Have anyone tried modeling number of phone calls using OLS? The dataset is number of calls per months for each customer's account. The dependent variable is number of calls or average number of calls, and the explanatory variables are customer specific variables including number of purchases, total spend and so on....
How do you deal with zero callers? Only small proportion of customers actually call, 5%. I am attempting to build a predictive model, so I want to keep zero callers in the model.
I do not believe that number of call is bounded or censored random variable? I thought zero number of calls is a true zero and there is to account for it? Do I need to use Tobit for the estimation here?