I have a quite generic question rather than a concrete problem with a code.
I am currently trying to create a regression model. For instance, I have 10 different sensors who all capture temperature data about a machine. there are other variables as well such as the year or establishment, location of the machine, et cetera. I wanna create a model which predicts the "error rate" of the machine. I would know how to approach this problem if there would be several distinct variables. But right now, I have 10 different sensors which capture the temperature of the machine in one day. What would be a wise approach to deal with this issue? Maybe take the average? or treat them separately?