Which of the following algorithm(s) requires fitting a linear model multiple times? Forward selection that terminates upon selecting one feature (m 1) Lasso with cross-validation Lasso with a fixed value of the regularization parameter = Backward selection that terminates upon selecting one feature (m = 1)

Explain the role of arithmetic operators in programming and provide examples of addition, subtraction, multiplication, and division operations.