29

Question 1

Least squares regression line?

Answer 1

A process to try to minimize with respect to beta_0* and beta_1* meaning it has the smallest total squared distances between the line picked and the points.

Question 2

Assumptions for simple linear regression?

Answer 2

•The functional relationship between the response variable Y and the predictor variable X is examined. The assumed functional form of this relationship is given by Y_i = beta_0 + beta_1(X_i) + epsilon_i
•epsilon_i are independent normal random variables with a mean of zero and common variables sigma^2
•beta_0 and beta_1 are parameters
•X_i are not a random variable.