Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use...


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Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression<br>line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of<br>the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in<br>the table below.<br>120<br>Calories, x|<br>Sodium, y 420<br>70<br>190<br>330 370 270 540<br>(a) x= 170 calories<br>(c) x = 150 calories<br>(b) x = 90 calories<br>(d) x = 210 calories<br>160<br>180<br>120<br>470<br>Find the regression equation.<br>(Round to three 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. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. 120 Calories, x| Sodium, y 420 70 190 330 370 270 540 (a) x= 170 calories (c) x = 150 calories (b) x = 90 calories (d) x = 210 calories 160 180 120 470 Find the regression equation. (Round to three decimal places as needed.)

Jun 09, 2022
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