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Chapter 3: Q 12. (page 172)

More Starbucks How do the nutritional characteristics of food products differ from drink products at Starbucks? The scatterplot shown here enhances the scatterplot from Exercise 6 by plotting the food products with blue squares. How are the relationships between fat and calories the same for the two types of products? How are the relationships different?

Short Answer

Expert verified

It could be noticed that there is more fat and calories in food products in comparison to that of the drink product.

Step by step solution

01

Given information

The figure is:

02

Explanation

It is obvious from the supplied graph that both items are trending upward, implying that there is a direct relationship between the two variables fat and calories for both sorts of products. On the other hand, it's worth noting that food goods include more fat and calories than drink products.

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Most popular questions from this chapter

More brains Refer to Exercise 20

a. Explain why it isn’t correct to say that the correlation is 0.86g/kg

b. What would happen to the correlation if the variables were reversed on the scatterplot?

Explain your reasoning.

c. What would happen to the correlation if brain weight was measured in kilograms instead of grams? Explain your reasoning.

You have data for many years on the average price of a barrel of oil and the average retail price of a gallon of unleaded regular gasoline. If you want to see how well the price of oil predicts the price of gas, then you should make a scatterplot with ___________ as the explanatory variable.

a. the price of oil

b. the price of gas

c. the year

d. either oil price or gas price

e. time

More crying? Refer to Exercise 16Does the fact that r=0.45 suggest that making an infant cry will increase his or her IQ later in life? Explain your reasoning.

Each year, students in an elementary school take a standardized math test at the end of the school year. For a class of fourth-graders, the average score was 55.1 with a standard deviation of 12.3. In the third grade, these same students had an average score of 61.7 with a standard deviation of 14.0. The correlation between the two sets of scores is r = 0.95. Calculate the equation of the least-squares regression line for predicting a fourth-grade score from a third-grade score.

a. y^=3.58+0.835x

b. y^=15.69+0.835x

c. y^=2.19+1.08x

d. y^=−11.54+1.08x

Husbands and wives The mean height of married American women in their

early 20s is 64.5 inches and the standard deviation is 2.5 inches. The mean height of married men the same age is 68.5 inches with standard deviation 2.7 inches. The correlation between the heights of husbands and wives is about r = 0.5.

a. Find the equation of the least-squares regression line for predicting a husband’s height from his wife’s height for married couples in their early 20s.

b. Suppose that the height of a randomly selected wife was 1 standard deviation below average. Predict the height of her husband without using the least-squares line.
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