Multiple Linear Regression - Estimated Regression Equation
Liked[t] = + 3.98257961482792 + 0.125971845421722Perceived_happiness[t] + 0.303663490104812Popularity[t] + 0.0425109403840113Finding_friends[t] + 0.101947787907027Knowing_people[t] + 0.308821987184138Celebrity[t] + 0.817714644076724Gender[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.982579614827921.9358292.05730.0433850.021692
Perceived_happiness0.1259718454217220.0934911.34740.182190.091095
Popularity0.3036634901048120.0979953.09880.0027980.001399
Finding_friends0.04251094038401130.1351550.31450.7540510.377026
Knowing_people0.1019477879070270.0756871.3470.1823360.091168
Celebrity0.3088219871841380.1980981.55890.1235210.06176
Gender0.8177146440767240.4600741.77740.0798540.039927


Multiple Linear Regression - Regression Statistics
Multiple R0.703702909052231
R-squared0.495197784208573
Adjusted R-squared0.451929022855022
F-TEST (value)11.4446951730901
F-TEST (DF numerator)6
F-TEST (DF denominator)70
p-value7.02814140218777e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.80833332620379
Sum Squared Residuals228.904859306149


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11314.7887500140159-1.78875001401595
21111.2193418535750-0.219341853575041
31413.73757856196510.262421438034914
41212.6492751245336-0.649275124533604
51214.0182847351218-2.01828473512181
6610.8553686032175-4.85536860321745
71012.8152863576033-2.81528635760329
81112.6857121200811-1.68571212008114
9108.03346840472261.96653159527740
101212.3357147125509-0.335714712550877
111516.477730123962-1.47773012396199
121312.72528083394840.274719166051585
131110.82902621484030.170973785159657
141211.70340670533780.296593294662223
151313.4339150718603-0.433915071860267
161414.6230531641491-0.62305316414911
171615.49764610456650.502353895433471
181615.36177233949850.638227660501471
191614.22883061863091.77116938136910
201515.2922587181368-0.292258718136765
211312.87081130057440.129188699425574
22810.8378237981925-2.8378237981925
231412.28858011621451.71141988378553
241514.62954525220220.370454747797843
251313.5833049124740-0.583304912474038
261614.28119094809711.71880905190294
271312.28792845016020.712071549839767
281214.2485077644764-2.24850776447637
291515.4976461045665-0.497646104566529
301411.36426126011002.63573873988996
311313.1068680544456-0.106868054445558
321210.16607252858581.83392747141417
331413.60855393019730.391446069802666
341312.01745648173280.98254351826721
351414.4730572612127-0.473057261212694
361515.5482527707782-0.548252770778241
371614.63172512581841.36827487418158
381515.2826020165788-0.282602016578752
3958.38120381094174-3.38120381094174
401513.37291724860691.62708275139306
411614.09918708897721.90081291102280
421614.09918708897721.90081291102280
431413.22276312602850.777236873971468
441314.9332087423070-1.93320874230697
451414.9183935436696-0.91839354366963
461213.1047357136250-1.10473571362505
471513.62432404224231.37567595775766
481311.04762029138141.95237970861863
491010.6197319216271-0.619731921627061
501313.5433525232723-0.543352523272348
511413.97321524355550.0267847564445257
521313.2183390844328-0.21833908443281
531814.17867179509983.82132820490016
541615.57854845842190.421451541578082
551514.03852528124560.96147471875442
561412.42995828775961.57004171224043
571614.54348440126741.45651559873256
581110.37728671269960.62271328730036
591312.34630469519770.653695304802288
601413.75457363421870.245426365781316
611411.04531689535562.95468310464444
621212.0432817352977-0.0432817352976996
631612.53945206872293.46054793127706
641415.8427074020057-1.84270740200570
651213.9972393010702-1.99723930107017
661314.2389202280330-1.23892022803296
671313.3026265097172-0.302626509717229
681010.7461516097294-0.746151609729437
691515.3746528826079-0.374652882607865
701312.84678724305970.153212756940269
711413.60435034652570.395649653474324
721511.44360263823513.55639736176488
731413.23219936966250.76780063033752
741213.605911322256-1.60591132225599
751314.4780575386500-1.47805753865003
761413.12573361488090.874266385119072
77410.0915880999005-6.09158809990052


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.841923999533150.31615200093370.15807600046685
110.7518206868415490.4963586263169030.248179313158451
120.6272001689647750.745599662070450.372799831035225
130.7092980629479690.5814038741040620.290701937052031
140.6747462953496240.6505074093007520.325253704650376
150.5721894336074940.8556211327850110.427810566392506
160.4841924162504550.968384832500910.515807583749545
170.4447268955569170.8894537911138330.555273104443083
180.3529656392493350.705931278498670.647034360750665
190.4933826490222170.9867652980444350.506617350977783
200.403802552100180.807605104200360.59619744789982
210.3268643928990420.6537287857980840.673135607100958
220.5126927184025680.9746145631948640.487307281597432
230.572028200062460.855943599875080.42797179993754
240.4997105175991510.9994210351983020.500289482400849
250.4233372387938720.8466744775877450.576662761206128
260.4232959147884760.8465918295769510.576704085211524
270.3551954500824640.7103909001649280.644804549917536
280.3669061463115260.7338122926230520.633093853688474
290.3016599478774750.6033198957549490.698340052122525
300.3863479341919750.7726958683839490.613652065808025
310.3171360425034500.6342720850069010.68286395749655
320.3185721833069840.6371443666139690.681427816693016
330.2804589069788850.560917813957770.719541093021115
340.2337383415663510.4674766831327020.766261658433649
350.1920609355982430.3841218711964850.807939064401757
360.1534105617490950.306821123498190.846589438250905
370.1392519473727730.2785038947455450.860748052627228
380.1029934343554860.2059868687109720.897006565644514
390.2230191216549590.4460382433099170.776980878345041
400.2113444358735830.4226888717471660.788655564126417
410.2125517145716390.4251034291432780.78744828542836
420.2102019443748440.4204038887496870.789798055625156
430.1709353497218990.3418706994437980.8290646502781
440.1757950748983410.3515901497966820.82420492510166
450.1522019759699070.3044039519398140.847798024030093
460.1220192468603010.2440384937206010.8779807531397
470.1342086501481320.2684173002962640.865791349851868
480.1217163440002530.2434326880005070.878283655999747
490.1158472078355650.2316944156711300.884152792164435
500.08712044639070790.1742408927814160.912879553609292
510.06207936761147440.1241587352229490.937920632388526
520.04533839581505190.09067679163010390.954661604184948
530.1508878737681720.3017757475363450.849112126231828
540.1105479902633570.2210959805267140.889452009736643
550.08550593706235980.1710118741247200.91449406293764
560.06287380871931250.1257476174386250.937126191280688
570.0461962387736810.0923924775473620.953803761226319
580.02972720794888360.05945441589776720.970272792051116
590.01922729672908600.03845459345817210.980772703270914
600.01186949834984780.02373899669969570.988130501650152
610.04803481765308050.0960696353061610.95196518234692
620.02869159837372310.05738319674744620.971308401626277
630.1577113055246310.3154226110492620.84228869447537
640.1491969110921760.2983938221843520.850803088907824
650.5004182339617910.9991635320764170.499581766038209
660.5093896339886930.9812207320226140.490610366011307
670.4560994114922220.9121988229844450.543900588507778


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level20.0344827586206897OK
10% type I error level70.120689655172414NOK