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 significa correlation.) Then use the...


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 significa<br>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 th<br>number of stories of six notable buildings in a city.<br>Height, x<br>Stories, y<br>(a) x = 503 feet<br>(c) x = 798 feet<br>768<br>628<br>518<br>511<br>491<br>478<br>(b) x = 639 feet<br>52<br>48<br>45<br>42<br>37<br>35<br>(d) x = 731 feet<br>Find the regression equation.<br>ŷ =x+ (D<br>(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)<br>Choose the correct graph below.<br>

Extracted text: 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 significa 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 th number of stories of six notable buildings in a city. Height, x Stories, y (a) x = 503 feet (c) x = 798 feet 768 628 518 511 491 478 (b) x = 639 feet 52 48 45 42 37 35 (d) x = 731 feet Find the regression equation. ŷ =x+ (D (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below.

Jun 09, 2022
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