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. 180 O 550 Calories, x Sodium, y 150 420 170 470 130 330 130 370 80 240 (a) x (c) x 180 calories 140 calories (b) x = 90 calories (d) x 220 calories

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Need regression equation, graph, and predict the value of y for a-d.
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.
180
550
Calories, x
Sodium, y
150
420
170
470
130
330
Find the regression equation.
ý = x +
(Round to three decimal places as needed.)
130
370
80
240
(a) x = 180 calories
(c) x = 140 calories
G
(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. 180 550 Calories, x Sodium, y 150 420 170 470 130 330 Find the regression equation. ý = x + (Round to three decimal places as needed.) 130 370 80 240 (a) x = 180 calories (c) x = 140 calories G (b)x= 90 calories (d) x 220 calories
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