Multiple Linear Regression - Estimated Regression Equation
Popularity[t] = -5.63418426484257 + 9.18492464973122Gender[t] + 0.00230324704365767trend[t] -0.00927199770983318trend_G[t] -0.021567227584686Depression[t] -0.121606500243508Depression_G[t] + 0.0485298120141413Belonging[t] + 0.00509921018629681Belonging_G[t] + 0.0331300242551256WeightedPopularity[t] + 0.0446957854911477WeightedPopularity_G[t] + 0.17194203693447ParentalCriticism[t] -0.217763937453644ParentalCriticism_G[t] -0.00789804780864531Happiness[t] -0.189089829189876Happiness_G[t] + 0.259336367937663FindingFriends[t] -0.26414704323834FindingFriends_G[t] + 0.264170480731017KnowingPeople[t] -0.0601889711386115KnowingPeople_G[t] + 0.290831322282455Liked[t] + 0.0569803763954685Liked_G[t] + 0.527764692648576Celebrity[t] + 0.102234815794934Celebrity_G[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-5.634184264842574.276467-1.31750.1899240.094962
Gender9.184924649731225.4869191.6740.096470.048235
trend0.002303247043657670.0062020.37130.7109690.355485
trend_G-0.009271997709833180.008071-1.14880.2526730.126337
Depression-0.0215672275846860.118609-0.18180.8559870.427994
Depression_G-0.1216065002435080.145592-0.83530.4050610.20253
Belonging0.04852981201414130.0283171.71380.088880.04444
Belonging_G0.005099210186296810.0363790.14020.8887380.444369
WeightedPopularity0.03313002425512560.114090.29040.7719710.385986
WeightedPopularity_G0.04469578549114770.1355520.32970.7421180.371059
ParentalCriticism0.171942036934470.1133191.51730.1315410.065771
ParentalCriticism_G-0.2177639374536440.140323-1.55190.123050.061525
Happiness-0.007898047808645310.158552-0.04980.9603450.480173
Happiness_G-0.1890898291898760.195098-0.96920.3341890.167095
FindingFriends0.2593363679376630.1409091.84040.0679140.033957
FindingFriends_G-0.264147043238340.194901-1.35530.1776060.088803
KnowingPeople0.2641704807310170.1168162.26140.0253440.012672
KnowingPeople_G-0.06018897113861150.141009-0.42680.6701770.335089
Liked0.2908313222824550.1548271.87840.0624950.031247
Liked_G0.05698037639546850.2018860.28220.7781940.389097
Celebrity0.5277646926485760.315831.6710.0970470.048524
Celebrity_G0.1022348157949340.3692130.27690.7822840.391142


Multiple Linear Regression - Regression Statistics
Multiple R0.766689208812685
R-squared0.587812342909821
Adjusted R-squared0.523215769783749
F-TEST (value)9.09974499363288
F-TEST (DF numerator)21
F-TEST (DF denominator)134
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.02772835975805
Sum Squared Residuals550.965428329586


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11513.27599584005761.72400415994239
2128.13402622846363.8659737715364
31513.4159979469911.58400205300899
41211.05655395752850.943446042471506
51412.87501764941251.12498235058745
688.3344185878878-0.334418587887804
71112.4427990475475-1.44279904754751
8159.151708676702185.84829132329782
945.7672863660809-1.7672863660809
10139.927048303161183.07295169683882
111913.90136368033315.09863631966693
121011.3475549667814-1.34755496678145
131517.2263741718015-2.2263741718015
14611.7394270903916-5.73942709039158
15711.0683475853148-4.06834758531479
161412.52223865730941.47776134269056
171613.64910500316052.3508949968395
181614.54048456282611.45951543717389
191414.3706390177842-0.370639017784193
201514.16058423881270.839415761187271
211414.5657795741536-0.565779574153627
221210.70386593397221.29613406602777
2398.968057776659530.0319422233404681
241211.599308716090.400691283909992
251413.58320887963260.416791120367408
261212.049207024473-0.0492070244729714
271413.12464906801730.875350931982731
281010.4817468741181-0.48174687411809
291413.21029216911260.789707830887418
301616.1850785065891-0.18507850658912
31108.524827481346011.47517251865399
32811.076946131789-3.07694613178895
331212.2324256249959-0.232425624995913
341111.4025364911055-0.402536491105469
3589.33880514733481-1.33880514733481
361310.77898206833852.22101793166152
37119.673176263874851.32682373612515
38129.306717323377852.69328267662215
391614.18515037506031.81484962493974
401613.29743206950922.70256793049075
411313.7320598473499-0.732059847349922
421415.205770743808-1.20577074380801
4355.1726734230187-0.172673423018699
441412.68005732403571.31994267596432
45139.692678695843.30732130416
461616.1251462063081-0.125146206308122
471413.73285134654890.267148653451068
481513.4153591827151.58464081728496
491514.04702164640130.952978353598735
501112.412906753837-1.41290675383696
511513.69414358706771.30585641293226
521612.97255357854333.02744642145668
531313.8991898151183-0.899189815118311
541112.9853242743521-1.9853242743521
551213.0993986337065-1.09939863370649
561212.0530060783113-0.0530060783113362
571013.3566978555583-3.35669785555826
5888.18084659772967-0.180846597729668
5998.971670094894990.028329905105006
601212.5500878077745-0.550087807774467
611413.49673698727890.503263012721092
621213.6961549656755-1.69615496567551
631110.17804486766030.821955132339716
641413.42910144355790.570898556442102
65711.2839993319433-4.2839993319433
661613.53128330422772.46871669577234
671615.40725531423320.592744685766771
681113.1124261135569-2.11242611355686
691617.2106617492342-1.21066174923418
701314.0959265231572-1.09592652315721
711110.99587161578840.00412838421159362
721313.3293650328085-0.329365032808534
731414.2992369840814-0.299236984081361
741512.57592059782442.42407940217559
75107.971171453030422.02882854696958
761515.6495348865898-0.64953488658979
771112.4122609001172-1.41226090011715
781112.1728912222776-1.17289122227761
7968.81330165247662-2.81330165247662
801110.14991092717260.850089072827393
811211.33744579831460.662554201685405
821313.1995960719836-0.199596071983587
831213.2376046495221-1.2376046495221
84810.7600459564978-2.76004595649785
85910.8836766200139-1.88367662001395
861011.3673566473549-1.3673566473549
871612.79664344426453.20335655573546
881513.05257621168541.94742378831456
891413.62938469771370.370615302286297
901213.6743621358241-1.67436213582408
911211.00255604191540.997443958084582
92109.58012809561230.419871904387699
931211.33053621889980.669463781100173
9489.40430226823121-1.40430226823121
951614.51960258001841.4803974199816
96118.833181312902522.16681868709748
971211.60957602877160.390423971228418
98910.9813752972926-1.98137529729258
991411.60991700679862.39008299320144
1001513.83210255682941.16789744317058
101810.2714766374347-2.27147663743473
1021212.8573957465154-0.857395746515445
103109.856338958136150.143661041863849
1041615.24650386141270.753496138587303
1051715.34049281393711.65950718606293
10689.60384738462476-1.60384738462476
107911.879064375873-2.87906437587303
108811.9421186017172-3.94211860171718
1091112.0563998316784-1.0563998316784
1101615.61090047397340.389099526026618
1111313.5241728208553-0.524172820855276
11257.81356877600441-2.81356877600441
1131513.43544510058121.56455489941884
1141514.47335617705630.526643822943703
1151211.20369388877110.796306111228928
1161211.56646720154030.433532798459679
1171616.827024206619-0.827024206618975
1181212.9670128268691-0.967012826869131
1191011.8629947303403-1.8629947303403
1201210.68714457279761.31285542720237
12145.91082913335389-1.91082913335389
1221112.2307507294481-1.23075072944806
1231614.06387667201161.93612332798838
12478.50716619499291-1.50716619499291
125911.0016637639058-2.00166376390576
1261411.33819868079592.66180131920409
1271110.51050140705310.489498592946897
1281011.9828216254215-1.98282162542155
12968.27209422333465-2.27209422333465
1301413.5740969060460.425903093953981
1311112.1653679336672-1.16536793366721
132119.63737371699211.36262628300789
133913.5657248941332-4.56572489413315
1341611.89224890624654.10775109375348
13578.01417690154054-1.01417690154054
13688.59924945771092-0.599249457710921
137109.830990908800230.16900909119977
1381411.97908279706252.02091720293752
13999.76422983745289-0.76422983745289
1401312.86394346250530.136056537494721
141139.219601940438383.78039805956162
1421211.97841528906460.0215847109353778
1431111.8441408302318-0.844140830231831
1441015.1108902374318-5.11089023743181
1451212.5312725440459-0.531272544045935
1461414.2637820424306-0.263782042430586
1471112.0116907117981-1.01169071179814
1481311.44325334258891.5567466574111
1491413.21630535844430.783694641555702
1501313.1129526357795-0.112952635779527
1511616.2346039333436-0.234603933343586
1521312.89401007513320.105989924866784
1531212.1657475669748-0.165747566974779
15499.73805271087334-0.738052710873337
1551412.40763852227261.59236147772737
1561514.47020103598030.529798964019667


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
250.6213374543913440.7573250912173110.378662545608656
260.8270474617181650.345905076563670.172952538281835
270.7976678788448580.4046642423102840.202332121155142
280.7425207442917120.5149585114165770.257479255708288
290.6474001980290260.7051996039419480.352599801970974
300.5549261534585070.8901476930829860.445073846541493
310.5086389173569650.982722165286070.491361082643035
320.8321708604147290.3356582791705420.167829139585271
330.7816416640743860.4367166718512280.218358335925614
340.7253754721985110.5492490556029780.274624527801489
350.832129436296850.3357411274063010.16787056370315
360.8411048655484230.3177902689031550.158895134451577
370.8212606783845570.3574786432308860.178739321615443
380.7992705608707010.4014588782585980.200729439129299
390.7546185387697440.4907629224605130.245381461230256
400.7457054480797670.5085891038404650.254294551920233
410.6964130887952980.6071738224094040.303586911204702
420.6736986717346630.6526026565306750.326301328265337
430.6103490457957910.7793019084084170.389650954204209
440.5700899106066870.8598201787866260.429910089393313
450.8303469571695210.3393060856609590.169653042830479
460.7976899693079220.4046200613841560.202310030692078
470.8074939790526880.3850120418946240.192506020947312
480.7735312054951040.4529375890097920.226468794504896
490.7307089488693920.5385821022612170.269291051130608
500.7053799382972980.5892401234054040.294620061702702
510.7945079865160160.4109840269679690.205492013483984
520.817871031007390.364257937985220.18212896899261
530.786953736032750.4260925279344990.21304626396725
540.8842150651150590.2315698697698820.115784934884941
550.8690610135951330.2618779728097350.130938986404867
560.8608851794536130.2782296410927740.139114820546387
570.9169188488480880.1661623023038240.0830811511519119
580.8982418145678680.2035163708642640.101758185432132
590.8716523746179980.2566952507640030.128347625382002
600.8459541257440720.3080917485118570.154045874255928
610.8122209346284960.3755581307430070.187779065371504
620.8361622524889110.3276754950221780.163837747511089
630.8186270634444730.3627458731110530.181372936555527
640.8390479400578570.3219041198842850.160952059942143
650.9430807718787790.1138384562424430.0569192281212213
660.9454604820011390.1090790359977230.0545395179988613
670.9293842239082220.1412315521835550.0706157760917776
680.92374683557780.15250632884440.0762531644221998
690.9082550116928810.1834899766142380.0917449883071189
700.8923171844151880.2153656311696230.107682815584812
710.8714119244393870.2571761511212260.128588075560613
720.8426131930498660.3147736139002690.157386806950134
730.8231061931441370.3537876137117270.176893806855863
740.8411035406356820.3177929187286360.158896459364318
750.8272168375915670.3455663248168650.172783162408432
760.799406385976240.401187228047520.20059361402376
770.8690054868784940.2619890262430120.130994513121506
780.8468581352941780.3062837294116440.153141864705822
790.8718763847154820.2562472305690360.128123615284518
800.8497539346186610.3004921307626790.150246065381339
810.8198463359533160.3603073280933680.180153664046684
820.7847397271511150.430520545697770.215260272848885
830.753670100265570.4926597994688610.24632989973443
840.7695118579113480.4609762841773030.230488142088652
850.766153509861360.467692980277280.23384649013864
860.746907189496880.506185621006240.25309281050312
870.7734587356049010.4530825287901980.226541264395099
880.7669595735766450.4660808528467090.233040426423355
890.7261015590917640.5477968818164720.273898440908236
900.7069090582458150.586181883508370.293090941754185
910.6845335506715850.630932898656830.315466449328415
920.6399408258246540.7201183483506930.360059174175346
930.5917436005826090.8165127988347820.408256399417391
940.5843829825706650.8312340348586690.415617017429334
950.557509188744010.8849816225119790.442490811255989
960.6727847073458960.6544305853082090.327215292654104
970.6258641346454250.748271730709150.374135865354575
980.6084241264339190.7831517471321610.391575873566081
990.7166190467222650.5667619065554710.283380953277735
1000.7364828068903510.5270343862192980.263517193109649
1010.7337693227245340.5324613545509320.266230677275466
1020.6902882598478920.6194234803042170.309711740152108
1030.6384511092494610.7230977815010780.361548890750539
1040.5964722435297680.8070555129404640.403527756470232
1050.5639283259694560.8721433480610890.436071674030544
1060.5937397495739550.8125205008520890.406260250426045
1070.5707165957640320.8585668084719360.429283404235968
1080.7864741080937640.4270517838124720.213525891906236
1090.7566370374773890.4867259250452220.243362962522611
1100.7035755482192020.5928489035615960.296424451780798
1110.6603686604056940.6792626791886120.339631339594306
1120.7063897996248070.5872204007503850.293610200375193
1130.6803383102672570.6393233794654860.319661689732743
1140.644593603665850.71081279266830.35540639633415
1150.5800631268102040.8398737463795920.419936873189796
1160.6824734578430850.6350530843138310.317526542156915
1170.6165275930966310.7669448138067370.383472406903369
1180.5483201744591550.9033596510816910.451679825540845
1190.6224107693757050.7551784612485890.377589230624294
1200.5885216222536580.8229567554926840.411478377746342
1210.5561395283757850.8877209432484310.443860471624215
1220.5154939515005830.9690120969988330.484506048499417
1230.4560980636263990.9121961272527980.543901936373601
1240.386965643346810.773931286693620.61303435665319
1250.3695360667810910.7390721335621810.630463933218909
1260.9764545335732830.04709093285343320.0235454664267166
1270.9536946975398980.09261060492020330.0463053024601016
1280.973894074538410.05221185092317940.0261059254615897
1290.9485499973635880.1029000052728240.0514500026364122
1300.9837063896171590.03258722076568150.0162936103828408
1310.991980726290930.016038547418140.00801927370907001


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.0280373831775701OK
10% type I error level50.0467289719626168OK