Multiple Linear Regression - Estimated Regression Equation
Popularity[t] = + 1.59055007677943 + 0.142714990424374`Pop*geslacht`[t] + 0.213531241972043KnowingPeople[t] + 0.25873921064204Liked[t] + 0.591645271703441Celebrity[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.590550076779431.115611.42570.1564210.078211
`Pop*geslacht`0.1427149904243740.0330254.32153.1e-051.6e-05
KnowingPeople0.2135312419720430.063963.33850.0011080.000554
Liked0.258739210642040.0996372.59680.0105280.005264
Celebrity0.5916452717034410.1539453.84320.0001929.6e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.730462854365973
R-squared0.533575981608485
Adjusted R-squared0.518768869913516
F-TEST (value)36.035115598526
F-TEST (DF numerator)4
F-TEST (DF denominator)126
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.92784466060862
Sum Squared Residuals468.289714465082


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11311.57382789336161.42617210663836
2129.62063610941952.3793638905805
31511.84262398093723.15737601906279
41211.45259081360130.547409186398668
51010.9573700763232-0.957370076323233
6129.6776549984912.32234500150900
71514.39751791351640.602482086483648
899.1521061423481-0.152106142348093
91212.2814973852828-0.281497385282823
10117.56697151120383.4330284887962
111112.1792705275413-1.17927052754131
121110.59413589639700.405864103602983
131512.95213248027742.04786751972265
14710.6233815279328-3.62338152793279
151111.568615033819-0.568615033818996
16119.579168626292181.42083137370782
171012.0212858006408-2.02128580064075
181412.48321770685331.51678229314665
19109.207652657419580.79234734258042
2069.58133360095025-3.58133360095025
21119.202033947005231.79796605299477
221514.74331738230830.256682617691691
231111.9090020659658-0.909002065965774
241413.70500994086850.294990059131544
25912.8161237679147-3.81612376791475
261313.0158576474106-0.0158576474106384
271611.57116989514814.42883010485194
28139.59058966002273.4094103399773
291212.0851141046586-0.085114104658626
301412.60259252594271.39740747405729
311110.59885573238420.401144267615845
32910.4365410561675-1.43654105616746
331614.72144958497331.27855041502667
341212.8694021714436-0.869402171443577
35108.585679266851331.41432073314867
361313.3487637084720-0.34876370847204
371615.57183406731880.428165932681193
381413.27794745692440.722052543075628
39159.4199982751785.580001724822
4058.17860635537057-3.17860635537056
41810.3390340344131-2.33903403441308
421111.523407065149-0.523407065148999
431614.41376192011861.5862380798814
441713.80024885108023.19975114891982
4598.592667214381120.407332785618876
46911.7591959911270-2.75919599112702
471314.5520438243422-1.55204382434224
481212.4460801730422-0.44608017304218
49810.1707107611110-2.17071076111103
501410.68829231927973.3117076807203
511212.6144034463442-0.614403446344225
521111.1942414896303-0.194241489630285
531614.98018879561541.01981120438463
5489.93196112293232-1.93196112293232
551515.5484938959838-0.548493895983793
5679.17761128834118-2.17761128834118
571612.17927052754133.82072947245869
581414.3003956981146-0.300395698114586
59910.2192693286527-1.21926932865272
601412.68630218522091.31369781477907
611113.0181257589533-2.01812575895330
621511.27993759098313.72006240901686
631513.04254841761731.95745158238265
641312.54358719479660.456412805203444
651112.0898339406458-1.08983394064576
661112.5284256755233-1.52842567552334
671212.7789862341036-0.778986234103582
681213.4195799600197-1.41957996001971
691212.3556642357022-0.355664235702185
701212.4008722043722-0.400872204372183
711411.28573991429932.71426008570068
7267.75744933162724-1.75744933162724
7379.55572531807258-2.55572531807258
741414.0541650888505-0.0541650888504911
751011.4296405289373-1.42964052893731
76137.538012629454445.46198737054556
771212.5202470234615-0.520247023461542
7899.53720811960929-0.537208119609288
791210.77870825661971.22129174338031
801615.47767764443610.522322355563876
811010.4109327732898-0.410932773289784
821013.2245659165110-3.22456591651096
831613.28839422052882.71160577947117
841514.06125617326490.938743826735128
85108.511512416431971.48848758356803
86810.4998763366297-2.49987633662975
8788.58931661550943-0.589316615509431
881112.9891668772039-1.98916687720393
891312.70816998255590.291830017444087
901615.78536530929080.214634690709151
911415.4257684780227-1.42576847802274
92910.3623742057481-1.36237420574809
93810.2648671839937-2.26486718399372
94810.9017204243672-2.90172042436716
951112.3033651826178-1.30336518261781
961214.0112252317232-2.01122523172315
971413.79542587820850.204574121791549
981514.57499410900630.425005890993736
991614.03564789038721.9643521096128
1001614.03564789038721.9643521096128
1011112.5583639077172-1.55836390771716
1021413.96374915151050.0362508484895038
1031411.62238646090342.37761353909659
1041211.59569569069670.404304309303302
1051313.8210341610861-0.821034161086123
106129.452312836117442.54768716388256
1071615.73641685507820.263583144921837
1081213.4195799600197-1.41957996001971
1091111.8763026986737-0.876302698673722
11046.8441354196911-2.84413541969110
1111615.73641685507820.263583144921837
1121011.2323583738859-1.23235837388590
1131313.22564840384-0.225648403839993
1141413.96374915151050.0362508484895038
115710.2452674982014-3.24526749820139
1161212.8731426569863-0.873142656986265
1171210.73724077349241.26275922650761
1181313.6075029191141-0.60750291911408
1191513.22712077784001.77287922215998
1201211.16863320675260.831366793247386
1211010.7853063174785-0.785306317478495
122811.0210952434565-3.02109524345652
1231013.6516284004550-3.65162840045504
1241514.31999538390690.680004616093088
1251615.05061516049200.949384839507961
1261313.5133464962314-0.513346496231397
1271615.35830282534680.641697174653236
128910.2682177828654-1.26821778286541
1291413.58189463623640.418105363763591
1301413.23273948825440.767260511745626
1311210.45761311595981.54238688404019


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.04595354426522450.09190708853044890.954046455734776
90.04589348726237270.09178697452474540.954106512737627
100.1277432794368540.2554865588737080.872256720563146
110.06873605173833930.1374721034766790.93126394826166
120.03404280927714990.06808561855429980.96595719072285
130.3312297281726810.6624594563453610.66877027182732
140.7252158810310350.549568237937930.274784118968965
150.7034159533141340.5931680933717330.296584046685866
160.6360246792289080.7279506415421830.363975320771092
170.6271060767841150.745787846431770.372893923215885
180.5618192941173990.8763614117652020.438180705882601
190.4825969314018640.9651938628037270.517403068598136
200.7484103102429350.503179379514130.251589689757065
210.6930453609802630.6139092780394750.306954639019737
220.6334926020477350.733014795904530.366507397952265
230.5653083785475610.8693832429048780.434691621452439
240.5057151201596730.9885697596806530.494284879840327
250.6894664575860180.6210670848279630.310533542413982
260.6266776338369620.7466447323260750.373322366163038
270.7336424831971550.532715033605690.266357516802845
280.8191222652566420.3617554694867160.180877734743358
290.7791730843110120.4416538313779750.220826915688988
300.7589015139662290.4821969720675430.241098486033771
310.7234607334841060.5530785330317880.276539266515894
320.713636702294540.5727265954109190.286363297705459
330.6825958850409320.6348082299181370.317404114959068
340.6651539759398290.6696920481203430.334846024060171
350.6329339773557560.7341320452884870.367066022644244
360.5765980991560990.8468038016878010.423401900843901
370.5229466900762960.9541066198474080.477053309923704
380.4719569568034230.9439139136068460.528043043196577
390.7437059324988760.5125881350022480.256294067501124
400.8660739511549570.2678520976900850.133926048845043
410.8923697132016820.2152605735966370.107630286798318
420.8757531156578580.2484937686842840.124246884342142
430.8622755432993790.2754489134012420.137724456700621
440.9030208886389690.1939582227220620.0969791113610309
450.8837241758093520.2325516483812960.116275824190648
460.916725638299660.1665487234006820.0832743617003408
470.914147666879410.1717046662411810.0858523331205903
480.8956295553894760.2087408892210470.104370444610524
490.9123470379889060.1753059240221880.087652962011094
500.9447684101627820.1104631796744370.0552315898372184
510.9305358459109820.1389283081780360.0694641540890178
520.912299596542240.1754008069155210.0877004034577605
530.8949272760972360.2101454478055270.105072723902764
540.8991115537051570.2017768925896850.100888446294843
550.8781788702926530.2436422594146940.121821129707347
560.8861322346618550.2277355306762900.113867765338145
570.9400791361791720.1198417276416560.0599208638208278
580.9233257163910990.1533485672178030.0766742836089014
590.913332036280780.1733359274384420.0866679637192208
600.9026914045507590.1946171908984820.097308595449241
610.904382134150770.1912357316984580.0956178658492292
620.9503085841894140.09938283162117120.0496914158105856
630.9516760141621540.09664797167569240.0483239858378462
640.9388416837230740.1223166325538530.0611583162769263
650.9277605449467090.1444789101065830.0722394550532913
660.9244108753535370.1511782492929270.0755891246464633
670.9078240883091880.1843518233816240.092175911690812
680.8967267158224610.2065465683550780.103273284177539
690.8722676291568070.2554647416863860.127732370843193
700.8442519096990320.3114961806019370.155748090300968
710.8836531680385580.2326936639228850.116346831961443
720.8743022230081630.2513955539836750.125697776991837
730.8893134073628030.2213731852743940.110686592637197
740.8627630006160850.2744739987678290.137236999383915
750.8468127325490080.3063745349019830.153187267450992
760.9834273498159120.03314530036817680.0165726501840884
770.9773801601195670.04523967976086560.0226198398804328
780.970006526333560.05998694733288090.0299934736664404
790.9658846582632390.06823068347352210.0341153417367611
800.9549940680158350.09001186396833050.0450059319841652
810.9416663428150780.1166673143698440.0583336571849218
820.9669030799950170.0661938400099660.033096920004983
830.9798708456204030.04025830875919420.0201291543795971
840.9741229921697260.05175401566054750.0258770078302737
850.9850146994500670.02997060109986550.0149853005499328
860.9853124560113740.02937508797725120.0146875439886256
870.9795930708251570.04081385834968640.0204069291748432
880.9791124106741350.04177517865173000.0208875893258650
890.9714368319815450.05712633603691050.0285631680184552
900.960463472183210.0790730556335790.0395365278167895
910.9586679029266370.0826641941467260.041332097073363
920.9486531059762340.1026937880475320.051346894023766
930.9505711900630150.09885761987397060.0494288099369853
940.9664511367566830.06709772648663460.0335488632433173
950.959550564041970.08089887191606160.0404494359580308
960.9575951999324880.08480960013502380.0424048000675119
970.9412768506538670.1174462986922650.0587231493461326
980.9207151625616740.1585696748766520.0792848374383261
990.9205754677979180.1588490644041640.0794245322020822
1000.923388320978430.1532233580431390.0766116790215694
1010.9160699600164460.1678600799671070.0839300399835536
1020.8869301920189450.2261396159621100.113069807981055
1030.9249369042481930.1501261915036130.0750630957518066
1040.9030050285433540.1939899429132930.0969949714566465
1050.8728149836197510.2543700327604990.127185016380249
1060.9695305450572750.06093890988544910.0304694549427246
1070.9539254544186630.09214909116267470.0460745455813373
1080.943842480154140.1123150396917180.056157519845859
1090.9186687390672790.1626625218654430.0813312609327213
1100.895653445642590.2086931087148190.104346554357410
1110.853343380779460.2933132384410790.146656619220539
1120.8070789912232250.385842017553550.192921008776775
1130.7418021464740790.5163957070518420.258197853525921
1140.6650338367705520.6699323264588950.334966163229448
1150.8104059137134780.3791881725730440.189594086286522
1160.7729476032875590.4541047934248820.227052396712441
11711.03952623803669e-1415.19763119018347e-142
11811.28888100164261e-1226.44440500821304e-123
11911.51917273998704e-1087.5958636999352e-109
12012.97616944314037e-921.48808472157019e-92
12113.9516372614307e-781.97581863071535e-78
12214.50595214666178e-622.25297607333089e-62
12315.42176106127711e-482.71088053063855e-48


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level70.0603448275862069NOK
5% type I error level140.120689655172414NOK
10% type I error level330.284482758620690NOK