Multiple Linear Regression - Estimated Regression Equation
testscores[t] = -0.499196751044552 -0.000698879751712638pageviews[t] + 0.00396592077682703logins[t] + 0.00224768012879452comp_views[t] + 0.00133820189015943comp_views_pr[t] + 0.282710837368043comp_reviewed[t] -0.0893074649308441Feedback_p1[t] + 0.0262587394294302feedback_p120[t] -6.29345910915496e-05revisions[t] -7.27600641965383e-06seconds[t] + 0.0781974664703193hyperlinks[t] -0.0657258098288152blogs[t] -0.00102669152057652t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.4991967510445521.472621-0.3390.7356080.367804
pageviews-0.0006988797517126380.001359-0.51440.6085690.304284
logins0.003965920776827030.0114980.34490.7311530.365577
comp_views0.002247680128794520.0031190.72060.4734680.236734
comp_views_pr0.001338201890159430.0048670.2750.7841340.392067
comp_reviewed0.2827108373680430.1759521.60680.1124860.056243
Feedback_p1-0.08930746493084410.052311-1.70720.0920880.046044
feedback_p1200.02625873942943020.0244981.07190.2873610.143681
revisions-6.29345910915496e-055.9e-05-1.06410.290820.14541
seconds-7.27600641965383e-061.4e-05-0.52030.6044340.302217
hyperlinks0.07819746647031930.0660391.18410.2402660.120133
blogs-0.06572580982881520.068554-0.95880.3408920.170446
t-0.001026691520576520.013727-0.07480.9405860.470293


Multiple Linear Regression - Regression Statistics
Multiple R0.340994467989689
R-squared0.116277227199571
Adjusted R-squared-0.0310099016005005
F-TEST (value)0.789459528112646
F-TEST (DF numerator)12
F-TEST (DF denominator)72
p-value0.659527126988586
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.49991900544623
Sum Squared Residuals449.970842432971


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12-0.4478047123859482.44780471238595
240.6444380686813083.35556193131869
30-0.3642051657380760.364205165738076
401.16811221242508-1.16811221242508
5-41.02752876997282-5.02752876997282
641.755107892726182.24489210727382
742.242873383158581.75712661684142
801.43286235874269-1.43286235874269
9-10.306070498571489-1.30607049857149
100-0.06408497598679560.0640849759867956
1111.77770223454573-0.77770223454573
1201.19178258186378-1.19178258186378
1330.3985830342299332.60141696577007
14-10.450857658898126-1.45085765889813
1541.24616679263622.7538332073638
1630.278793327311382.72120667268862
171-0.2574508431026181.25745084310262
1800.681674484088281-0.681674484088281
19-20.726330606500459-2.72633060650046
20-30.403476505827842-3.40347650582784
21-40.678773006723897-4.6787730067239
2220.5748653580075461.42513464199245
2322.49420036654378-0.494200366543775
24-40.900443148380033-4.90044314838003
2531.139490884862011.86050911513799
2620.4197607764201661.58023922357983
2720.470978368891111.52902163110889
2800.983955999108338-0.983955999108338
2950.7163818562906074.28361814370939
30-20.638053274347396-2.6380532743474
3100.25167521040634-0.25167521040634
32-20.608146618289501-2.6081466182895
33-3-0.679678757632503-2.3203212423675
3420.9695589109650171.03044108903498
3520.5978117293142391.40218827068576
3620.6455930940448491.35440690595515
3700.150454573745772-0.150454573745772
3840.7717129845097353.22828701549027
3940.5301379523851593.46986204761484
4020.6689769799202151.33102302007978
4123.72293528598277-1.72293528598277
42-4-0.416498843219281-3.58350115678072
433-0.09092710258735573.09092710258736
4431.041880269258091.95811973074191
4522.23443871306974-0.234438713069742
46-1-0.00247121485747059-0.99752878514253
47-3-0.227210085146397-2.7727899148536
480-0.4889888308007020.488988830800702
491-0.5174840875535211.51748408755352
50-3-0.620114742796504-2.3798852572035
513-0.04041502467245643.04041502467246
520-0.3329889439331330.332988943933133
5300.368357270551451-0.368357270551451
540-0.5836806235859960.583680623585996
5532.899300181529630.100699818470371
56-30.49147143746419-3.49147143746419
5700.862331975823798-0.862331975823798
58-40.626045307612822-4.62604530761282
5920.889209820818931.11079017918107
60-10.413146964330556-1.41314696433056
6131.347525449638391.65247455036161
6221.658832200805110.341167799194892
6351.731340862439053.26865913756095
6421.397085782637090.60291421736291
65-20.965145744954858-2.96514574495486
660-0.1254105401400370.125410540140037
6730.4252672604989482.57473273950105
68-2-0.385185655024749-1.61481434497525
6901.03974800563306-1.03974800563306
7060.07711139280108185.92288860719892
71-3-0.541503466942158-2.45849653305784
7230.0547084287426742.94529157125733
730-0.03777314888668920.0377731488866892
74-20.493688993570535-2.49368899357053
7510.2220433342624740.777956665737526
760-0.6167165272389730.616716527238973
772-0.1103674743458882.11036747434589
7820.009203725398440721.99079627460156
79-3-0.0242016468826178-2.97579835311738
80-2-0.705969654286968-1.29403034571303
811-0.4709600753047531.47096007530475
82-40.211535329338231-4.21153532933823
830-0.4766546750054730.476654675005473
8410.4251471492843140.574852850715686
8500.0779144282752674-0.0779144282752674


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.4104709961994940.8209419923989880.589529003800506
170.2591181832439310.5182363664878620.74088181675607
180.171256492334130.342512984668260.82874350766587
190.2842778818918120.5685557637836240.715722118108188
200.1958270882827220.3916541765654440.804172911717278
210.1498204935391770.2996409870783540.850179506460823
220.1848936851688660.3697873703377320.815106314831134
230.1212848090253990.2425696180507980.878715190974601
240.1778363942170470.3556727884340930.822163605782953
250.3346573601904120.6693147203808230.665342639809588
260.2634990537731610.5269981075463220.736500946226839
270.2030079166108880.4060158332217770.796992083389112
280.2046241687325150.409248337465030.795375831267485
290.2711821311697470.5423642623394940.728817868830253
300.3361103992426490.6722207984852990.663889600757351
310.2730261611618290.5460523223236580.726973838838171
320.3020824894994510.6041649789989030.697917510500549
330.3653476097614650.730695219522930.634652390238535
340.597790355755910.804419288488180.40220964424409
350.7766486978672040.4467026042655910.223351302132795
360.8006697670611760.3986604658776480.199330232938824
370.7484114264062260.5031771471875490.251588573593774
380.8082211871264560.3835576257470870.191778812873544
390.8429082199731320.3141835600537360.157091780026868
400.811057343009920.3778853139801610.18894265699008
410.8511163007189520.2977673985620960.148883699281048
420.8737593357369370.2524813285261250.126240664263063
430.8657798799358290.2684402401283430.134220120064171
440.8454503690195820.3090992619608360.154549630980418
450.8067161469894170.3865677060211660.193283853010583
460.8014292334748930.3971415330502150.198570766525107
470.7918368213424630.4163263573150740.208163178657537
480.7385515111113570.5228969777772860.261448488888643
490.7075676121096740.5848647757806520.292432387890326
500.6770789287447560.6458421425104880.322921071255244
510.7280016455567740.5439967088864520.271998354443226
520.7710993581816380.4578012836367250.228900641818362
530.709473030286320.581053939427360.29052696971368
540.6875159684658270.6249680630683470.312484031534174
550.6559654180869830.6880691638260350.344034581913017
560.7333064986215160.5333870027569680.266693501378484
570.6596978785786130.6806042428427740.340302121421387
580.8488112628846320.3023774742307360.151188737115368
590.7947119745909860.4105760508180270.205288025409014
600.8579452066786230.2841095866427540.142054793321377
610.9380502754639980.1238994490720040.0619497245360019
620.8991995581039320.2016008837921360.100800441896068
630.9160337153107050.1679325693785910.0839662846892954
640.871133982298050.2577320354039020.128866017701951
650.8099762448695220.3800475102609560.190023755130478
660.7088794571122270.5822410857755460.291120542887773
670.6558069783074550.688386043385090.344193021692545
680.9566914852983450.08661702940330950.0433085147016548
690.8826906009027220.2346187981945560.117309399097278


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 level10.0185185185185185OK