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.

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 8 six notable buildings in a city. Height, x 772 628 518 508 496 483 (a) x =502 feet (b) x =647 feet (a) Stories, y 51 48 44 41 37 35 (c) x = 798 feet (d) x = 729 feet + X Round the slope three decimal places and y-intercept two decimal places as needed