I am thinking of building a model predicting a ratio a/b, where a <= b, a > 0, b > 0. So, the ratio would be between 0 and 1. For independent variables, I have a continuous one and several 0/1 indicators.
I could use a linear regression, although it doesn't naturally limit to 0..1. I have no reason to believe the relationship is linear, but of course it is often used anyway, as a simple first model.
I could use a logistic regression, although it is normally used to predict the probability of a two-state outcome, not to predict a continuous value from the range 0..1.
Knowing nothing more, would you use linear regression, logistic regression, or hidden option c?