First off, I know little about statistics, so some of this question may seem naive.
I'm trying to perform linear regression to model the relationship between x and y where:
-x is a company's daily stock volume on a date
-y is variable that is taken from the same date, however is something unrelated to stock volume. It is the volume of activity on that wikipedia for that company.
I assume that the variables need normalising. Specifically, x needs to be normalised as overall index volume fluctuates. My first thoughts were to divide the daily volume by the total index volume. I'll do the same with the y variable.
I just wondered if this seems sensible? Thanks
I've just noticed a typo in the question, the Y variable description has changed.