Multiple Linear Regression - Estimated Regression Equation
TimeRFC[t] = + 18668.3206607017 + 649.982998349128`#Logins`[t] + 0.308510559348594`#characters`[t] -0.985316356526397`#revisions`[t] + 1.50553568456771`#seconds`[t] + 1041.59586653222`#Hyperlinks`[t] -1430.90950241908`#Blogs`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)18668.32066070175369.0457663.4770.0014820.000741
`#Logins`649.982998349128183.487943.54240.0012420.000621
`#characters`0.3085105593485940.1776821.73630.0921290.046065
`#revisions`-0.9853163565263971.658625-0.59410.5566510.278326
`#seconds`1.505535684567710.3820763.94040.0004140.000207
`#Hyperlinks`1041.595866532221861.8529490.55940.5797560.289878
`#Blogs`-1430.909502419081819.271139-0.78650.4373440.218672


Multiple Linear Regression - Regression Statistics
Multiple R0.89781439719386
R-squared0.806070691808575
Adjusted R-squared0.769708946522682
F-TEST (value)22.1680968685878
F-TEST (DF numerator)6
F-TEST (DF denominator)32
p-value4.0927405908775e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation13585.5459703615
Sum Squared Residuals5906145898.00978


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1150580155005.2903637-4425.29036370035
29961199842.3379552135-231.337955213549
31934935254.0974271473-15905.0974271473
49937390437.45952286778935.54047713226
58623086424.6341776099-194.634177609898
63083733214.0202125339-2377.02021253387
73170649752.5068668598-18046.5068668598
88980673914.048798475615891.9512015244
96208872908.7203554497-10820.7203554497
104015165442.2507607823-25291.2507607823
112763438176.8519487621-10542.8519487621
127699079153.0921000158-2163.09210001575
133746034790.8125321932669.18746780701
145415752963.5686876461193.43131235398
154986264769.3259676339-14907.3259676339
168433787323.9314437573-2986.93144375727
176417570024.5027636747-5849.50276367467
185938271086.4925913806-11704.4925913806
1911930897660.546767827721647.4532321723
207670294462.3326423823-17760.3326423823
2110342596675.19660497666749.80339502336
227034472748.5533253434-2404.55332534338
234341031502.2825574711907.71744253
24104838102804.7310377862033.2689622141
256221565282.1838167494-3067.18381674941
266930457919.024207694611384.9757923054
275311748713.24202978234403.75797021772
281976436914.4614427316-17150.4614427316
298668086823.5220804189-143.522080418909
308410560192.739875904123912.2601240959
317794556131.299521475321813.7004785247
328911391252.0180407-2139.01804070001
339100562186.400655839628818.5993441604
344024836699.35866337343548.6413366266
356418761515.37706941372671.62293058632
365085752077.4014866581-1220.40148665805
375661340814.637889342815798.3621106572
386279269502.7995761279-6710.79957612786
397253579872.9462322992-7337.94623229924


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.4164072213391550.8328144426783110.583592778660845
110.316902597106670.6338051942133390.683097402893331
120.2036913929018850.4073827858037710.796308607098115
130.2019059114601560.4038118229203130.798094088539844
140.1273272004537630.2546544009075250.872672799546237
150.2054357531295010.4108715062590020.794564246870499
160.1346189971680530.2692379943361050.865381002831947
170.09755567370132180.1951113474026440.902444326298678
180.0850043142688860.1700086285377720.914995685731114
190.3244251689001580.6488503378003160.675574831099842
200.3333906380722770.6667812761445540.666609361927723
210.2361514504556770.4723029009113530.763848549544323
220.1644855082574840.3289710165149680.835514491742516
230.187989651240160.375979302480320.81201034875984
240.1231131565271880.2462263130543770.876886843472812
250.08979218678422110.1795843735684420.910207813215779
260.1017000952222680.2034001904445370.898299904777732
270.06411417785579940.1282283557115990.935885822144201
280.1400919266325950.2801838532651910.859908073367404
290.1734131788077880.3468263576155760.826586821192212


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