[ordinaryperson]

Kernel density, bootstrap, using prior distribution, increment the derivative...all this stuff is so far above and beyond the ordinary person.

You and a couple of others have provided plenty of context for the serious data scientist who wants to understand the exact nature of the relationship between these two variables, but 99% of readers do not understand much less want to read about "kernel density".

Again, my challenge remains open: instead of complaining about inaccuracy, try to render the relationship in plain English.

[thanatropism]

There's no much that can be said. Your quantitative analysis is weak.

[ordinaryperson]

Lol. I was giving a basic intro for the 99% of readers who don't care about "kernel density" or controlling for output variables -- the fact that you conflate such an attempt with a "quantitative analysis" (which it was not) coupled with your unwillingness or inability to give a plain English description just proves my point.