I'm using the TBATS
model of the forecast package with Google Analytics data, to forecast web trafic containing multiseasonal effects (msts
).
I have two year of daily data that contains two columns like these :
date sessions
2015-01-01 2667
2015-01-02 3542
2015-01-03 2383
2015-01-04 2772
2015-01-05 7797
2015-01-06 7599
I made one forecast for all my data and another forecast with data containing only a segment of users.
In the first case (all data), I obtained this result :
And in the second case (segment data), I obtained this :
My questions :
- How to interpret the slope component? I get it in the first case but not in the second. Is there a reason for that?
- What could do that the Lo/Hi points are so much wider in the second case?