Is there any method to calculate the count of independent variable required w.r.to observations to improve R^2 value in the linear regression
I know that if observations less and variables more not correct (n<variables)it over-fit .
I mean if suppose 30 observations up-to 5 independent variable we have to use or 300000 for up-to 15 independent variables !!! is there any limits
If limits are there can any one please explain the how to calculate that
@tavish_srivastava - Can you please if possible
Thanks & regards