Multiple Linear Regression - Estimated Regression Equation
TimeRFC[t] = + 6502.71131416814 + 829.756999128733`#Logins`[t] + 0.196074056762163`#characters`[t] -0.773163781215985`#revisions`[t] + 1.63206035759499`#seconds`[t] -22.8244576103107`#Hyperlinks`[t] -514.112233299791`#Blogs`[t] + 493.81343133437t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6502.711314168147286.8571550.89240.379060.18953
`#Logins`829.756999128733188.9409424.39160.0001226.1e-05
`#characters`0.1960740567621630.1736881.12890.2676060.133803
`#revisions`-0.7731637812159851.559134-0.49590.6234670.311734
`#seconds`1.632060357594990.3626914.49999e-054.5e-05
`#Hyperlinks`-22.82445761031071806.832018-0.01260.9900020.495001
`#Blogs`-514.1122332997911752.668316-0.29330.7712240.385612
t493.81343133437213.6891932.31090.0276570.013828


Multiple Linear Regression - Regression Statistics
Multiple R0.913547383021878
R-squared0.834568821026122
Adjusted R-squared0.797213393515892
F-TEST (value)22.3413002246477
F-TEST (DF numerator)7
F-TEST (DF denominator)31
p-value1.88317139659944e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation12748.4738340144
Sum Squared Residuals5038231137.99305


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1150580154182.021922562-3602.02192256182
29961190051.01706120249559.98293879762
31934925424.674319241-6075.67431924101
49937388300.826278392911072.1737216071
58623083148.43809470493081.56190529507
63083726545.52298781964291.47701218041
73170640146.0623660744-8440.06236607439
88980670274.608900575119531.3910994249
96208872891.5444209086-10803.5444209086
104015163528.954979804-23377.954979804
112763432512.3300439796-4878.33004397958
127699075034.34111093961955.65888906039
133746032105.6331202535354.366879747
145415747075.34751596517081.65248403491
154986261178.8374379972-11316.8374379972
168433782531.8969610131805.10303898697
176417570605.6206757834-6430.62067578343
185938269759.2377121762-10377.2377121762
19119308100466.4085557518841.5914442497
207670294412.9532621454-17710.9532621454
2110342598239.45653005665185.54346994345
227034474789.9735924574-4445.97359245739
234341033652.27260877399757.72739122607
24104838106267.74146462-1429.74146462005
256221568160.6657990575-5945.66579905752
266930460283.42258117759020.57741882246
275311750306.92932182042810.07067817956
281976440378.5219208979-20614.5219208979
298668092858.7372966277-6178.73729662775
308410563754.775055492520350.2249445075
317794558163.660025291719781.3399747083
328911391941.3467529301-2828.34675293006
339100565957.753660727725047.2463392723
344024843627.0319245677-3379.03192456775
356418770053.3227322172-5866.32273221716
365085755654.2569846724-4797.25698467238
375661349119.58657707877493.41342292133
386279275218.0965443823-12426.0965443823
397253583631.1708998631-11096.1708998631


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.4173835698271330.8347671396542660.582616430172867
120.2514469217551380.5028938435102770.748553078244862
130.2922097284854770.5844194569709550.707790271514523
140.2141648603811310.4283297207622620.785835139618869
150.2047816553042220.4095633106084450.795218344695778
160.1462013305276190.2924026610552380.853798669472381
170.08522402565279370.1704480513055870.914775974347206
180.06407271536099850.1281454307219970.935927284639002
190.3466335076712190.6932670153424380.653366492328781
200.3378192724636610.6756385449273220.662180727536339
210.2362880719437510.4725761438875010.763711928056249
220.1575549015206050.3151098030412090.842445098479395
230.1505092977306530.3010185954613050.849490702269347
240.08853815096335020.17707630192670.91146184903665
250.05610344308944950.1122068861788990.943896556910551
260.04967674081751910.09935348163503820.950323259182481
270.02485454075386110.04970908150772220.975145459246139
280.2791858656055780.5583717312111570.720814134394422


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0555555555555556NOK
10% type I error level20.111111111111111NOK