I'm new in statistical modelling and using R, so please excuse my mistake for this question.
I want to make multiple regression model with these variables:
- Revenue (in million USD) as dependent variable
- Customer experience score (with scale 1 to 5) as independent variable
- Number of package return (in unit) as independent variable
Since they have different unit and the variation is quite big, I'm thinking about standardize the variables before perform the regression. Is it will be better to model with standardize variable or do regression directly? I also read from the following source about how to rescale it with R.
But how to interpret the model if the variables are rescaled and no longer has a certain unit?