Find the equation of the regression line for the given data. Then construct a scatter plot of Then use the regression are shown in the table below. the data and draw the regression equation to predict the value of y for each of the given x-values, if meaningful. line. The caloric content and the sodium (Each pair of variables has a significant correlation.) content (in milligrams) for 6 beef hot dogs

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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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.
Calories, x
Sodium, y
150
430
170
480
130
320
OA. 440.983
OB. 591.343
OC. 265.563
OD. not meaningful
130
380
80
250
190
510
OA. 591.343
OB. 390.863
OC. 265.563
O D. not meaningful
(c) Predict the value of y for x = 140. Choose the correct answer below.
OA. 390.863
OB. 440.983
OC. 265.563
O D. not meaningful
(d) Predict the value of y for x = 220. Choose the correct answer below.
(a) x
(c) x
160 calories
140 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. Calories, x Sodium, y 150 430 170 480 130 320 OA. 440.983 OB. 591.343 OC. 265.563 OD. not meaningful 130 380 80 250 190 510 OA. 591.343 OB. 390.863 OC. 265.563 O D. not meaningful (c) Predict the value of y for x = 140. Choose the correct answer below. OA. 390.863 OB. 440.983 OC. 265.563 O D. not meaningful (d) Predict the value of y for x = 220. Choose the correct answer below. (a) x (c) x 160 calories 140 calories (b) x = 90 calories (d) x = 220 calories
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
Sodium, y
Sodium (mg)
560-
Find the regression equation.
ŷ=x+
(Round to three decimal places as needed.)
Choose the correct graph below.
OA.
200
150
430
Calories
Q
Q
170
480
130
320
OA. 390.863
OB. 440.983
OC. 591.343
O D. not meaningful
130
380
OB.
560
0#####
80
250
Q
200 G
Calories
190
510
(a) Predict the value of y for x = 160. Choose the correct answer below.
(a) x 160 calories
(c) x
140 calories
O C.
560
0#*
0
Q
200 G
Calories
(b) x 90 calories
(d) x
220 calories
O D.
560-
200
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. Calories, x Sodium, y Sodium (mg) 560- Find the regression equation. ŷ=x+ (Round to three decimal places as needed.) Choose the correct graph below. OA. 200 150 430 Calories Q Q 170 480 130 320 OA. 390.863 OB. 440.983 OC. 591.343 O D. not meaningful 130 380 OB. 560 0##### 80 250 Q 200 G Calories 190 510 (a) Predict the value of y for x = 160. Choose the correct answer below. (a) x 160 calories (c) x 140 calories O C. 560 0#* 0 Q 200 G Calories (b) x 90 calories (d) x 220 calories O D. 560- 200 Calories
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