Use the information below to answer Questions #53 - 59. Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values. The table below shows the caloric content and the sodium content (in milligrams) for six beef hot dogs: Calories, x: 160 170 130 130 70 190 Sodium, y: 420 470 350 370 250 540 Construct a scatter plot of the data and draw the regression line. Choose the correct graph below. 560- 560- (a) (b) 200 20 Calories Calories 560- 560- (d) 200 Calories 200 Calories O (a) O (b) O (c) O (d) (Bu) wnpos (Bw) wnpos (6u) unipos (Bw) wnipos

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Use the information below to answer Questions #53 - 59.
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the
regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value
of y for each of the given x-values. The table below shows the caloric content and the sodium content (in milligrams) for
six beef hot dogs:
Calories, x: 160
170
130
130
70
190
Sodium, y:
420
470
350
370
250
540
Construct a scatter plot of the data and draw the regression line. Choose the correct graph below.
560여
560억
(a)
(b)
200
Calories
200
Calories
560-
560-
(d)
200
200
Calories
Calories
(b)
(c)
(d)
(6u) wnpos
(Bu) wnpos
(6w) unipos
(6u) wnipos
Transcribed Image Text:Use the information below to answer Questions #53 - 59. Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values. The table below shows the caloric content and the sodium content (in milligrams) for six beef hot dogs: Calories, x: 160 170 130 130 70 190 Sodium, y: 420 470 350 370 250 540 Construct a scatter plot of the data and draw the regression line. Choose the correct graph below. 560여 560억 (a) (b) 200 Calories 200 Calories 560- 560- (d) 200 200 Calories Calories (b) (c) (d) (6u) wnpos (Bu) wnpos (6w) unipos (6u) wnipos
Use the information below to answer Questions #53 - 59.
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the
regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value
of y for each of the given x-values. The table below shows the caloric content and the sodium content (in milligrams) for
six beef hot dogs:
Calories, x: 160
170
130
130
70
190
Sodium, y:
420
470
350
370
250
540
Predict the value of y for x = 180. Choose the correct answer below.
419.443
559.903
489.673
O Not meaningful
Transcribed Image Text:Use the information below to answer Questions #53 - 59. Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values. The table below shows the caloric content and the sodium content (in milligrams) for six beef hot dogs: Calories, x: 160 170 130 130 70 190 Sodium, y: 420 470 350 370 250 540 Predict the value of y for x = 180. Choose the correct answer below. 419.443 559.903 489.673 O Not meaningful
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