In the lecture, you learned about how variable selection can impact linear regression as used for machine learning. In this discussion, you will revisit a
prediction from a previous module to further solidify your understanding of multiple variable selection methods.
Refer back to the Module 2 discussion (attached) and elaborate on how variable selection might be used to enhance the prediction you made using the same
dataset. Are there some variables that might be easy to eliminate without even going through the automated variable selection exercise?