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More hot dogs Refer to Exercise 19

a. Explain why it isn’t correct to say that the correlation is 0.87mg/cal

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 sodium was measured in grams instead of milligrams? Explain your reasoning.

Short Answer

Expert verified

Part (a) This statement is not true.

Part (b) The correlation remains the same.

Part (c) The correlation will remain the same.

Step by step solution

01

Part (a) Step 1: Given information

02

Part (a) Step 2: Explanation

We must determine why it is incorrect to state that the correlation is 0.87mg/cal in order to answer this question. As a result, we can't state the correlation is 0.87mg/cal because the units "mg/cal" were allocated to the correlation. Correlation, on the other hand, is never related with units. As a result, this statement is false.

03

Part (b) Step 1: Explanation

According to the question, we must determine what would happen to the correlation if the variables on the scatterplot were reversed. The correlation, as we all know, evaluates the degree of linearity between two variables. As a result, if the variables on the scatterplot are flipped, the amount of linearity between the two variables is unaltered, and the correlation is unaffected as well.

04

Part (c) Step 1: Explanation

We must determine what would happen to the association if sodium was measured in grammes rather than milligrammes, as stated in the question. The correlation, as we all know, evaluates the degree of linearity between two variables. As a result, measuring sodium in grammes rather than milligrammes has no effect on the link between the variables because the relationship remains the same. As a result, the level of linearity in the relationship between the variables remains unchanged, and the correlation remains unchanged.

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Most popular questions from this chapter

Infant weights in Nahya A study of nutrition in developing countries

collected data from the Egyptian village of Nahyan. Researchers recorded the mean weight (in kilograms) for 170 infants in Nahya each month during their first year of life. A hasty user of statistics enters the data into software and computes the least-squares line without looking at the scatterplot first. The result is weight^=4.88+0.267 (age). Use the residual plot to determine if this linear model is appropriate.

More wins? Refer to Exercise 37

a. Interpret the slope of the regression line.

b. Does the value of the y-intercept have meaning in this context? If so, interpret the y-intercept. If not, explain why.

The scatterplot shows reading test scores against IQ test scores for 14 fifth-grade children. There is one low outlier in the plot. What effect does this low outlier have on the correlation?

a. It makes the correlation closer to 1.

b. It makes the correlation closer to 0 but still positive.

c. It makes the correlation equal to 0.

d. It makes the correlation negative.

e. It has no effect on the correlation.

It’s still early We expect that a baseball player who has a high batting average in the first month of the season will also have a high batting average for the rest of the season. Using 66 Major League Baseball players from a recent season,33 a least-squares regression line was calculated to predict rest-of-season batting average y from first-month batting average x. Note: A player’s batting average is the proportion of times at-bat that he gets a hit. A batting average over 0.300 is considered very good in Major League Baseball.

a. State the equation of the least-squares regression line if each player had the same batting average the rest of the season as he did in the first month of the season.

b. The actual equation of the least-squares regression line is y^=0.245+0.109x

Predict the rest-of-season batting average for a player who had a 0.200 batting average the first month of the season and for a player who had a 0.400 batting average the first month of the season.

c. Explain how your answers to part (b) illustrate regression to the mean.

Does fast driving waste fuel? How does the fuel consumption of a car change as its speed increases? Here are data for a British Ford Escort. Speed is measured in kilometers per hour and fuel consumption is measured in liters of gasoline used per 100 kilometers traveled.

a. Make a scatterplot to display the relationship between speed and fuel consumption.

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