This question already has an answer here:
- Is $R^2$ useful or dangerous? 6 answers
I understand the answer to this question is that it entirely depends on the data set.
However, this does not help people understand if their model is suitable or whether they should explore other variables.
So I am attempting to getting this question answered by people with experience in different fields where statistics is applied.
Assuming the model was not overfit and no other problems existed with the model, what I would like to know from someone experienced is the vastly different projects they worked on from very different industries and R^2 they obtained from their models so that people may gain a 'feel' whether they are heading in the right direction.
This question is of a highly atypical format so let me know if this is inappropriate for this website and I will remove it. Any suggestions on where to post this will also be appreciated.