Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have 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 below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x 766 620 520 50 494 484 (a) x = 498 feet (b) x = 641 feet Stories, y 51 46 44 42 37 35 (c) x = 310 feet (d) x = 730 feet Find the regression equation. y=[x+ 0 (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. O A. OB. O C. OD. 60- 60- 60- 60- Stories stories Stories Stories 800 0 800 Height (feet) 800 800 Height (feet) Height (feet) Height (feet) (a) Predict the value of y for x = 498. Choose the correct answer below. O A. 50 O B. 46 O C. 39 O D. not meaningful (b) Predict the value of y for x = 641. Choose the correct answer below. O A. 46 O B. 39 O C. 30 O D. not meaningful (c) Predict the value of y for x = 310. Choose the correct answer below. O A. 50 O B. 46 O C. 30 O D. not meaningful (d) Predict the value of y for x = 730. Choose the correct answer below.(d) Predict the value of y for x = 730. Choose the correct answer below. 0 A. 50 O B. 30 O C. 39 O D. not meaningful