(65, 20), (68, 28), (73, 29), (77, 32), (78, 30) Each (x, y) pair above represents an excellent basketball player’s height, x, and average points per game, y. Enter the data into the regression calculator. The linear regression equation that models the data is: y ≈ x −

Ken leaves work 20 minutes late. he decides to make up time by taking the toll road instead of side streets. he can travel three times faster by taking the toll road. create an equation to represent his total travel time, including wait time, where x is the number of minutes the drive was expected to take