Q1: how can we get precise idea about distribution of a variable ? Q2: Problems associated with R2
Answers
Explanation:
When your regression model has a high R-squared, you assume it’s a good thing. You want a high R-squared, right? However, as I’ll show in this post, a high R-squared can occasionally indicate that there is a problem with your model. I’ll explain five reasons why your R-squared can be too high and how to determine whether one of them affects your regression model.
R-squared is not as intuitive as it seems. In my post about how to interpret R-squared, I explain that small R-squared values are not always a problem, and high R-squared values are not necessarily good! I have also written a post that explains why asking, “how high should R-squared be?” is the wrong question. And, in some cases, I think the standard error of the regression is a better goodness-of-fit measure.