If I want to make a regression model where sales in billions are dependent variable and my independent variables consist of very low values, for example rainy days (highest number is 15). My question is, is there any problem if I do a regression with original data, or should I do some transformation and therefore make my variables comparable? And which transformation would you suggest? Is sensible to use logarithmic transformation of data here?
I tried to find similar discussion, but struggled to do it.