One of the things that go with a statistics project is, that you... well need a lot of samples.

So after one week of sampling, I can conclude that the actions mentioned in the previous post (Mostly a less bright display setting) improved the correlation between temperature measurement and fork frequency by a lot:

Also, the floating-average-factor (damp factor) is smaller now, which indicates a tighter temperature vs. frequency coupling (by time).

The Estimation of drift also seems very good with a plateau after a very noisy initial start.
Note That:
1. The Absolute Drift (in red) stays roughly the same after the initial noise period
2. The Per-Sample Estimation Differences are scaled so that they can be even seen
3. I have too many lines in this plot. :D 

Now, to deliver a final precision figure just in time for the end of the One-Hertz-Challenge, I used this week's data to estimate the final model parameters. The following week will then deliver real-world measured precision data based on the current settings.