K 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. 180 170 120 130 80 Calories, x 150 Sodium, y 415 465 320 370 270 520 (a) x = 160 calories (c) x 140 calories (b) x = 90 calories (d) x=50 calories Find the regression equation. y = x + (Round to three decimal places as needed.)
K 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. 180 170 120 130 80 Calories, x 150 Sodium, y 415 465 320 370 270 520 (a) x = 160 calories (c) x 140 calories (b) x = 90 calories (d) x=50 calories Find the regression equation. y = x + (Round to three decimal places as needed.)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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