Help with multivariate regression model
I am currently working on a creating a model that is a function of three variables:
Performance = 0.xx (Net Cost) + (0.xx) Best Practice Score - (0.xx) Net Tonnes marketed per household.
Seems simply enough right?
The problem is, is that before I even assign weights to each respective covariate, the model is heavily scewed in favor of net cost as the actual number itsef is significantly larger than both Best practice score and net tonnes per household.
What could I do to make sure that all the variables are of equal importance (with respect to its effect on performance), before I assign the probability weights for 0.xx?
Any help would be greatly appreciated!