I have two different regression models developed from two different datasets as follows:
Y1 = B0*X1+B1 , R2 = 0.16
Y2 = C0*X2+C1 , R2 = 0.34
Y1 and Y2 are representing the same measure but they have different values
X1 and X1 are different features.
How I can compute the importance (contribution) independent variable in each model?