I have a set of data and I want to model a response variable which is "amount of money paid by the participants". I have data of about 600 people, who chose to pay between 0 and 100 (only integers). These data do not follow a normal distribution, and there are many zeros.
Using a linear model does not seem appropiate because residuals are not normal and model plots have strange patterns. I thought I could use a zero-altered negative binomial (or hurdle model, I don't know which term is more appropriate), but all the literature I find about negative binomial regressions refers only to count data.
Would it be possible to use negative binomial regression even if my data does not refer to counts, given that my response variable cannot take values under zero and that only integers are allowed?