Multiple Linear Regression - Estimated Regression Equation
Hours[t] = + 0.863654994886517 -5.34026073264113e-06Characters[t] + 0.000690886679675441Revisions[t] + 0.0182219247576429Blogs[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.8636549948865170.1325516.515600
Characters-5.34026073264113e-061.2e-05-0.44630.6562150.328107
Revisions0.0006908866796754416e-0511.566900
Blogs0.01822192475764290.0051233.55670.0005470.000273


Multiple Linear Regression - Regression Statistics
Multiple R0.841603183908804
R-squared0.708295919165437
Adjusted R-squared0.700686247491491
F-TEST (value)93.0783809754344
F-TEST (DF numerator)3
F-TEST (DF denominator)115
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.905850762747532
Sum Squared Residuals94.3650445025828


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197.077164309025521.92283569097448
276.705031894891950.294968105108048
375.217611034676961.78238896532304
466.52879876406459-0.528798764064595
564.405871382938821.59412861706118
666.19662685721302-0.196626857213022
753.804482245197231.19551775480277
855.34300270626764-0.343002706267642
953.264105365846951.73589463415305
1053.98064121649481.0193587835052
1154.711832156089030.28816784391097
1253.12965202712631.8703479728737
1346.17629178248699-2.17629178248699
1442.506135345236381.49386465476362
1543.294309765386870.705690234613127
1642.6139768653291.386023134671
1744.1883637197065-0.188363719706505
1844.6002002492813-0.600200249281295
1943.378918328852960.621081671147038
2041.881122460351352.11887753964865
2135.79671077931852-2.79671077931852
2232.380310537696830.619689462303168
2331.920838083348611.07916191665139
2432.311068602529220.688931397470784
2532.357921762048310.642078237951686
2632.472843262555050.52715673744495
2732.603783906322650.396216093677352
2833.19687091417826-0.196870914178259
2932.07622841946940.9237715805306
3032.144598720434170.855401279565833
3133.54680480924684-0.546804809246844
3233.04677023225495-0.0467702322549522
3332.488744506478940.511255493521058
3432.522817693829790.477182306170213
3532.084443007646130.915556992353865
3633.20766338807236-0.207663388072362
3731.603841781476241.39615821852376
3831.349438502134851.65056149786515
3931.758937842431771.24106215756823
4033.88150428591119-0.881504285911194
4131.796274799587471.20372520041253
4232.513986296055180.486013703944818
4332.206595799835990.793404200164013
4433.29778939324388-0.297789393243881
4531.381279808747591.61872019125241
4633.96725779323484-0.967257793234837
4722.27412808947785-0.274128089477851
4823.05903242204624-1.05903242204624
4921.862320255880810.137679744119193
5022.5013592863015-0.501359286301505
5121.581214216406130.418785783593874
5222.46418749162396-0.46418749162396
5323.29617437833856-1.29617437833856
5422.56538465885946-0.565384658859462
5521.175698013877160.824301986122837
5623.11010480496657-1.11010480496657
5722.66681623168835-0.666816231688351
5823.2788342145597-1.2788342145597
5922.56103109921126-0.561031099211263
6021.825811060055530.174188939944474
6122.18331407573735-0.183314075737355
6222.60555965927649-0.605559659276489
6321.800516263646650.199483736353345
6421.817291518551880.182708481448122
6521.99855853164420.00144146835580372
6621.352535783287440.647464216712559
6721.484300862817650.515699137182352
6822.172568857905-0.172568857905004
6922.0986142887686-0.0986142887686041
7021.971517577893080.028482422106917
7122.34752098505012-0.347520985050124
7220.9844204256365951.01557957436341
7322.24545985922672-0.245459859226715
7421.313221938306720.686778061693284
7521.278261216827560.721738783172442
7621.498551378084790.501448621915213
7721.832111829878620.167888170121379
7821.439556142441720.560443857558282
7921.085194497108150.914805502891852
8011.30017023478773-0.300170234787728
8111.15647950418814-0.156479504188136
8211.23892424702138-0.238924247021377
8312.41211734246638-1.41211734246638
8411.97791897342702-0.977918973427019
8511.31867310697002-0.318673106970024
8612.47856465718585-1.47856465718585
8712.29103627225027-1.29103627225027
8812.17930570510201-1.17930570510201
8910.9288334607414620.0711665392585377
9011.87087499238696-0.870874992386959
9111.10447468677617-0.104474686776165
9210.7332833072006080.266716692799392
9311.73003839566485-0.730038395664851
9411.6690463121199-0.669046312119896
9511.18789894078652-0.187898940786524
9611.67275816436532-0.672758164365316
9711.2125769099385-0.212576909938501
9811.17754409058528-0.177544090585276
9911.41450175111483-0.414501751114827
10010.9881082959873240.0118917040126762
10111.03761409828319-0.037614098283186
10210.9925275464472430.00747245355275739
10310.8821607557591010.117839244240899
10411.16596866782952-0.165968667829519
10511.02370891054466-0.0237089105446586
10611.07284074410729-0.0728407441072881
10711.54207284320189-0.542072843201889
10800.88013679694143-0.88013679694143
10900.971984149139327-0.971984149139327
11000.93907788717381-0.93907788717381
11100.869375855302048-0.869375855302048
11200.875946768080893-0.875946768080893
11300.800075319282285-0.800075319282285
11400.921697611581262-0.921697611581262
11500.875293263226346-0.875293263226346
11600.859185436495526-0.859185436495526
11700.873284686316112-0.873284686316112
11800.844085887484423-0.844085887484423
11900.879198101801539-0.879198101801539


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.6390066703323750.721986659335250.360993329667625
80.8703871791341320.2592256417317360.129612820865868
90.8122806847313990.3754386305372020.187719315268601
100.7377388625967330.5245222748065340.262261137403267
110.6433735594362050.713252881127590.356626440563795
120.6128804763466030.7742390473067930.387119523653397
130.9633341909593590.07333161808128120.0366658090406406
140.9540682293418180.09186354131636430.0459317706581821
150.9404918930394380.1190162139211240.0595081069605619
160.9298445782708620.1403108434582760.0701554217291381
170.9240186053811530.1519627892376940.0759813946188471
180.9097108797301860.1805782405396280.0902891202698139
190.9130881295491910.1738237409016180.0869118704508091
200.9280229897235140.1439540205529730.0719770102764863
210.9987914161990160.00241716760196810.00120858380098405
220.9987267357230860.002546528553827710.00127326427691385
230.9987003803720550.002599239255890610.0012996196279453
240.9984366833227260.00312663335454880.0015633166772744
250.9981951619547410.003609676090517240.00180483804525862
260.9978570179326470.004285964134706550.00214298206735327
270.9974585755663570.005082848867285340.00254142443364267
280.997489808541230.005020382917539690.00251019145876984
290.9971434893676290.005713021264742940.00285651063237147
300.9966503046940510.006699390611898830.00334969530594942
310.9962002886583760.007599422683247150.00379971134162358
320.9960784297382590.007843140523481130.00392157026174057
330.9951502653646510.009699469270697680.00484973463534884
340.9942335304742180.0115329390515640.005766469525782
350.993791572537270.01241685492546020.00620842746273012
360.9932185660602940.01356286787941240.00678143393970622
370.9952027780044070.009594443991185970.00479722199559299
380.9974869956716490.005026008656702350.00251300432835117
390.9983930903770570.003213819245885480.00160690962294274
400.9985360240745920.002927951850815560.00146397592540778
410.9991571097251060.001685780549787720.000842890274893862
420.9989688212445360.002062357510927410.00103117875546371
430.9992283934099930.001543213180013630.000771606590006817
440.9993095046589480.001380990682103440.000690495341051719
450.999837499974690.0003250000506202880.000162500025310144
460.9998489445447990.000302110910402280.00015105545520114
470.9998612068930530.0002775862138931120.000138793106946556
480.9999166982354760.0001666035290470838.33017645235414e-05
490.9999010867068620.0001978265862766279.89132931383134e-05
500.999907298213870.0001854035722599359.27017861299677e-05
510.9998961001402550.0002077997194904060.000103899859745203
520.9998802494954170.0002395010091668590.00011975050458343
530.9999261457832350.0001477084335296667.38542167648331e-05
540.9999182326364650.0001635347270695318.17673635347656e-05
550.999932776805230.0001344463895402836.72231947701415e-05
560.9999485910824410.0001028178351178995.14089175589494e-05
570.9999542891321569.14217356873341e-054.5710867843667e-05
580.9999673394386866.53211226281144e-053.26605613140572e-05
590.9999601602625757.96794748499265e-053.98397374249632e-05
600.9999518974593479.62050813067482e-054.81025406533741e-05
610.9999311240673370.0001377518653268666.8875932663433e-05
620.9999086712807140.0001826574385728249.13287192864118e-05
630.9998835135183080.0002329729633841650.000116486481692083
640.9999053083848980.0001893832302042219.46916151021106e-05
650.9998620014345090.0002759971309828260.000137998565491413
660.9998552812325090.0002894375349815270.000144718767490763
670.9998335365130770.0003329269738467470.000166463486923374
680.9997593587753320.000481282449336670.000240641224668335
690.9997368707501720.0005262584996569190.000263129249828459
700.9997166559200050.0005666881599889660.000283344079994483
710.9995684529907840.000863094018431840.00043154700921592
720.9998208109668110.0003583780663771820.000179189033188591
730.9997947223718670.0004105552562662710.000205277628133135
740.9998868173117120.0002263653765765430.000113182688288271
750.9999489169933020.0001021660133952025.1083006697601e-05
760.999972693541955.46129161009223e-052.73064580504612e-05
770.999958093013778.38139724596994e-054.19069862298497e-05
780.9999876254655632.47490688741186e-051.23745344370593e-05
790.9999992336970621.53260587531096e-067.6630293765548e-07
800.9999988596209062.2807581880467e-061.14037909402335e-06
810.9999977415404754.51691904902339e-062.25845952451169e-06
820.9999967477403316.50451933740867e-063.25225966870433e-06
830.9999967429364366.51412712738445e-063.25706356369222e-06
840.9999949696301371.00607397264641e-055.03036986323204e-06
850.9999919101976181.61796047632808e-058.08980238164038e-06
860.999992944862871.41102742608648e-057.0551371304324e-06
870.9999923692657191.52614685623054e-057.63073428115268e-06
880.9999940902974391.18194051219285e-055.90970256096427e-06
890.9999935999285841.28001428327837e-056.40007141639183e-06
900.9999910048667531.79902664933775e-058.99513324668875e-06
910.9999856980559822.86038880357616e-051.43019440178808e-05
920.9999897720981392.04558037221148e-051.02279018610574e-05
930.9999857047754422.85904491160469e-051.42952245580234e-05
940.9999810242637843.79514724327791e-051.89757362163896e-05
950.9999699084673156.01830653696285e-053.00915326848142e-05
960.9999504498557119.91002885773438e-054.95501442886719e-05
970.9998906579995370.0002186840009255710.000109342000462786
980.9997799384686710.0004401230626589170.000220061531329458
990.9995341829622260.0009316340755481840.000465817037774092
1000.9994995853714450.001000829257109910.000500414628554956
1010.9993158167950320.001368366409935090.000684183204967546
1020.9995317993440590.00093640131188290.00046820065594145
1030.9999719580335965.60839328086267e-052.80419664043134e-05
1040.9999114739934760.000177052013047068.85260065235298e-05
1050.9999781360680214.37278639572884e-052.18639319786442e-05
1060.999999999547359.05299897090854e-104.52649948545427e-10
107100
108100
109100
110100
111100
112100


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level890.839622641509434NOK
5% type I error level920.867924528301887NOK
10% type I error level940.886792452830189NOK