Multiple Linear Regression - Estimated Regression Equation
ranking[t] = + 98.2238197624983 + 0.000185489443861005characters[t] -0.00123209164604539revisions[t] -24.9508546153155hours[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)98.22381976249831.50512165.259700
characters0.0001854894438610050.0001241.50130.1362860.068143
revisions-0.001232091646045390.001859-0.66280.5089310.254466
hours-24.95085461531551.055671-23.635100


Multiple Linear Regression - Regression Statistics
Multiple R0.963426272871928
R-squared0.928190183259895
Adjusted R-squared0.926138474210178
F-TEST (value)452.398542272744
F-TEST (DF numerator)3
F-TEST (DF denominator)105
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.59069115486819
Sum Squared Residuals7748.99732442472


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11-32.968425183066333.9684251830663
22-36.338557617221938.3385576172219
33-23.536122545441626.5361225454416
44-11.750298387727215.7502983877272
55-9.4138111103194914.4138111103195
662.197640341286913.80235965871309
772.715301196472124.28469880352788
886.634839770112551.36516022988745
9910.5709164866392-1.57091648663919
101012.4967705705106-2.49677057051061
111116.9822376596737-5.98223765967369
121217.987641874396-5.98764187439604
131321.8894633809986-8.88946338099863
141421.835691819141-7.83569181914103
151522.7827108106253-7.78271081062526
161624.4807074938194-8.48070749381942
171723.0777188237343-6.07771882373429
181825.5063103574156-7.50631035741555
191928.4646959251324-9.46469592513245
202028.6821074597307-8.68210745973074
212129.5177891925067-8.51778919250667
222233.7978292155933-11.7978292155933
232333.6449207966007-10.6449207966007
242432.3714961063545-8.37149610635447
252537.4939790362994-12.4939790362994
262641.289793409692-15.289793409692
272737.8079264432578-10.8079264432578
282838.704866484137-10.704866484137
292938.414627089782-9.41462708978202
303040.1796314184254-10.1796314184254
313140.0366517127753-9.03665171277526
323241.8726433004744-9.87264330047442
333340.5705398392177-7.57053983921769
343442.5255293113363-8.52552931133633
353543.6826228008361-8.68262280083611
363643.7317928657439-7.73179286574386
373744.2509188870442-7.25091888704418
383846.5758818086233-8.57588180862327
393945.8600663791701-6.86006637917008
404048.2787393623459-8.27873936234591
414147.5835572547572-6.58355725475718
424247.8095331989493-5.80953319894927
434348.5865054159668-5.58650541596685
444449.1048064002322-5.10480640023223
454549.8178330489183-4.81783304891835
464651.0716309421331-5.07163094213314
474751.9670705855999-4.96707058559995
484851.3652009326627-3.36520093266271
494951.8894780052914-2.88947800529141
505052.6047442215279-2.60474422152788
515153.1067741212251-2.10677412122511
525252.5233266343775-0.523326634377545
535353.4594303077291-0.459430307729053
545455.2156308392537-1.21563083925368
555555.8396925214111-0.839692521411068
565654.29503117778971.70496882221032
575755.48142252776041.51857747223957
585855.15091149619542.84908850380456
595957.09784061674641.90215938325357
606056.28394962591883.7160503740812
616156.49006635373934.50993364626075
626257.78154469126054.21845530873949
636358.03790036242864.96209963757144
646458.66364282061535.33635717938467
656559.1243524206485.87564757935204
666659.62466096048086.3753390395192
676764.48430144446182.51569855553817
686866.30909683819991.69090316180012
696966.37096827912722.62903172087283
707068.53360402603511.46639597396486
717170.54180837076060.458191629239398
727282.0722731601704-10.0722731601704
737373.2154696784101-0.215469678410102
747474.1879868775305-0.187986877530468
757576.6301941637334-1.63019416373339
767677.1980936256895-1.19809362568949
777777.301502423337-0.301502423336996
787877.90627524097560.0937247590244059
797978.9361092041230.0638907958770484
808078.92797781167321.07202218832684
818179.90951157595741.09048842404264
828279.94924584444562.05075415555437
838380.46248564592542.5375143540746
848480.16266826353983.83733173646018
858583.25264491555561.74735508444439
868683.47447176189682.52552823810321
878784.33122115295112.66877884704886
888884.27135848627683.72864151372321
898985.62180277683463.37819722316543
909085.52010381034164.47989618965843
919186.0750950156574.92490498434304
929287.01139441951424.98860558048578
939386.90965970486226.09034029513776
949488.21616399621045.78383600378958
959588.630863239966.36913676003996
969689.77489915534816.22510084465194
979792.0005972799014.99940272009896
989891.69735161117516.30264838882492
999993.57484275176825.42515724823185
10010095.67035925554664.32964074445337
10110197.15174009912213.84825990087789
10210296.63020895585125.36979104414876
10310396.97027627030246.02972372969755
10410497.48156324226546.51843675773462
10510599.59024243074035.40975756925965
10610698.42996486908897.57003513091112
10710799.34294391177277.65705608822726
10810898.22067995589189.77932004410823
10910999.16765638732419.83234361267591


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.008052661474351430.01610532294870290.991947338525649
80.002559977449929260.005119954899858520.997440022550071
90.001455944311619820.002911888623239640.99854405568838
100.002386789231278060.004773578462556120.997613210768722
110.002489190009853670.004978380019707350.997510809990146
120.002990386395207090.005980772790414180.997009613604793
130.002454921757524690.004909843515049390.997545078242475
140.00383491107039780.00766982214079560.996165088929602
150.00827968356691830.01655936713383660.991720316433082
160.01396700108723020.02793400217446040.98603299891277
170.03093978806822260.06187957613644520.969060211931777
180.04287325192162740.08574650384325470.957126748078373
190.07538011710450150.1507602342090030.924619882895498
200.1220964729286450.244192945857290.877903527071355
210.1856719459281680.3713438918563370.814328054071832
220.1828972674573770.3657945349147530.817102732542623
230.2296474484851430.4592948969702860.770352551514857
240.3374063717477870.6748127434955750.662593628252213
250.3461280554003050.6922561108006110.653871944599695
260.2993900924488880.5987801848977770.700609907551112
270.441536353247920.883072706495840.55846364675208
280.5711116809321280.8577766381357440.428888319067872
290.7042445626535570.5915108746928860.295755437346443
300.8173602724281520.3652794551436960.182639727571848
310.9057423198868170.1885153602263660.0942576801131828
320.9298544993093670.1402910013812660.0701455006906331
330.969527991439660.06094401712067980.0304720085603399
340.9868274527951480.02634509440970310.0131725472048515
350.9945217202563920.0109565594872170.00547827974360852
360.9980102482597160.003979503480568730.00198975174028436
370.9993083019435110.001383396112977720.00069169805648886
380.9997319140011550.0005361719976894610.000268085998844731
390.9999298245962010.0001403508075987387.01754037993689e-05
400.9999753818323084.92363353840052e-052.46181676920026e-05
410.9999942014501921.15970996162421e-055.79854980812103e-06
420.9999985847549882.83049002489565e-061.41524501244782e-06
430.9999997190971155.61805770249032e-072.80902885124516e-07
440.9999999398202971.2035940683359e-076.01797034167951e-08
450.9999999837205043.25589912046348e-081.62794956023174e-08
460.9999999966731166.65376753125172e-093.32688376562586e-09
470.9999999989238572.15228577009154e-091.07614288504577e-09
480.9999999996722576.55485752615456e-103.27742876307728e-10
490.9999999999175121.64976183678113e-108.24880918390566e-11
500.9999999999727545.44915132225426e-112.72457566112713e-11
510.9999999999877652.44701723773443e-111.22350861886721e-11
520.9999999999934021.31968570204296e-116.59842851021479e-12
530.9999999999957048.59102722139765e-124.29551361069882e-12
540.9999999999955648.87239703420445e-124.43619851710223e-12
550.9999999999946471.07061965291709e-115.35309826458543e-12
560.9999999999958588.28440767918466e-124.14220383959233e-12
570.9999999999962247.5515445417298e-123.7757722708649e-12
580.9999999999972795.44172037863012e-122.72086018931506e-12
590.999999999997185.6390747614023e-122.81953738070115e-12
600.9999999999981993.60299630969646e-121.80149815484823e-12
610.999999999998912.1806701515441e-121.09033507577205e-12
620.9999999999992721.45586526457881e-127.27932632289403e-13
630.9999999999997075.85013723736123e-132.92506861868061e-13
640.9999999999999539.34894501040361e-144.6744725052018e-14
650.9999999999999991.48525571973571e-157.42627859867854e-16
6611.36320836009667e-186.81604180048334e-19
6717.91577847423699e-193.95788923711849e-19
6814.4002529387591e-192.20012646937955e-19
6916.30453866059623e-203.15226933029811e-20
7012.03879138383772e-201.01939569191886e-20
7112.16694312954655e-201.08347156477327e-20
7218.34006784554174e-204.17003392277087e-20
7312.32128944964916e-191.16064472482458e-19
7419.54876700069331e-194.77438350034666e-19
7514.28530787682102e-182.14265393841051e-18
7611.74266632761035e-178.71333163805173e-18
7716.73501206120446e-173.36750603060223e-17
7813.63329233946898e-161.81664616973449e-16
790.9999999999999991.68457605653688e-158.42288028268439e-16
800.9999999999999975.29513698959382e-152.64756849479691e-15
810.9999999999999892.29260172598839e-141.14630086299419e-14
820.9999999999999431.14017440689699e-135.70087203448497e-14
830.9999999999997445.11343833649474e-132.55671916824737e-13
840.9999999999989242.15164221396603e-121.07582110698301e-12
850.9999999999984923.01612794455334e-121.50806397227667e-12
860.999999999995229.56009380934642e-124.78004690467321e-12
870.999999999979144.17208361923355e-112.08604180961677e-11
880.9999999998926922.14616828768768e-101.07308414384384e-10
890.9999999994227651.15446923713215e-095.77234618566077e-10
900.9999999970079745.98405099826825e-092.99202549913412e-09
910.9999999854113942.91772121374453e-081.45886060687227e-08
920.9999999271341451.45731709997561e-077.28658549987804e-08
930.999999689878516.20242980253168e-073.10121490126584e-07
940.9999987594384592.48112308273519e-061.24056154136759e-06
950.999997202442615.59511478057709e-062.79755739028855e-06
960.9999960022385987.99552280340298e-063.99776140170149e-06
970.9999811634833083.76730333831438e-051.88365166915719e-05
980.999924138921250.0001517221574995687.5861078749784e-05
990.9999835495103493.29009793011278e-051.64504896505639e-05
1000.999869087118490.0002618257630206230.000130912881510312
1010.9989908024839710.002018395032057260.00100919751602863
1020.9963355682844110.007328863431178640.00366443171558932


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level740.770833333333333NOK
5% type I error level790.822916666666667NOK
10% type I error level820.854166666666667NOK