Explain in detail and don't copy from google or other sites When you interpret p-values from models that are chosen using any automated variable selection technique, which of the following should you...

When you interpret p-values from models that are chosen using any automated variable selection technique, which of the following should you be cautious about?

A incorrect calculation of degrees of freedom

B biases in parameter estimates, predictions, and standard errors

C p-values that tend to err on the side of overestimating significance

D all of the above