1) A sample of fast food menu items is taken and the item's sodium and calories are reported. Sodium 350 970 590 250 635 520 800 570| 1160 1040 (mg) Calories 160 300 290 160 | 180 240 320 290 360 270 a) Find the sample mean and standard deviation of the amount of sodium and calories for these items. (round to 100th and use appropriate symbols) b) Find the Least Squares Regression equation for the data. Let sodium be the explanatory variable. Ro coefficients to the nearest 100th. c) What is the slope of the model? Explain its meaning in the context of the data. d) Find the value of the correlation coefficient, r. What does this value tell us about the relationship be the variables? e) Use your equation to predict the number of calories in a menu item with 700 mg of sodium.

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A-E question 1
1) A sample of fast food menu items is taken and the item's sodium and calories are reported.
Sodium
350 970 | 590 | 250 | 635 || 520 800 | 570 | 1160 || 1040
(mg)
Calories | 160 | 300 290 || 160 | 180 | 240 | 320 | 290 | 360
270
a) Find the sample mean and standard deviation of the amount of sodium and calories for these items.
(round to 100th and use appropriate symbols)
b) Find the Least Squares Regression equation for the data. Let sodium be the explanatory variable. Round
coefficients to the nearest 100th.
c) What is the slope of the model? Explain its meaning in the context of the data.
d) Find the value of the correlation coefficient, r. What does this value tell us about the relationship between
the variables?
e) Use your equation to predict the number of calories in a menu item with 700 mg of sodium.
Transcribed Image Text:1) A sample of fast food menu items is taken and the item's sodium and calories are reported. Sodium 350 970 | 590 | 250 | 635 || 520 800 | 570 | 1160 || 1040 (mg) Calories | 160 | 300 290 || 160 | 180 | 240 | 320 | 290 | 360 270 a) Find the sample mean and standard deviation of the amount of sodium and calories for these items. (round to 100th and use appropriate symbols) b) Find the Least Squares Regression equation for the data. Let sodium be the explanatory variable. Round coefficients to the nearest 100th. c) What is the slope of the model? Explain its meaning in the context of the data. d) Find the value of the correlation coefficient, r. What does this value tell us about the relationship between the variables? e) Use your equation to predict the number of calories in a menu item with 700 mg of sodium.
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