AndyS wrote:Fortunately it sounds like it was a satisfying night for you rather than an annoying night. Of course, let me know if there is any more data I can collect. And good luck!
I've tracked down the problem: we're making good shots.
The graph has shot time on the X, shot weight divided by dose on the Y -- I call the graph the "al effect," since we are drawing out the more concentrated shots, cutting the less concentrated ones short. The result is that the points are mostly in the lower left triangle; and the upper right one is mostly empty. This is for my data; but you'll probably see it on yours too.
This selectivity on on stopping shots messes up the statistics and the physical relations. Long shot times should produce higher solubles yields, higher weight shots, and less concentrated shots. By using al's rule (or the blonding rule), we stretch out concentrated, low flow shots and cut watery, high flow ones short. In my dataset, this has completely removed the causal relation of shot time. I'm guessing you have a similar situation.
Despite messing with the analysis, this could be a good thing. Afterall, we are looking for effects in shots made by competent baristas.