Find the equation of the regression line for the given data. Then construct a scatter plot of the given data and draw the regression line. (Each pair of variables has a significant correlation) Then use the regression equation to predict the value of y for each of the given x values, if meaningful. The table shows the weights in pounds of 6 vehicles and the variability of their braking distances, in feet when stopping on a dry surface.

(A) Find the regression equation. (B) Sketch the scatterplot. (C) Predict the value for x=4500lb, please select the correct answer. a. 1.44 b. 2.08 c. 3.21 d. Not Meaningful (D) Predict the value for x=5700lb, please select the correct answer. a. 1.55 b. 2.08 c. 1.44 d. Not Meaningful (E) Predict the value for x=7800lb, please select the correct answer. a. 1.55 b. 3.21 c. 1.44 d. Not Meaningful (F) Predict the value for x=4700lb, please select the correct answer. a. 2.08 b. 1.55 c. 3.21 d. Not Meaningful