Multiple Linear Regression - Estimated Regression Equation
test[t] = -0.607455139177964 -9.72917944876327e-06tijd[t] + 0.00235370233505576login[t] + 0.00311041641574067vieuws[t] + 0.0483486821994552revieuws[t] + 1.23734505919451e-05size[t] + 0.124287563521226shared[t] -0.00182273321546957blogged[t] + 0.0197560013060629intrisieke[t] -0.0168624693866774extrisieke[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.6074551391779642.99066-0.20310.8397930.419896
tijd-9.72917944876327e-067e-06-1.47340.1463450.073173
login0.002353702335055760.0104160.2260.8220630.411032
vieuws0.003110416415740670.0038980.7980.4283090.214154
revieuws0.04834868219945520.0515340.93820.3522530.176126
size1.23734505919451e-051.3e-050.97950.33160.1658
shared0.1242875635212260.136780.90870.3674910.183745
blogged-0.001822733215469570.008279-0.22020.8265560.413278
intrisieke0.01975600130606290.0307090.64330.5226830.261341
extrisieke-0.01686246938667740.044255-0.3810.7046480.352324


Multiple Linear Regression - Regression Statistics
Multiple R0.303118269114845
R-squared0.0918806850711794
Adjusted R-squared-0.0567206573717185
F-TEST (value)0.618303196732464
F-TEST (DF numerator)9
F-TEST (DF denominator)55
p-value0.776282486364639
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.33348657980496
Sum Squared Residuals299.483778997142


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
100.00828894987584876-0.00828894987584876
230.6197787516789882.38022124832101
30-0.3620903570708740.362090357070874
42-0.564396176682812.56439617668281
510.3399952919113630.660004708088637
610.2467573750188020.753242624981198
700.0588340047345725-0.0588340047345725
82-0.1472716713091572.14727167130916
9-2-0.0852453043196066-1.91475469568039
10-40.0293761646694719-4.02937616466947
111-0.1822897539400681.18228975394007
120-0.6299044966004650.629904496600465
13-3-0.298486375968988-2.70151362403101
1400.537402263617169-0.537402263617169
15-2-0.200977528051081-1.79902247194892
16-2-0.750249432485341-1.24975056751466
17-3-0.417269282035457-2.58273071796454
1800.0367974158278948-0.0367974158278948
1900.524169960610631-0.524169960610631
2040.7254909919719023.2745090080281
211-0.5451866125627331.54518661256273
2230.3134398968336432.68656010316636
234-0.3184278950633254.31842789506332
2421.19148322719420.8085167728058
250-0.3023370838318010.302337083831801
2620.7211252698807391.27887473011926
2701.05916587056016-1.05916587056016
2830.7844408440887252.21555915591128
2931.132525244841071.86747475515893
3001.2445265526609-1.2445265526609
316-0.01178976079217716.01178976079218
3220.1818305383351971.8181694616648
3300.872392139197523-0.872392139197523
3420.8658116011793461.13418839882065
3541.14457474651052.8554252534895
3620.2563329202350561.74366707976494
3731.630038735192721.36996126480728
3800.57036179417179-0.57036179417179
39-10.612819325977304-1.6128193259773
4001.40974403795055-1.40974403795055
4100.856938589004909-0.856938589004909
42-10.140756986332889-1.14075698633289
4301.42926786626973-1.42926786626973
44-10.284648340860456-1.28464834086046
451-0.1585465519462981.1585465519463
46-20.0771200755001109-2.07712007550011
47-40.709819641151698-4.7098196411517
4821.209622604282070.790377395717929
49-40.708991738599569-4.70899173859957
5020.5969383061453371.40306169385466
51-30.383259568301718-3.38325956830172
5220.6552295550761581.34477044492384
5320.3040934827733021.6959065172267
54-40.946116017035935-4.94611601703594
5532.505054788050140.494945211949856
56-10.527294180186386-1.52729418018639
57-3-1.19558611478774-1.80441388521226
5800.274566707440687-0.274566707440687
5922.50488862399626-0.50488862399626
6020.5257052437005781.47429475629942
6120.2987244864159731.70127551358403
62-2-0.0858169674562639-1.91418303254374
6300.287194015822263-0.287194015822263
64-30.124109017775678-3.12410901777568
6530.788027615456262.21197238454374


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.4027912080992270.8055824161984550.597208791900773
140.2445168858468520.4890337716937040.755483114153148
150.1852212537611420.3704425075222830.814778746238858
160.1168138076837950.2336276153675910.883186192316205
170.07587612898495270.1517522579699050.924123871015047
180.0747231381504530.1494462763009060.925276861849547
190.04056160415185880.08112320830371760.959438395848141
200.08738980960787470.1747796192157490.912610190392125
210.06281497845135860.1256299569027170.937185021548641
220.04089030806946930.08178061613893870.959109691930531
230.06281137250850640.1256227450170130.937188627491494
240.2011245026085340.4022490052170670.798875497391466
250.1669609415865940.3339218831731880.833039058413406
260.1286415464946730.2572830929893460.871358453505327
270.1052994565828970.2105989131657940.894700543417103
280.1281396461187920.2562792922375830.871860353881208
290.1002782993885960.2005565987771920.899721700611404
300.08422502803107490.168450056062150.915774971968925
310.4748178219805020.9496356439610040.525182178019498
320.4176469363274280.8352938726548550.582353063672572
330.3615782487533020.7231564975066050.638421751246698
340.3601163447720920.7202326895441840.639883655227908
350.4542064619702860.9084129239405710.545793538029714
360.4621320559570170.9242641119140340.537867944042983
370.4278467126355670.8556934252711340.572153287364433
380.3522921268089820.7045842536179640.647707873191018
390.3175754255898610.6351508511797210.682424574410139
400.2712730229945760.5425460459891530.728726977005424
410.2201534368409690.4403068736819390.779846563159031
420.181108860431930.3622177208638610.81889113956807
430.1573973763892860.3147947527785720.842602623610714
440.1260072188423720.2520144376847440.873992781157628
450.09870729085858270.1974145817171650.901292709141417
460.07225828867961450.1445165773592290.927741711320386
470.1374727934910830.2749455869821660.862527206508917
480.1495854300149660.2991708600299310.850414569985035
490.212693328209220.4253866564184390.78730667179078
500.313848007876560.6276960157531190.68615199212344
510.2493393693233020.4986787386466040.750660630676698
520.446706552757020.893413105514040.55329344724298


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 level20.05OK