Which of the following statements is false?

The purpose of PCA is to discard most variables observed in the data and identify which

variable is the most important.

If the response variable is binary $($i$.$e$.,$ it can only be $0$ or $1),$ then linear regression can still

be applied, though logistic regression tends to yield more meaningful results.

PCA is a dimenson reduction method.

Logistic regression cannot be used to learn the relationship between HOMA and Leptin in

the cancer dataset