952811010981531
1030.05761391192241710.1152278238448340.942386088077583
1040.096743806578750.19348761315750.90325619342125
1050.06284029118014440.1256805823602890.937159708819856
1060.1078181238222670.2156362476445340.892181876177733
1070.08049952857749890.1609990571549980.919500471422501


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 level40.0404040404040404OK