Question

Ben collected data from a group of 12 people. He measured each persons resting heart rate and recorded the average number of hours each person exercised per week. He created a scatter plot to show the data he collected. Based on the scatter plot, what is the best prediction of the resting heart rate, in beats per minute, of a person who exercises an average of 8 hours each week?

Answer 1

To predict the resting heart rate of a person who exercises 8 hours per week, you can find the corresponding point on the scatter plot that represents 8 hours of exercise and read off the corresponding resting heart rate value.

Step-by-step explanation:

A scatter plot is used to show the relationship between two sets of data. In this case, Ben collected data on the resting heart rate and average hours of exercise per week for 12 people. Based on the scatter plot, we can make a prediction of the resting heart rate for a person who exercises an average of 8 hours per week. To do this, we can find the point on the scatter plot that corresponds to an average of 8 hours of exercise per week and then determine the corresponding resting heart rate.

Let's find the point on the scatter plot that represents an average of 8 hours of exercise per week.

• Find the x-coordinate of the point on the scatter plot that corresponds to 8 hours of exercise per week (horizontal axis).
• From the x-coordinate, find the corresponding y-coordinate (vertical axis), which represents the resting heart rate.

Once you have the corresponding point, you can read off the resting heart rate value in beats per minute.