Please don't hand write! thanks :)

We have a dataset of genetics sequencing outcome, with 3,000 observations and 40,000 vari- ables. You are trying to determine the best method for classification analysis. Colleague A is advocating for QDA but Colleague C is worried. Why might she be concerned? (1 pt) You have a dataset that is all dummy variables (i.e. 0/1 categorical variables). If you want to use a linear decision boundary, would you expect LDA or a logistic regression to perform better? (0.5 pts) What is the shrinkage penalty for ridge regression? (0.5pts) What is the shrinkage penalty for lasso regression? (0.5pts) How do the different shrinkage penalties influence variable selection for lasso vs ridge? (0.5pts)