A Give the slope of the line of best least squares fit for t

A) Give the slope of the line of best least squares fit for the data (-1,2.1), (0,0.85), (1,0.05), (2,-2.12).

B) Give the coefficient in front of the x² term for quadratic of best least squares fit for the data (-1.18,1.48), (-0.4,0.28), (0.28,-1.84), (1.52,-2.16), (2.5,-1.02), (3.52,0.66), (4,2).

C) Give the coefficient on the x term for the quadratic of best least squares fit for the data (-1.18,1.48), (-0.4,0.28), (0.28,-1.84), (1.52,-2.16), (2.5,-1.02), (3.52,0.66), (4,2).

D) Find the best least squares fit of the form y = a + bx + cx² for the data (0,4.1), (1,1.2), (2,-0.1), (3,1.1), (4,3.9). Use this fit to predict the value of y when x = 1.5.

Solution