#parameters

Question 1: Select all that apply

Which statements about linear regression and ridge regression are true? Select all that apply.

Increasing ridge regression's hyperparameter alpha is likely to decrease model complexity1
Ridge regression can be used on datasets with many features2
Ridge regression learns one coefficient per training example3
A linear regression model with 2 features learns 3 parameters, one weight per feature plus a bias4