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 foreach 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, xStories, y520508(a) x = 501 feet(c) x = 318 feet(b) x = 639 feet(d) x = 732 feet766620464944845145433935Find the regression equation.(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)Choose the correct graph below.OA.OB.Oc.Oc.OD.60+6060+50+0-0-800800Height (feet)800Height (feet)800Height (feet)Height (feet)(a) Predict the value of y for x = 501. Choose the correct answer below.O A. 40O B. 50C. 46O D. not meaningful(b) Predict the value of y for x = 639. Choose the correct answer below.

Given data is Height x 766 620 520 508 494 484 stories y 51 46 45 43 39 35

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 Stories, y 520 45 508 484 35 (a) x= 501 feet (c) x = 318 feet (b) x= 639 feet (d) x = 732 feet 766 620 494 51 46 43 39 Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. OA. Oc. OD. 60- 60- 60- 60 - 0- 800 Height (feet) 800 Height (feet) 800 Height (feet) B00 Height (feet) (a) Predict the value of y for x = 501. Choose the correct answer below. O A. 40 O B. 50 O C. 46 O D. not meaningful (h) Deediet the ualue of u for y 639 ChOose the correct answwer below