Multiple Linear Regression - Estimated Regression Equation
#characters[t] = + 2007.54819999287 + 1.30331979857136`#Pageviews`[t] -0.134574421300539TotalTimeRFC[t] + 11.4375120629762`#Logins`[t] + 0.766216187215687` #CompendiumViews`[t] + 83.7354478728715`#CompendiumViews(PR)`[t] + 2215.95039306193`#SharedCOmp`[t] -57.5784418433649`#BloggedComputations`[t] + 180.909865591336`#ReviewedCompendiums`[t] + 1.72008470509214`#submittedFeedbackMsgs`[t] + 195.61832680513`#LongPeerRev`[t] + 1.08179458709331`#revisions`[t] + 0.489389165360622` #seconds(comp)`[t] + 46.2764328923157`#hyperlinks`[t] + 1.65960979494318`#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)2007.548199992875720.4937910.35090.7261290.363065
`#Pageviews`1.3033197985713611.0968630.11740.9066620.453331
TotalTimeRFC-0.1345744213005390.060231-2.23430.0269510.013475
`#Logins`11.437512062976263.0420850.18140.8562790.42814
` #CompendiumViews`0.76621618721568722.7589730.03370.9731880.486594
`#CompendiumViews(PR)`83.735447872871539.0743812.1430.0337390.01687
`#SharedCOmp`2215.95039306193632.1059883.50570.0006020.000301
`#BloggedComputations`-57.5784418433649101.180893-0.56910.5701690.285085
`#ReviewedCompendiums`180.909865591336789.6816330.22910.8191110.409556
`#submittedFeedbackMsgs`1.72008470509214245.2495770.0070.9944130.497207
`#LongPeerRev`195.61832680513119.9637211.63060.1050770.052539
`#revisions`1.081794587093310.3448323.13720.0020560.001028
` #seconds(comp)`0.4893891653606220.0943685.1861e-060
`#hyperlinks`46.2764328923157565.5235880.08180.9348920.467446
`#blogs`1.65960979494318588.081080.00280.9977520.498876


Multiple Linear Regression - Regression Statistics
Multiple R0.870352476012826
R-squared0.757513432501657
Adjusted R-squared0.734729459716578
F-TEST (value)33.2476447214569
F-TEST (DF numerator)14
F-TEST (DF denominator)149
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation26872.9884367506
Sum Squared Residuals107601468620.738


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1140824144059.11575069-3235.11575068986
2110459106411.5089561464047.49104385382
3105079115509.549445114-10430.5494451139
4112098120495.345876211-8397.34587621081
54392965131.3648855374-21202.3648855374
67617364216.59381268311956.406187317
7187326145344.05595868241981.9440413179
82280714778.39271370148028.60728629861
9144408125250.17654389819157.8234561016
106648575680.9164157294-9195.91641572939
1179089111728.594176546-32639.5941765463
1281625109752.726691013-28127.726691013
136878882873.1628023742-14085.1628023742
1410329792946.680233684610350.3197663154
156944689233.5284608523-19787.5284608523
16114948136435.660448692-21487.6604486922
17167949143995.56830314223953.4316968581
1812508184577.332216489840503.6677835102
19125818105992.84090149119825.1590985092
20136588133394.180295653193.81970435001
21112431130353.015629124-17922.0156291238
2210303782259.131425802220777.8685741978
238231784435.1646313135-2118.16463131348
24118906136527.511921129-17621.5119211286
2583515107990.005127908-24475.0051279078
26104581106918.612796131-2337.61279613111
27103129123422.604994482-20293.6049944816
2883243108362.384859235-25119.384859235
293711054599.7168087509-17489.7168087509
30113344137609.388011188-24265.3880111879
31139165158335.645026511-19170.6450265107
3286652101773.570675753-15121.570675753
33112302141083.263986379-28781.2639863791
346965255532.911507582314119.0884924177
35119442143609.430181504-24167.4301815037
366986763959.40397972865907.59602027145
37101629122526.422624277-20897.4226242771
387016882570.6700834043-12402.6700834043
393108147368.2905691128-16287.2905691128
40103925123342.218820699-19417.2188206989
4192622113091.299367714-20469.2993677137
427901191531.6633676721-12520.6633676721
4393487120575.824993184-27088.8249931841
446452084914.877626273-20394.877626273
459347387150.6186100466322.38138995395
46114360110693.9750437333666.02495626693
473303256611.7426406479-23579.7426406479
4896125108023.023368401-11898.0233684005
49151911154995.086003602-3084.08600360172
5089256107095.039534407-17839.0395344065
5195676127745.091945427-32069.0919454269
52595013782.8587911163-7832.85879111633
53149695144499.023933375195.97606663046
543255138735.1357823622-6184.13578236217
553170142252.7230746651-10551.7230746651
56100087113255.389519208-13168.3895192078
57169707175001.459656364-5294.45965636444
58150491174168.723717505-23677.723717505
59120192143180.082955164-22988.0829551639
6095893103409.241524461-7516.2415244605
61151715153871.865252246-2156.86525224557
62176225193387.995990702-17162.9959907021
635990085347.1583654548-25447.1583654548
64104767116208.257947265-11441.2579472653
65114799132189.433021555-17390.4330215547
667212893247.9498863812-21119.9498863812
67143592115354.35233521328237.6476647875
6889626144496.02280823-54870.0228082298
6913107299594.439784059431477.5602159405
7012681790309.398006182336507.6019938177
7181351115442.904050768-34091.9040507677
722261842802.5271832818-20184.5271832818
7388977111605.06209582-22628.0620958197
749205984086.73511174967972.26488825041
758189794565.9292328308-12668.9292328308
7610814684627.458574407823518.5414255922
77126372115743.79880600210628.2011939978
78249771136613.358093909113157.641906091
797115478152.8404314829-6998.84043148286
807157169312.57992214212258.42007785792
815591872129.1540616761-16211.1540616761
82160141121438.24431008438702.7556899156
833869268653.3973415457-29961.3973415457
84102812101048.6696487941763.33035120566
855662238101.752360066818520.2476399332
861598624115.6765607406-8129.67656074056
87123534129159.368924317-5625.36892431663
8810853598816.10500265689718.89499734318
8993879127285.4071029-33406.4071028995
90144551112393.25621540532157.7437845954
915675073068.5161309254-16318.5161309254
9212765493889.58843299333764.411567007
936559491684.198140026-26090.198140026
945993865848.060433892-5910.06043389204
95146975130976.46689526615998.533104734
96165904131591.71562508134312.2843749185
97169265147368.55083758421896.4491624161
98183500147111.33770305836388.6622969419
99165986193180.911561466-27194.9115614661
100184923187062.028017274-2139.02801727403
101140358139065.0701529821292.92984701835
102149959136468.92156021413490.0784397865
1035722455500.0836621431723.91633785699
1044375045056.4031429639-1306.40314296394
1054802963713.1016500036-15684.1016500036
106104978127518.604119836-22540.6041198358
107100046117323.047637915-17277.0476379154
10810104797875.24785243883171.75214756124
109197426123773.98096876473652.0190312356
11016090284733.657740766976168.3422592331
111147172130741.19401625616430.8059837439
11210943285415.33422628424016.665773716
11311683498.85938859085-2330.85938859085
1148324893018.148996862-9770.14899686197
1152516230111.441740003-4949.44174000295
1164572469237.3420077628-23513.3420077628
117110529128625.171635125-18096.1716351246
1188553708.75377489644-2853.75377489644
11910138286234.027318110515147.9726818895
1201411615430.747796609-1314.74779660903
12189506122232.448533489-32726.4485334888
122135356110946.59129505524409.408704945
12311606674348.578844660341717.4211553397
12414424480354.189953810163889.8100461899
125877316892.7858450526-8119.7858450526
12610215380116.2670987922036.73290121
127117440131891.509169539-14451.509169539
128104128119069.162008-14941.1620079999
129134238145439.978029853-11201.978029853
130134047143388.826111631-9341.826111631
131279488199904.2549156779583.7450843301
13279756101784.378168027-22028.3781680268
1336608960361.3467657465727.65323425403
13410207098438.36192737843631.63807262158
135146760144124.0555504932635.94444950699
13615477173373.529062010981397.4709379891
137165933139660.60419417726272.395805823
1386459385351.6662485488-20758.6662485488
13992280124419.162459824-32139.1624598243
1406715095002.5453478596-27852.5453478596
14112869278315.866407875250376.1335921248
142124089107417.83521008916671.1647899109
143125386117607.9179855427778.08201445848
1443723818325.765981986718912.2340180133
145140015142895.496948725-2880.49694872534
146150047110042.04627807840004.9537219223
147154451117637.00767528236813.992324718
148156349134274.14452546422074.8554745358
149021953.5738027261-21953.5738027261
15060236615.59409530147-592.594095301473
15102012.31401776125-2012.31401776125
15201979.61842081565-1979.61842081565
15304223.49859305481-4223.49859305481
15402007.54819999288-2007.54819999288
1558460178663.86057386085937.13942613918
15668946113658.367878273-44712.3678782732
15702007.54819999288-2007.54819999288
15802031.19291991505-2031.19291991505
15916443912.93774940313-2268.93774940313
160617913563.9250373459-7384.92503734585
16139267934.29829238624-4008.29829238624
1625278932349.580615810720439.4193841893
16301937.81688403718-1937.81688403718
16410035058742.850579046841607.1494209532


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.403508325777490.807016651554980.59649167422251
190.2918978024620850.5837956049241690.708102197537915
200.2053465473517660.4106930947035320.794653452648234
210.1776714616831060.3553429233662130.822328538316894
220.1819106096245260.3638212192490520.818089390375474
230.1127138526940420.2254277053880840.887286147305958
240.07569599787910970.1513919957582190.92430400212089
250.06076837019757320.1215367403951460.939231629802427
260.03490342063806650.06980684127613310.965096579361933
270.02451188182305260.04902376364610530.975488118176947
280.01440132084361640.02880264168723280.985598679156384
290.01042872809584540.02085745619169070.989571271904155
300.008459112595863630.01691822519172730.991540887404136
310.005248684357623070.01049736871524610.994751315642377
320.003955221792973790.007910443585947590.996044778207026
330.002618767076096370.005237534152192750.997381232923904
340.005493682342737580.01098736468547520.994506317657262
350.006695413758028420.01339082751605680.993304586241972
360.00413633095070230.00827266190140460.995863669049298
370.002513750126713460.005027500253426920.997486249873286
380.001704870995556420.003409741991112840.998295129004444
390.001645629363046540.003291258726093090.998354370636953
400.001034164547553640.002068329095107290.998965835452446
410.001893749619090720.003787499238181450.998106250380909
420.00113037533295430.002260750665908590.998869624667046
430.0009447444063203170.001889488812640630.99905525559368
440.0006338985697359180.001267797139471840.999366101430264
450.001916878852352370.003833757704704740.998083121147648
460.001165252702971670.002330505405943340.998834747297028
470.000981867177560240.001963734355120480.99901813282244
480.0005927755079494880.001185551015898980.999407224492051
490.0004080640113067160.0008161280226134320.999591935988693
500.0003401573294973130.0006803146589946250.999659842670503
510.0002932781177821210.0005865562355642410.999706721882218
520.000193191130544660.000386382261089320.999806808869455
530.0001267268646100930.0002534537292201870.99987327313539
547.1385788472583e-050.0001427715769451660.999928614211527
554.51255324285961e-059.02510648571922e-050.999954874467571
562.88017235918781e-055.76034471837562e-050.999971198276408
574.20815846546635e-058.4163169309327e-050.999957918415345
585.16758158852697e-050.0001033516317705390.999948324184115
593.86958638868132e-057.73917277736264e-050.999961304136113
602.24125385952668e-054.48250771905336e-050.999977587461405
611.48050639217698e-052.96101278435396e-050.999985194936078
628.94898752457351e-061.7897975049147e-050.999991051012475
637.18985442763894e-061.43797088552779e-050.999992810145572
644.09458931410261e-068.18917862820523e-060.999995905410686
653.15285308700169e-066.30570617400339e-060.999996847146913
662.09189456666272e-064.18378913332543e-060.999997908105433
674.72895558433223e-069.45791116866447e-060.999995271044416
682.76278216706969e-055.52556433413939e-050.999972372178329
692.80104621828526e-055.60209243657053e-050.999971989537817
700.0001005777679582310.0002011555359164630.999899422232042
710.00014828795531330.00029657591062660.999851712044687
720.0001226380497538610.0002452760995077210.999877361950246
730.0001172913380240460.0002345826760480910.999882708661976
747.40686189126702e-050.000148137237825340.999925931381087
755.58264613211227e-050.0001116529226422450.999944173538679
765.83236737217759e-050.0001166473474435520.999941676326278
773.73541938371202e-057.47083876742404e-050.999962645806163
780.1432667053018660.2865334106037310.856733294698134
790.1265578669778560.2531157339557120.873442133022144
800.1053001102484510.2106002204969020.894699889751549
810.09401341802986690.1880268360597340.905986581970133
820.1636647328725310.3273294657450630.836335267127469
830.183550031601470.3671000632029390.81644996839853
840.1547664399868530.3095328799737070.845233560013147
850.1390122646721580.2780245293443160.860987735327842
860.116749459849730.233498919699460.88325054015027
870.1047155197257920.2094310394515840.895284480274208
880.1017600117795980.2035200235591970.898239988220402
890.1263712961731070.2527425923462140.873628703826893
900.1424095547641720.2848191095283440.857590445235828
910.1311510515124990.2623021030249970.868848948487501
920.1613315361843270.3226630723686540.838668463815673
930.190806090967610.3816121819352210.80919390903239
940.1605230003428980.3210460006857960.839476999657102
950.1625296224772830.3250592449545660.837470377522717
960.1804789298884680.3609578597769360.819521070111532
970.1684351360753020.3368702721506050.831564863924698
980.1961056837020810.3922113674041630.803894316297919
990.3119578034838840.6239156069677690.688042196516116
1000.2766338410229250.5532676820458490.723366158977075
1010.2803195300266190.5606390600532390.719680469973381
1020.2679004696957570.5358009393915150.732099530304243
1030.2293976038020650.458795207604130.770602396197935
1040.2002153397914850.4004306795829710.799784660208515
1050.1762168948547370.3524337897094740.823783105145263
1060.1934570034055360.3869140068110710.806542996594464
1070.1679263012245370.3358526024490740.832073698775463
1080.1415900603562870.2831801207125740.858409939643713
1090.2659712409704680.5319424819409360.734028759029532
1100.423688531844830.847377063689660.57631146815517
1110.3809811607910220.7619623215820450.619018839208978
1120.3885802607373490.7771605214746980.611419739262651
1130.3384486201318180.6768972402636350.661551379868182
1140.306109567308590.6122191346171790.69389043269141
1150.2654735689403120.5309471378806230.734526431059688
1160.3639548858633740.7279097717267480.636045114136626
1170.3390958288180930.6781916576361870.660904171181907
1180.2888327157639220.5776654315278450.711167284236078
1190.2542340760840130.5084681521680260.745765923915987
1200.2097798678223240.4195597356446470.790220132177676
1210.4664905004757880.9329810009515750.533509499524212
1220.4345698391150590.8691396782301190.565430160884941
1230.4664315419518130.9328630839036270.533568458048187
1240.6401323837303490.7197352325393010.359867616269651
1250.5817913348861470.8364173302277070.418208665113854
1260.5277536663006830.9444926673986330.472246333699317
1270.4662551768843750.9325103537687490.533744823115625
1280.6940184064893520.6119631870212950.305981593510648
1290.6689446314929080.6621107370141850.331055368507092
1300.6170633529636130.7658732940727730.382936647036387
1310.9282299205868290.1435401588263420.0717700794131711
1320.9052813523741010.1894372952517980.0947186476258992
1330.8718180113856160.2563639772287680.128181988614384
1340.8415257317219550.316948536556090.158474268278045
1350.8002699042988250.399460191402350.199730095701175
1360.9998535820216890.0002928359566228690.000146417978311434
1370.9999660260169856.79479660306453e-053.39739830153227e-05
1380.9999952140054119.57198917729991e-064.78599458864996e-06
1390.9999817561743133.64876513738477e-051.82438256869239e-05
1400.9999545882828369.08234343289428e-054.54117171644714e-05
1410.9999755359475934.89281048141514e-052.44640524070757e-05
1420.9998991376153110.0002017247693783440.000100862384689172
1430.9999531629447869.36741104273065e-054.68370552136532e-05
1440.9999999999973925.21541250386478e-122.60770625193239e-12
1450.9999999993333431.33331337658456e-096.66656688292279e-10
14611.5018418884046e-467.50920944202298e-47


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level550.426356589147287NOK
5% type I error level620.48062015503876NOK
10% type I error level630.488372093023256NOK