Multiple Linear Regression - Estimated Regression Equation
feedback_messages_p120[t] = -7.87852967473048 + 0.00286725100458269pageviews[t] + 9.15953588536965e-05time_in_rfc[t] -0.00479299251481106logins[t] -0.0123533886214compendium_views_info[t] -0.00529940030255239compendium_views_pr[t] + 0.309724208611715shared_compendiums[t] + 0.0193952976695659blogged_computations[t] -0.594995175274595compendiums_reviewed[t] + 0.913432155645361feedback_messages_p1[t] + 5.29321002118165e-05totsize[t] + 0.000859207849576002totrevisions[t] -0.000122654721309424totseconds[t] + 0.466089312965004tothyperlinks[t] -0.566708673239329totblogs[t] + 0.102108947341105I1[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-7.878529674730485.586666-1.41020.1604480.080224
pageviews0.002867251004582690.0052390.54730.5849690.292484
time_in_rfc9.15953588536965e-054.2e-052.19420.0296920.014846
logins-0.004792992514811060.036648-0.13080.8961130.448056
compendium_views_info-0.01235338862140.012405-0.99590.3208450.160422
compendium_views_pr-0.005299400302552390.0209-0.25360.8001630.400082
shared_compendiums0.3097242086117150.3968380.78050.4362830.218142
blogged_computations0.01939529766956590.0730640.26550.7910060.395503
compendiums_reviewed-0.5949951752745950.671258-0.88640.3767640.188382
feedback_messages_p10.9134321556453610.1740055.249400
totsize5.29321002118165e-054.1e-051.27870.2029010.101451
totrevisions0.0008592078495760020.0002144.01329.3e-054.6e-05
totseconds-0.0001226547213094246.3e-05-1.95740.052070.026035
tothyperlinks0.4660893129650040.2611911.78450.0762770.038139
totblogs-0.5667086732393290.273455-2.07240.0398630.019931
I10.1021089473411050.2443470.41790.6766030.338301


Multiple Linear Regression - Regression Statistics
Multiple R0.952772889707248
R-squared0.9077761793611
Adjusted R-squared0.898964986306427
F-TEST (value)103.025342167456
F-TEST (DF numerator)15
F-TEST (DF denominator)157
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.6684431346801
Sum Squared Residuals21375.9527344002


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19494.4229790913553-0.422979091355276
210387.158388817322615.8416111826774
393118.931669490933-25.9316694909332
49193.23823071756-2.23823071756005
59390.77650376295752.22349623704247
66077.3240185320836-17.3240185320836
7123110.65836307861712.3416369213828
89075.873751498469614.1262485015304
9168158.3863428295569.61365717044404
10115102.80455391453112.1954460854689
117198.3193161622507-27.3193161622507
126675.747086909818-9.74708690981807
13117122.53221520852-5.53221520852022
1410893.245498026217514.7545019737824
158475.04193738952058.95806261047946
16120110.7624364679829.23756353201829
17114100.92801498008613.0719850199141
189496.3107246866638-2.3107246866638
19120109.19570852774610.8042914722539
208173.69352760143197.30647239856812
21133125.086401559967.91359844004023
22122117.292863030484.70713696952043
23124118.3466894467335.65331055326708
24126121.2268106979564.77318930204379
250-5.34255641532545.3425564153254
263739.161098361958-2.16109836195802
273840.4194268952133-2.41942689521329
28120112.4489027338357.55109726616494
2995103.182961207281-8.18296120728072
307772.37302476170554.62697523829447
319084.68381427420865.31618572579142
328086.4972222465924-6.49722224659242
33110111.358184263863-1.35818426386325
34138119.34404666339718.655953336603
3510098.64712664015251.35287335984754
3673.907326727243143.09267327275686
37140121.92595180143918.0740481985615
389696.610969886787-0.610969886786888
39164145.84325623957118.1567437604289
407880.0219701892653-2.02197018926535
414947.02971605256781.97028394743218
42124116.1080811189437.89191888105681
436289.8368787666786-27.8368787666786
449998.71364623634360.286353763656377
457083.7103965393217-13.7103965393217
4610488.026114098073715.9738859019263
47116114.7482961138741.25170388612578
489186.81952168499884.18047831500123
496765.93360164019421.06639835980575
507285.3513671834176-13.3513671834176
51120106.17468265686713.8253173431335
5210595.56800290934569.43199709065442
53104113.622963713314-9.62296371331422
549898.7196011991024-0.719601199102352
55111135.055985081176-24.0559850811756
567167.89600105833153.10399894166853
576967.62212008277031.37787991722969
58107103.0833663718143.91663362818564
597359.626792504553113.3732074954469
60107101.3188040004535.6811959995469
61129127.7209040321571.27909596784346
62118105.94366505943312.0563349405666
637371.03281020786771.96718979213229
64119101.44994779036917.5500522096313
65104108.601292637225-4.60129263722501
6610795.668481625082411.3315183749176
6790101.865203131074-11.8652031310737
68197176.13556659343320.8644334065666
693660.6790229229748-24.6790229229747
708592.211370552925-7.21137055292494
71139147.60881517059-8.60881517059007
72106101.2810726512754.71892734872465
735095.5837898280844-45.5837898280844
746397.6152234230977-34.6152234230977
756366.9290845823461-3.9290845823461
766978.2499845944294-9.24998459442944
774130.942457308313610.0575426916864
785667.7186364067871-11.7186364067871
792526.48552990576-1.48552990575998
809392.3588673586480.641132641352057
814440.88755561737763.11244438262239
828777.22122295642929.77877704357084
83110131.250546255428-21.2505462554277
840-6.225135409453016.22513540945301
8583102.923970984227-19.9239709842268
868080.380014247523-0.380014247523052
8798116.716762547845-18.716762547845
888287.8622822827036-5.86228228270361
890-5.388494992146725.38849499214672
906072.608707778221-12.608707778221
912825.797600601552.20239939845005
92912.6089716082851-3.60897160828508
933336.2775308853146-3.27753088531456
945960.717264055892-1.71726405589204
95115104.23821378890410.7617862110961
96120119.7043876340510.29561236594872
976668.0597583420858-2.05975834208583
98152139.14835765112212.8516423488783
99139136.0716135835292.92838641647073
1003841.0849459588606-3.08494595886057
101144143.5794756912170.420524308783085
102160158.071030008671.92896999133022
10311497.816045032904216.1839549670958
104119108.28310731188410.716892688116
10510191.95571224494259.04428775505748
1065652.70940091470333.29059908529668
107133128.1016247990974.89837520090327
1088384.4707883311924-1.47078833119239
109116109.0505898327336.94941016726659
1105058.0933118218633-8.09331182186326
1116170.6685233081738-9.66852330817384
11297104.208968404829-7.20896840482879
1139893.33902020954044.66097979045964
1147870.120997046657.87900295335003
115117137.17023949421-20.1702394942096
1165555.6716035635045-0.671603563504502
117132123.359282418968.64071758103994
1184439.84644728536994.15355271463008
1192122.0338673555297-1.03386735552974
1205051.1048438106847-1.10484381068471
1217387.5280922377314-14.5280922377314
12286113.907336562728-27.9073365627278
1234884.0687186517401-36.0687186517401
1244858.5802274847863-10.5802274847863
1256862.08804515007735.91195484992265
1268777.1246950574729.87530494252806
1274337.02488839373755.97511160626245
1286762.4573538548184.54264614518201
1294640.56410371467235.43589628532766
1305643.593911426522712.4060885734773
1316052.33364259031237.66635740968769
1326559.25123153893235.74876846106768
1336053.36054931354676.63945068645327
1345454.2976577713667-0.297657771366705
1355251.34189997406480.658100025935177
1366152.71033063090688.28966936909325
1376170.9912721691401-9.99127216914013
1388168.068750260425512.9312497395745
1394037.6354591346912.36454086530897
1404048.6285296004983-8.62852960049832
1416858.82986142598349.1701385740166
1427973.84714859341085.1528514065892
1434747.1350861253626-0.135086125362605
1444148.3616827484607-7.36168274846072
1452934.8961357079225-5.89613570792247
1466051.26154528064068.73845471935941
1477971.26533900220697.7346609977931
1484748.0914437079892-1.09144370798917
1494043.2143067879514-3.21430678795143
1504259.0661219712427-17.0661219712427
1514954.3634109396547-5.3634109396547
1525761.7725564039493-4.77255640394933
1534047.3766781144604-7.37667811446037
1543347.4992957131649-14.4992957131649
1557773.77052279091463.22947720908545
1564544.22812364393960.771876356060367
1574546.275231175167-1.27523117516704
1585044.83366376095655.16633623904354
1597168.70967105005152.29032894994855
1606762.55345526585484.44654473414522
1616258.8440779252453.15592207475499
1625445.80676094987268.19323905012745
16347.08126928061566-3.08126928061566
1642520.6220366874014.37796331259901
1654051.3377468258189-11.3377468258189
1665952.9980050322886.00199496771198
1672424.5849329618588-0.584932961858789
1685849.99203784000538.0079621599947
1694248.3371028399984-6.33710283999839
17041.76930385059642.2306961494036
1716350.089412983977412.9105870160226
1725448.2740454144445.72595458555597
1733950.3199127160688-11.3199127160688


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.9984690612170050.003061877565990880.00153093878299544
200.9960039895546520.00799202089069570.00399601044534785
210.991266616852680.01746676629464090.00873338314732043
220.9858427538989380.02831449220212390.0141572461010619
230.987168124304930.02566375139013810.012831875695069
240.9793482986332290.04130340273354170.0206517013667709
250.967028574273320.06594285145336010.03297142572668
260.9530937332719140.0938125334561720.046906266728086
270.9359781948147130.1280436103705730.0640218051852865
280.9085932164496070.1828135671007870.0914067835503934
290.8888682462776860.2222635074446280.111131753722314
300.867955504674880.264088990650240.13204449532512
310.8286979856111990.3426040287776020.171302014388801
320.7796802992089060.4406394015821880.220319700791094
330.7246108198149460.5507783603701090.275389180185054
340.7889673254105120.4220653491789760.211032674589488
350.736524070438670.5269518591226590.26347592956133
360.6798117230337040.6403765539325920.320188276966296
370.6876907434152540.6246185131694920.312309256584746
380.6273665898864680.7452668202270640.372633410113532
390.6594016475892020.6811967048215950.340598352410798
400.6277966109231590.7444067781536820.372203389076841
410.5699007000495820.8601985999008370.430099299950418
420.564618962030260.870762075939480.43538103796974
430.6759524291413270.6480951417173470.324047570858673
440.6209700695299050.758059860940190.379029930470095
450.6628886355916580.6742227288166840.337111364408342
460.6824030180945870.6351939638108270.317596981905413
470.6497313973231420.7005372053537170.350268602676858
480.597783167136480.804433665727040.40221683286352
490.5473543976881410.9052912046237170.452645602311859
500.5802333917696770.8395332164606460.419766608230323
510.5654027657256620.8691944685486770.434597234274338
520.5490398869561170.9019202260877660.450960113043883
530.5944496036341520.8111007927316960.405550396365848
540.5665516154922210.8668967690155590.433448384507779
550.7386602267168310.5226795465663380.261339773283169
560.724399173619580.5512016527608410.27560082638042
570.6811211314091940.6377577371816110.318878868590806
580.6503625248986310.6992749502027380.349637475101369
590.6547206291917470.6905587416165060.345279370808253
600.6083646186195970.7832707627608050.391635381380402
610.558452933934040.8830941321319210.44154706606596
620.5540208951772660.8919582096454680.445979104822734
630.5082917767741730.9834164464516530.491708223225827
640.5818455417142090.8363089165715820.418154458285791
650.5584727002817270.8830545994365470.441527299718273
660.5585315240959260.8829369518081490.441468475904074
670.5700925716951190.8598148566097610.429907428304881
680.734069409931340.5318611801373190.265930590068659
690.8747540826193990.2504918347612020.125245917380601
700.8655844291763620.2688311416472750.134415570823638
710.8504989568019120.2990020863961760.149501043198088
720.8240129973327130.3519740053345750.175987002667287
730.9950680109673220.009863978065355980.00493198903267799
740.999865597667810.0002688046643815450.000134402332190772
750.999798125662860.0004037486742818540.000201874337140927
760.9999059541359010.0001880917281972719.40458640986354e-05
770.999928118335950.0001437633281002287.18816640501138e-05
780.9999410828505040.0001178342989923635.89171494961814e-05
790.9999055061752160.0001889876495684879.44938247842434e-05
800.9998500838073580.0002998323852849140.000149916192642457
810.9997718112815380.0004563774369246010.0002281887184623
820.999715453375730.0005690932485401220.000284546624270061
830.999850906211810.0002981875763797050.000149093788189852
840.9997993168362610.0004013663274773070.000200683163738654
850.9999356624902020.000128675019594946.433750979747e-05
860.999896431543290.0002071369134218730.000103568456710936
870.9999291074649080.0001417850701845147.08925350922568e-05
880.9999108836292170.000178232741566898.91163707834449e-05
890.9998675632625310.0002648734749375690.000132436737468784
900.999853112085070.0002937758298588470.000146887914929424
910.999775016510480.0004499669790399880.000224983489519994
920.9996625285468050.0006749429063898190.000337471453194909
930.9994954513545880.001009097290823750.000504548645411876
940.9992803188517190.001439362296562720.000719681148281361
950.9995381452822450.0009237094355094270.000461854717754714
960.9992981243822860.001403751235428850.000701875617714424
970.9990786766408050.001842646718390170.000921323359195086
980.999188719344850.001622561310301190.000811280655150593
990.99907204967490.001855900650201420.000927950325100708
1000.9986146248771930.002770750245614730.00138537512280737
1010.9979696720041170.004060655991766360.00203032799588318
1020.9974629820754930.005074035849014980.00253701792450749
1030.9982083439858470.003583312028305440.00179165601415272
1040.998682182386460.002635635227079540.00131781761353977
1050.9988491976538120.002301604692376030.00115080234618801
1060.9983841882090660.003231623581867290.00161581179093364
1070.9985262390630330.002947521873933440.00147376093696672
1080.9980410925595870.003917814880825580.00195890744041279
1090.9972763681151550.005447263769690670.00272363188484534
1100.9962069075282950.007586184943409790.0037930924717049
1110.9963867580869890.007226483826022810.0036132419130114
1120.9950682443591970.009863511281606160.00493175564080308
1130.9928854780617320.01422904387653510.00711452193826754
1140.997426542762110.005146914475779010.00257345723788951
1150.9981940378164640.00361192436707250.00180596218353625
1160.9971975282438180.005604943512363880.00280247175618194
1170.9968065463815170.006386907236966960.00319345361848348
1180.9966724582775780.006655083444843630.00332754172242182
1190.995066903723850.009866192552300170.00493309627615009
1200.9956997366930630.008600526613873050.00430026330693653
1210.9965937406077870.006812518784425250.00340625939221263
1220.9991934849823870.001613030035226730.000806515017613363
1230.9998091162213430.0003817675573138740.000190883778656937
1240.9997109457114570.000578108577084960.00028905428854248
1250.9999119774472740.0001760451054512628.8022552725631e-05
1260.9998514682714090.0002970634571818990.00014853172859095
1270.999746717439410.0005065651211793390.000253282560589669
1280.99956117398590.000877652028198770.000438826014099385
1290.9992472872460470.001505425507907040.00075271275395352
1300.9988536186501470.002292762699706960.00114638134985348
1310.9992655418885130.001468916222974440.00073445811148722
1320.9987959976294440.002408004741111660.00120400237055583
1330.9979112992990330.00417740140193470.00208870070096735
1340.9965019855856720.00699602882865660.0034980144143283
1350.9942170054279580.0115659891440840.00578299457204202
1360.9905488705140760.01890225897184840.0094511294859242
1370.9939884257292330.01202314854153490.00601157427076743
1380.9933816293865940.01323674122681230.00661837061340613
1390.990228408114430.01954318377113960.00977159188556982
1400.9848254764337650.03034904713247090.0151745235662354
1410.977597259816790.04480548036642250.0224027401832112
1420.972713872572990.05457225485402120.0272861274270106
1430.9601607727317740.07967845453645160.0398392272682258
1440.951462025363590.09707594927281940.0485379746364097
1450.9247862849626020.1504274300747950.0752137150373975
1460.987262041409580.0254759171808420.012737958590421
1470.9847033793721570.03059324125568670.0152966206278433
1480.9921274906452750.01574501870944910.00787250935472456
1490.9914817574842660.01703648503146790.00851824251573395
1500.9804850480950230.03902990380995440.0195149519049772
1510.957306381249070.0853872375018580.042693618750929
1520.9484267207412060.1031465585175880.0515732792587939
1530.9780064300773530.04398713984529380.0219935699226469
1540.9335833626619620.1328332746760770.0664166373380383


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level630.463235294117647NOK
5% type I error level810.595588235294118NOK
10% type I error level870.639705882352941NOK