(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:
Type out the regression model in the form y = f(x). Then replace x with 70 and evaluate that model (calculate y). That's how you could estimate / predict the score of a 70-inch-tall player.