I am interested in performing a regression on data on a population. This population causes events X and Y. I have monthly data for population, event X, and event Y. Do I need to change my variables X and Y into rates (X divided by population) before running the regression?
Some details about the model: the population are students at a university. That's one IV. Another IV will be a yet to be determined demographic characteristic. As output variables, I have cheating instances and plagiarism instances. I'm going to combine these into one DV "academic dishonesty" and run three models, one with cheating as a DV, the other with plagiarism, and the last with academic dishonesty as the DV. In all cases university population and demographics will be the two IVs.
Should I change these cheating and plagiarism instances into rates? Thanks for the advice.