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. (a) x = 150 calories Calories, x Sodium, y 160 180 130 120 80 430 480 330 380 270 190 510 (c) x 140 calories (b) x 100 calories (d) x = 210 calories Find the regression equation.. x+ (Round to three decimal places as needed.)

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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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.
(a) x = 150 calories
Calories, x
Sodium, y
160
180
130
120
80
430
480
330
380
270
190
510
(c) x 140 calories
(b) x 100 calories
(d) x = 210 calories
Find the regression equation..
x+
(Round to three decimal places as needed.)
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. (a) x = 150 calories Calories, x Sodium, y 160 180 130 120 80 430 480 330 380 270 190 510 (c) x 140 calories (b) x 100 calories (d) x = 210 calories Find the regression equation.. x+ (Round to three decimal places as needed.)
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