Multiple Linear Regression - Estimated Regression Equation
#karakters[t] = + 4756.8833820852 -5.46229397763476`#PageViews`[t] -0.0262726162944823`#SecRFC`[t] + 13.7136095023838`#LogIns`[t] + 7.86854625667212`#CourseCompViews`[t] + 29.7875093642806`#CompViewsPR`[t] + 1504.55654642116`#shared`[t] -94.2701630724805`#Blogs`[t] -516.584847556815`#Reviews`[t] + 63.5788933917212`#FBMinPR`[t] + 196.296507055593`#FBMinPR+120`[t] + 1.53301556198176`#revisions`[t] + 0.267519141955098`#seconden`[t] + 180.043051007182`#hyperlinks`[t] + 25.963591897104`#blogs`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)4756.88338208526693.6540930.71070.478580.23929
`#PageViews`-5.4622939776347611.050575-0.49430.6219350.310968
`#SecRFC`-0.02627261629448230.065742-0.39960.6900870.345044
`#LogIns`13.713609502383863.0573990.21750.8281790.41409
`#CourseCompViews`7.8685462566721222.5347990.34920.7275290.363764
`#CompViewsPR`29.787509364280669.4500680.42890.6687070.334354
`#shared`1504.55654642116610.6687432.46380.0150650.007532
`#Blogs`-94.270163072480598.706306-0.95510.3413350.170668
`#Reviews`-516.5848475568151241.610679-0.41610.6780570.339029
`#FBMinPR`63.5788933917212339.6259740.18720.8517960.425898
`#FBMinPR+120`196.296507055593115.1154611.70520.0905610.045281
`#revisions`1.533015561981760.3174114.82974e-062e-06
`#seconden`0.2675191419550980.0872793.06510.0026510.001325
`#hyperlinks`180.043051007182495.9695830.3630.717190.358595
`#blogs`25.963591897104514.8881610.05040.9598610.479931


Multiple Linear Regression - Regression Statistics
Multiple R0.881185316577205
R-squared0.776487562151269
Adjusted R-squared0.752230398353732
F-TEST (value)32.0106492511759
F-TEST (DF numerator)14
F-TEST (DF denominator)129
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23445.4150756768
Sum Squared Residuals70909685961.1299


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
114424480698.609334555163545.3906654449
2197426103862.30998648693563.6900135135
38665298747.3717104273-12095.3717104272
46559473684.4613857643-8090.46138576434
510138277839.291956441823542.7080435582
67617352092.985162862624080.0148371374
712408994107.724763469629981.2752365304
86608946792.960003142219296.0399968578
92261832708.337992593-10090.337992593
10149695133761.72535343715933.2746465632
115662240083.290516017316538.7094839827
1215004794793.964512208755253.0354877913
13151911133605.86254970818305.137450292
142516227816.6612447452-2654.66124474525
15105079100403.4328058864675.5671941141
166944677212.3366414535-7766.33664145348
17136588126435.6000096910152.3999903097
1812869281813.832049743746878.1679502564
19134047126420.9089121517626.09108784943
203170135689.7102545076-3988.71025450761
214375042246.56040277961503.43959722039
22143592115534.52107764428057.478922356
2310035062319.449393790838030.5506062092
24151715136353.56702926515361.432970735
25113344119906.274760482-6562.27476048243
26279488199724.89470824679763.1052917541
2712508191813.843002659533267.1569973405
286878869985.794939907-1197.79493990698
29103037100472.0801437722564.91985622844
3010215377468.979591772724684.0204082273
31147172122138.19280218425033.807197816
32146760138289.1927156598470.80728434055
33127654105861.45636933721792.5436306627
34110459104569.2398764735889.76012352734
35131072109682.02685839821389.9731416023
3612681786459.494628989440357.5053710106
3710853591713.709508031916821.2904919681
388231778773.91779951523543.08220048484
395722448661.05972645248562.94027354755
40135356108849.40302716426506.5969728364
419612597638.2618024076-1513.26180240756
4211686154.36614853955-4986.36614853955
4310207093121.12020149858948.87979850145
44118906120286.988114024-1380.98811402428
455990074911.9591294902-15011.9591294902
467901185400.6673211999-6389.66732119988
4710329793248.751741836710048.2482581633
48143372113727.87079843729644.1292015631
4910943285027.079168441624404.9208315584
50167949149115.64345917618833.3565408241
51877314966.2658301544-6193.26583015443
524572463666.6459767902-17942.6459767902
53149959140403.8838811739555.11611882654
548135199952.7766869687-18601.7766869687
55103129114581.570689389-11452.570689389
56154451120672.6146181833778.3853818202
5788977103795.909543444-14818.909543444
58140824136252.5944780144571.40552198592
598460182948.21301836071652.78698163933
60169707165026.5258400954680.47415990476
61187326161221.5555178926104.4444821098
62156349133935.09623704522413.9037629546
6310814692945.808648707615200.1913512924
64168553151692.29776888816860.7022311123
65144408123913.39487896220494.6051210376
66183500156691.03385685826808.9661431422
67104128119686.509661151-15558.5096611511
683303240134.8862270963-7102.88622709629
694392957257.4889843-13328.4889843
705675067660.2621998815-10910.2621998815
71126372130172.601312483-3800.60131248299
72160141128969.27528094531171.7247190548
737157169917.60185580741653.39814419257
74125818114172.38710847511645.6128915253
753869258825.9219448834-20133.9219448834
7695893100508.640078954-4615.64007895429
776715085512.7511280067-18362.7511280067
78110529138902.12850415-28373.1285041501
795993867112.240844001-7174.24084400097
808162593111.2878348027-11486.2878348027
817115474022.9104253813-2868.91042538126
82104767114479.394792487-9712.39479248747
83125386134035.257039093-8649.25703909302
84165933139536.16917757326396.8308224267
856452068769.1501474587-4249.15014745865
86165986180655.885347896-14669.8853478958
8710281299099.52375809373712.47624190635
888189788431.6156626026-6534.61566260261
893711050684.7011824006-13574.7011824006
90146975137736.7823507439238.21764925652
919205990051.6967923822007.30320761802
92144551116327.78058540828223.2194145916
93184923205714.270591814-20791.2705918135
947975692277.7610183378-12521.7610183378
95140015141322.842079825-1307.84207982532
9689506110065.072493462-20559.072493462
976459376158.5785790336-11565.5785790335
987016880959.4840753785-10791.4840753785
99134238148532.743829734-14294.7438297343
10010104798878.75152309522168.24847690478
10192622110172.086851709-17550.0868517093
1021411618954.2081515059-4838.20815150592
1031598624411.3199413387-8425.31994133868
10489256104194.114684129-14938.1146841295
105150491177370.52342309-26879.52342309
106140358134345.6642973696012.33570263144
107114948121308.897594687-6360.89759468692
10895671116515.788343187-20844.788343187
109176225202177.643700484-25952.6437004843
11093487107320.197945376-13833.1979453761
11189626123469.497351694-33843.4973516938
1126648575876.3837139132-9391.38371391324
11379089116386.272350094-37297.2723500938
1145591865846.8362474946-9928.83624749464
115112302144220.921714077-31918.9217140768
116104581110135.480093408-5554.48009340804
117117440134272.483702919-16832.4837029188
118101629118989.761212946-17360.7612129461
119112098118915.481674157-6817.48167415663
12068946110250.28687538-41304.2868753802
121114799135169.997222272-20370.9972222722
122119442154166.088583951-34724.0885839509
123100087112832.335895964-12745.3358959639
124139165159894.217105132-20729.2171051322
12583243111286.441815832-28043.4418158315
126123534129748.532383839-6214.53238383949
127617914888.610885454-8709.61088545399
12816446957.90502324363-5313.90502324363
12960239992.46830111515-3969.46830111515
130120192156005.23084612-35813.2308461202
1318324891293.6294409157-8045.62944091568
132103925132236.140288168-28311.1402881676
13372128100244.364552946-28116.3645529456
134112431129054.693806016-16623.6938060162
13592280124293.962517995-32013.9625179948
13683515105047.096871577-21532.0968715773
1374802964103.6573370143-16074.6573370143
13893879108623.013444068-14744.0134440679
1398556254.24941082105-5399.24941082105
140100046117095.582412446-17049.5824124462
1413108145761.1019061069-14680.1019061069
142104978144823.695340782-39845.6953407823
143595012966.7309924186-7016.73099241859
144392611494.118465923-7568.11846592297


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.1123155987595820.2246311975191650.887684401240418
190.04696109679994610.09392219359989230.953038903200054
200.01670800636218870.03341601272437730.983291993637811
210.006045992749876960.01209198549975390.993954007250123
220.002695104942385680.005390209884771360.997304895057614
230.001549200521259150.00309840104251830.998450799478741
240.0005712945209240580.001142589041848120.999428705479076
250.004289199191788290.008578398383576580.995710800808212
260.03212795995921450.06425591991842890.967872040040786
270.03400085976835630.06800171953671250.965999140231644
280.1310577090809660.2621154181619310.868942290919034
290.1230762146544230.2461524293088460.876923785345577
300.09335016357603920.1867003271520780.906649836423961
310.07830206309633410.1566041261926680.921697936903666
320.07809893025328080.1561978605065620.921901069746719
330.08566068294151950.1713213658830390.91433931705848
340.08356766196051610.1671353239210320.916432338039484
350.06435043232836970.1287008646567390.93564956767163
360.07645652908021270.1529130581604250.923543470919787
370.06298747938664070.1259749587732810.937012520613359
380.04732642270949210.09465284541898420.952673577290508
390.04165269940922690.08330539881845380.958347300590773
400.04378796025398110.08757592050796220.956212039746019
410.03096979629645830.06193959259291670.969030203703542
420.02135038484396960.04270076968793920.97864961515603
430.04277131351595260.08554262703190520.957228686484047
440.166515825402170.333031650804340.83348417459783
450.3939221776992220.7878443553984450.606077822300778
460.4627131191074150.925426238214830.537286880892585
470.4057471718418860.8114943436837710.594252828158114
480.4271609738030790.8543219476061590.572839026196921
490.4365619619429190.8731239238858380.563438038057081
500.4454925633351310.8909851266702620.554507436664869
510.4027366431068180.8054732862136350.597263356893182
520.5744362612662010.8511274774675970.425563738733799
530.7149474080653750.570105183869250.285052591934625
540.7171204705060780.5657590589878440.282879529493922
550.875816724955210.248366550089580.12418327504479
560.9424527365295050.1150945269409910.0575472634704953
570.9389343209414680.1221313581170630.0610656790585316
580.9600539605257270.07989207894854510.0399460394742725
590.9630298955500970.07394020889980620.0369701044499031
600.9814877910480160.0370244179039680.018512208951984
610.997667229847530.004665540304939220.00233277015246961
620.9985759095928450.002848180814309430.00142409040715471
630.9981493752622920.003701249475415950.00185062473770798
640.9994367144142020.001126571171596020.000563285585798011
650.9997422124089660.000515575182068820.00025778759103441
660.999998828815242.34236952016797e-061.17118476008398e-06
670.9999990334236571.9331526850082e-069.66576342504101e-07
680.9999991267049661.74659006764102e-068.7329503382051e-07
690.9999990250508211.94989835711774e-069.74949178558872e-07
700.9999987734127832.45317443487233e-061.22658721743616e-06
710.9999987830591622.43388167607347e-061.21694083803674e-06
720.9999997440418055.11916390943559e-072.5595819547178e-07
730.9999995946547948.10690411805934e-074.05345205902967e-07
740.9999999165115021.66976995051591e-078.34884975257956e-08
750.9999998808333842.38333232156275e-071.19166616078138e-07
760.9999997862298544.27540291119382e-072.13770145559691e-07
770.9999997033003945.93399212657485e-072.96699606328742e-07
780.999999899717132.00565740784878e-071.00282870392439e-07
790.9999998605995812.78800837950243e-071.39400418975122e-07
800.9999997720278864.55944228268949e-072.27972114134474e-07
810.9999995523895488.95220903319135e-074.47610451659568e-07
820.9999993967857861.20642842791347e-066.03214213956735e-07
830.9999991951055081.60978898397473e-068.04894491987363e-07
840.9999999210927831.57814433632027e-077.89072168160133e-08
850.9999998774818472.45036306249693e-071.22518153124846e-07
860.9999998953611852.09277630863125e-071.04638815431562e-07
870.9999998592448462.81510307969282e-071.40755153984641e-07
880.9999997172925555.6541489037701e-072.82707445188505e-07
890.9999994704933641.05901327260172e-065.29506636300858e-07
900.9999999157619781.6847604360025e-078.42380218001248e-08
910.9999999582013068.3597388338151e-084.17986941690755e-08
920.9999999905840761.88318478823344e-089.41592394116718e-09
930.9999999902980131.94039741058731e-089.70198705293656e-09
940.999999988367042.32659194784794e-081.16329597392397e-08
950.9999999820594163.58811688138237e-081.79405844069118e-08
960.9999999702352185.95295637913838e-082.97647818956919e-08
970.9999999402795441.19440911829936e-075.97204559149681e-08
980.999999953952729.20945603143192e-084.60472801571596e-08
990.999999974811815.03763807593971e-082.51881903796986e-08
1000.9999999918147071.63705851403607e-088.18529257018036e-09
1010.9999999843232153.13535698183305e-081.56767849091652e-08
1020.9999999699927156.00145698219006e-083.00072849109503e-08
1030.9999999144051121.71189775172385e-078.55948875861924e-08
1040.999999820606143.58787719009956e-071.79393859504978e-07
1050.9999998205925033.58814993108774e-071.79407496554387e-07
1060.999999965748816.85023807327523e-083.42511903663761e-08
1070.9999999464263791.07147242239058e-075.35736211195292e-08
1080.9999999107076571.78584685077349e-078.92923425386745e-08
1090.9999999716198155.67603707605908e-082.83801853802954e-08
1100.9999999400475231.19904953396442e-075.99524766982209e-08
1110.9999999141741371.71651726206633e-078.58258631033166e-08
1120.9999999094595931.81080813928795e-079.05404069643976e-08
1130.9999997544970084.91005983602001e-072.45502991801001e-07
1140.9999992206598831.55868023407148e-067.79340117035742e-07
1150.9999980264154163.9471691672992e-061.9735845836496e-06
1160.9999952914470749.4171058529593e-064.70855292647965e-06
1170.999987359256562.52814868799814e-051.26407434399907e-05
1180.9999693862942426.12274115155925e-053.06137057577963e-05
1190.9999915606097671.68787804668375e-058.43939023341877e-06
1200.9999709759309695.80481380617892e-052.90240690308946e-05
1210.9999979510204444.09795911236183e-062.04897955618091e-06
1220.9999977961012664.40779746859668e-062.20389873429834e-06
1230.999981626790683.67464186399582e-051.83732093199791e-05
1240.9998593566411740.0002812867176527370.000140643358826369
1250.9990311732414590.001937653517082930.000968826758541465
1260.9983496083127950.003300783374410840.00165039168720542


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level700.642201834862385NOK
5% type I error level740.678899082568807NOK
10% type I error level840.770642201834862NOK