Multiple Linear Regression - Estimated Regression Equation
time_in_rfc[t] = + 1248.53034598561 + 672.488712428693logins[t] + 830.712096659984blogged_computations[t] + 388.222182540594feedback_messages_p120[t] + 0.478510546568482totsize[t] + 40.6794347690064`tothyperlinks `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1248.530345985616206.2844750.20120.8408860.420443
logins672.488712428693122.9728795.468600
blogged_computations830.712096659984236.2985623.51550.0006090.000305
feedback_messages_p120388.222182540594139.0698142.79160.0060560.003028
totsize0.4785105465684820.1761852.7160.0075290.003765
`tothyperlinks `40.6794347690064186.1187580.21860.8273380.413669


Multiple Linear Regression - Regression Statistics
Multiple R0.824503590284114
R-squared0.679806170391395
Adjusted R-squared0.667200114107591
F-TEST (value)53.9269502758631
F-TEST (DF numerator)5
F-TEST (DF denominator)127
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation25407.0625363131
Sum Squared Residuals81980890993.964


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110164584322.699040451617322.3009595484
210101178791.490573252122219.5094267479
3717613361.7589650403-6185.75896504035
496560114915.78544986-18355.7854498603
5175824172432.6743532983391.32564670222
6341570284122.60260792957447.3973920712
710359784058.611231039919538.3887689601
8112611110105.2588529552505.74114704515
98557482064.2070302333509.79296976699
10220801142448.82236008778352.1776399125
1192661109861.316687392-17200.3166873916
12133328128755.9598091214572.04019087944
136136192624.606321174-31263.606321174
14125930125797.657551394132.342448605549
158231671127.038994579711188.9610054203
1610201099503.14169744022506.85830255985
17101523144628.65626046-43105.6562604602
184156641807.4499261587-241.449926158721
1999923130178.511886996-30255.5118869957
202264857057.5677119433-34409.5677119433
214669861444.2523722188-14746.2523722188
22131698152281.946222244-20583.9462222442
239173558159.268606447733575.7313935523
247986384102.5263544303-4239.52635443029
25108043113238.470109147-5195.47010914746
269886662548.898967386236317.1010326138
27120445159219.424974963-38774.4249749632
28116048123787.234716031-7739.23471603067
29250047155560.55514492894486.4448550719
3013608474384.438458552361699.5615414477
319249975982.106916104216516.8930838959
3213578189763.714060713146017.2859392869
337440896755.1773702223-22347.1773702223
3481240135549.705637233-54309.705637233
3513336896315.476709335837052.5232906642
369814673072.028144788625073.9718552114
377961989161.6575232667-9542.65752326672
385919473132.5851466869-13938.5851466869
39139942142786.331908639-2844.33190863945
40118612111789.7645565816822.23544341931
417288073627.7324178382-747.732417838225
426547579964.7629968673-14489.7629968673
4399643112291.342360896-12648.3423608962
447196598621.1676430895-26656.1676430895
457727291916.5884706132-14644.5884706132
464928949691.9237860207-402.923786020678
47135131118444.26820650316686.7317934975
48108446108320.66469348125.335306519663
498974683464.02239388866281.97760611136
504429650594.4148310829-6298.41483108295
517764890157.5363579831-12509.5363579831
52181528108889.52701093972638.4729890609
53134019100179.05626777333839.9437322272
54124064109846.62377005214217.3762299483
559263070014.366060388722615.6339396113
5612184894706.899686480327141.1003135197
575291558845.2906825932-5930.29068259325
588187296067.1545194257-14195.1545194257
595898170162.6440176841-11181.6440176841
605351562517.6979286979-9002.6979286979
616081280948.9850027153-20136.9850027153
625637565916.6270869558-9541.62708695577
636549064228.79506861031261.20493138971
648094952764.275471940528184.7245280595
657630288831.5625545956-12529.5625545955
66104011121689.68013617-17678.6801361696
6798104116499.287931797-18395.2879317975
686798974055.8732626364-6066.87326263643
693098932965.8517065111-1976.8517065111
70135458114783.89545093320674.1045490667
717350463209.176900119310294.8230998807
7263123103814.131262682-40691.1312626819
736125481975.5414478835-20721.5414478835
7474914113918.067500213-39004.0675002134
753177436944.6825056867-5170.68250568669
768143788208.148858384-6771.148858384
7787186106144.819778836-18958.8197788361
785009052900.7404889773-2810.74048897726
796574595051.8456785353-29306.8456785353
805665396583.7288851541-39930.7288851541
8115839985687.411079175372711.5889208247
824645544443.00431289222011.99568710781
837362468511.40814061365112.59185938643
843839561301.7313620183-22906.7313620183
859189971699.522025328620199.4779746714
86139526182416.206237499-42890.2062374994
875216488803.4217335279-36639.4217335279
885156771055.8739931602-19488.8739931602
897055175621.4603341437-5070.46033414368
908485682998.26728532361857.73271467641
91102538122592.21505584-20054.2150558396
928667872252.095886444614425.9041135554
938570980575.48628393935133.51371606068
943466254432.9481301554-19770.9481301554
95150580126505.3583956924074.6416043101
9699611108631.797070394-9020.79707039419
971934921878.4741049314-2529.47410493136
989937392257.45403492057115.54596507945
998623079179.5799527897050.42004721104
1003083723662.37388449687174.6261155032
1013170654381.8946184123-22675.8946184123
1028980681651.09141506758154.90858493254
1036208859732.54363980872355.45636019129
1044015148269.2380528193-8118.2380528193
1052763425875.56727678991758.43272321007
1067699093450.9676076165-16460.9676076165
1073746026279.045230345711180.9547696543
1085415766866.9063858282-12709.9063858282
1094986279908.0098917125-30046.0098917125
1108433777302.40665382427034.59334617583
1116417595433.4684444998-31258.4684444998
1125938282087.5163577767-22705.5163577767
11311930883362.005291794735945.9947082053
11476702105247.388955481-28545.3889554812
11510342592556.994536877110868.0054631229
1167034475059.1463303295-4715.14633032947
1174341022376.884371148421033.1156288516
118104838108380.416662774-3542.41666277415
1196221559459.00291213652755.99708786349
1206930481953.4846686183-12649.4846686183
1215311746763.27714654896353.72285345105
1221976422337.5916034441-2573.59160344412
1238668084225.62924943152454.37075056851
1248410564258.037531413719846.9624685863
1257794577363.7899767457581.210023254288
1268911395832.2564951321-6719.2564951321
1279100570500.833550228120504.1664497719
1284024824220.689820041616027.3101799584
1296418758808.89917812155378.10082187849
1305085760850.0955777721-9993.09557777206
1315661344562.320750188112050.6792498119
1326279285552.1443206292-22760.1443206292
1337253550374.583901001522160.4160989985


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.04649216278996610.09298432557993220.953507837210034
100.5990070417598080.8019859164803840.400992958240192
110.4693007339789990.9386014679579980.530699266021001
120.3782943189450230.7565886378900460.621705681054977
130.2782108940948160.5564217881896310.721789105905184
140.5898456644248340.8203086711503330.410154335575166
150.4879137354004770.9758274708009540.512086264599523
160.4912583246125930.9825166492251850.508741675387407
170.9106226500562280.1787546998875440.0893773499437718
180.8729773826871710.2540452346256580.127022617312829
190.8485885920216540.3028228159566920.151411407978346
200.8934772047046040.2130455905907910.106522795295396
210.8599189389243330.2801621221513340.140081061075667
220.8604874785847720.2790250428304570.139512521415228
230.8837391849503810.2325216300992380.116260815049619
240.847874772613340.3042504547733210.15212522738666
250.803311379196930.3933772416061410.19668862080307
260.8041521120187240.3916957759625520.195847887981276
270.9095577714843140.1808844570313720.0904422285156862
280.8892010475144970.2215979049710060.110798952485503
290.9966782986452130.006643402709574410.00332170135478721
300.9994343838868120.001131232226375040.000565616113187522
310.9992250102309920.001549979538015530.000774989769007764
320.9997907240515870.0004185518968257610.000209275948412881
330.9997596857027620.0004806285944752730.000240314297237637
340.9998798386074090.0002403227851819660.000120161392590983
350.9999082947796530.0001834104406945889.17052203472938e-05
360.999885834434150.0002283311316994190.000114165565849709
370.9998109326056720.0003781347886562960.000189067394328148
380.9998247885335220.0003504229329558810.00017521146647794
390.9998263481270490.0003473037459025020.000173651872951251
400.9997804378238610.0004391243522783190.00021956217613916
410.9996451053457280.000709789308543390.000354894654271695
420.9997538471831020.0004923056337961980.000246152816898099
430.9996837401572620.0006325196854762950.000316259842738147
440.9997435928788910.0005128142422173730.000256407121108686
450.9996444472506740.0007111054986510890.000355552749325545
460.9994290640252570.001141871949486010.000570935974743004
470.9992793282431620.001441343513675530.000720671756837767
480.9988797213368390.002240557326321810.00112027866316091
490.9983284275225450.003343144954909840.00167157247745492
500.9975754615422570.004849076915485820.00242453845774291
510.9966974416701260.00660511665974740.0033025583298737
520.9999210934721290.0001578130557410677.89065278705337e-05
530.9999608486507117.8302698578498e-053.9151349289249e-05
540.9999492949788570.0001014100422864035.07050211432016e-05
550.9999489932142540.0001020135714928775.10067857464387e-05
560.9999671719495326.56561009351202e-053.28280504675601e-05
570.9999459031583750.000108193683250365.40968416251802e-05
580.9999203353880030.0001593292239937337.96646119968664e-05
590.9998862007790320.0002275984419366560.000113799220968328
600.9998431611341370.0003136777317259050.000156838865862953
610.9998146213376520.0003707573246964430.000185378662348222
620.9997206321035320.0005587357929363570.000279367896468179
630.999554049189530.0008919016209397970.000445950810469899
640.9995681017678050.0008637964643899380.000431898232194969
650.999377064991040.001245870017920720.000622935008960359
660.9991555400508210.001688919898358180.000844459949179089
670.998893850677910.002212298644179330.00110614932208966
680.9983292505557620.003341498888476120.00167074944423806
690.9976777570103420.004644485979315850.00232224298965793
700.998640294377830.002719411244339440.00135970562216972
710.9983738867232410.003252226553517750.00162611327675888
720.9989122380786710.002175523842657240.00108776192132862
730.9985521495530610.002895700893878530.00144785044693926
740.9993135136315960.001372972736806930.000686486368403463
750.9992806032230910.001438793553817710.000719396776908857
760.9988818561706680.002236287658663380.00111814382933169
770.998472034836220.003055930327559770.00152796516377989
780.9977575299446930.004484940110614950.00224247005530748
790.9976702824326740.004659435134651870.00232971756732594
800.9987183408739630.002563318252072910.00128165912603646
810.9999928868592111.42262815774665e-057.11314078873323e-06
820.9999874425707572.51148584866666e-051.25574292433333e-05
830.9999783943042314.3211391538519e-052.16056957692595e-05
840.9999817701220193.64597559609406e-051.82298779804703e-05
850.9999860203134732.79593730546116e-051.39796865273058e-05
860.9999896510878132.06978243740918e-051.03489121870459e-05
870.9999977314653164.53706936722262e-062.26853468361131e-06
880.9999976517489764.69650204705967e-062.34825102352984e-06
890.9999951673401429.66531971572967e-064.83265985786484e-06
900.9999920144615291.59710769420141e-057.98553847100706e-06
910.9999860632000662.78735998684305e-051.39367999342152e-05
920.9999752066762094.9586647582818e-052.4793323791409e-05
930.9999580788066468.38423867089726e-054.19211933544863e-05
940.9999312564779980.0001374870440041776.87435220020886e-05
950.9999539940725489.20118549030498e-054.60059274515249e-05
960.9999133567432140.0001732865135719428.66432567859711e-05
970.9998449079681320.000310184063735740.00015509203186787
980.9997152319345940.0005695361308123480.000284768065406174
990.999488211167070.001023577665859050.000511788832929527
1000.9990822456287940.001835508742412170.000917754371206084
1010.9991705974918620.001658805016275320.000829402508137659
1020.9987390406725820.00252191865483620.0012609593274181
1030.9977514717454740.004497056509052690.00224852825452635
1040.9967634592522550.006473081495489260.00323654074774463
1050.9953654376579260.009269124684147570.00463456234207378
1060.9935872815361050.01282543692779080.00641271846389539
1070.9894449675609250.02111006487814980.0105550324390749
1080.9855154689210680.02896906215786370.0144845310789319
1090.9905511315080570.01889773698388580.00944886849194292
1100.986137540827970.0277249183440610.0138624591720305
1110.9922243474786640.01555130504267210.00777565252133606
1120.9909174115124580.01816517697508460.00908258848754229
1130.998136691985320.003726616029359760.00186330801467988
1140.9982614467954770.003477106409046930.00173855320452346
1150.9969778367123880.006044326575224560.00302216328761228
1160.9943144730871410.01137105382571860.00568552691285929
1170.9897665337363930.02046693252721350.0102334662636068
1180.9807263151460190.03854736970796150.0192736848539807
1190.961242495347070.07751500930585950.0387575046529297
1200.9633100113581340.07337997728373160.0366899886418658
1210.9251984737372060.1496030525255890.0748015262627945
1220.9240134358778520.1519731282442970.0759865641221484
1230.8498576206990370.3002847586019270.150142379300963
1240.8718324846369090.2563350307261820.128167515363091


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level800.689655172413793NOK
5% type I error level900.775862068965517NOK
10% type I error level930.801724137931034NOK