The analyst that I used to work for advised me that in industry they used regression to forecast issues like future air travel passengers and the company would base its budget/targets off of that. He initially wished to use it in the ER reports but was shut down by product management, as they don’t really feel that it’s respectable. You get a lot of information from totally different calls and you would plot information points of wait time and drop-off rates. You would likely see a correlation between longer wait instances and better drop-offs. If there’s a extremely high correlation, you would say there’s a one hundred pc correlation, or 1.