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. 508 42 Height, x Stories, y 60 NHH FERS ---- …H Find the regression equation. ŷ-x+ (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 800 Height (leet) 772 51 Q 628 48 (a) Predict the value of y for x=502. Choose the correct answer below. OA. 41 О в. 51 OC. 47 OD. not meaningful (b) Predict the value of y for x=641. Choose the correct answer below. OA. 47 О В. 54 OC. 41 OD. not meaningful (c) Predict the value of y for x=802. Choose the correct answer below. OA 51 О в. 54 OC. 47 OD. not meaningful 518 44 (d) Predict the value of y for x=736. Choose the correct answer below. OB. 60- H Zi ← + 6 800 Height (feet) 496 39 Q Q 483 38 CHIE OC. (a)x=502 feet (c) x=802 feet ++++ 1151 PSO ---- o 800 Height (leet) Q O (b)x=641 feet (d)x=736 feet OD. ++> 800 0 Height (leet)