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...


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<br>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<br>feet) and the number of stories of six notable buildings in a city.<br>(a) x = 499 feet<br>(c) x = 798 feet<br>(b) x = 652 feet<br>(d) x = 736 feet<br>619<br>519<br>508<br>491<br>474<br>Height, x<br>Stories, y<br>775<br>53<br>47<br>44<br>43<br>39<br>37<br>Find the regression equation.<br>(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)<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 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. (a) x = 499 feet (c) x = 798 feet (b) x = 652 feet (d) x = 736 feet 619 519 508 491 474 Height, x Stories, y 775 53 47 44 43 39 37 Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)

Jun 07, 2022
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