I am trying to model a response variable which is a proportion (so a response between 0 and 1, see picture for distribution).
Ideally I would like to model it without using the actual counts, so as a decimal.
So far I have been using a binomial family in R.
model <- glm(Response ~ X1 + X2 + X3, data = Training_data, family = 'binomial')
I think the model is doing okay, but when I use it for predictions it doesn't do a good job predicting when the ratio is 1 (As you can see from the picture).
I'm not sure if my approach of using a binomial distribution is wrong?
Thanks for your help ]1