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. Calories, x 160 170 130 130 340 370 Sodium, y 430 480 Find the regression equation (Round to three decimal places as needed.) 80 250 190 520 (a)x= 180 calories (c) x 150 calories (b) x = 90 calories (d) x-220 calories

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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 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.
P
Calories, x 160
Sodium, y
430
170 130 130
480 340 370
Find the regression equation.
ý xen
(Round to three decimal places as needed.)
80
250
190
520
(a) x = 180 calories
(c) x = 150 calories
(b)x= 90 calories
(d) x 220 calories
Transcribed Image 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. P Calories, x 160 Sodium, y 430 170 130 130 480 340 370 Find the regression equation. ý xen (Round to three decimal places as needed.) 80 250 190 520 (a) x = 180 calories (c) x = 150 calories (b)x= 90 calories (d) x 220 calories
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