fixed reviews
What do you mean by “fixed” in this context?
It will be mostly about finding a likelihood that goes reasonably well from number of reviews, and their values to box office gross
I’ll have to think more about this. I think I want to inform the model that more reviews → less uncertainty. I think that means I’ll have to say reviews inform us about some underlying “quality” parameters where the sd is a function of number of reviews. Reviews are weird in that they’re almost like aggregating priors of other people.
Do the reviews even predict the box office?
Yeah. By a correlation analysis, they’re lightly predictive. Independently, anywhere from a 5-20% correlation to the outcome. The reviews are intended to be on different metrics of the movie, so they’re not too correlated with one another.