1. An economist wants to determine whether there is a linear relationship between a country’s gross domestic product (GDP) and carbon dioxide (CO2) emissions. The data are shown in the table at the left. Display the data in a scatter plot and describe the type of correlation.
2. A director of alumni affairs at a small college wants to determine whether there is a linear relationship between the number of years alumni have been out of school and their annual contributions (in thousands of dollars). The data are shown in the table below. Display the data in a scatter plot and describe the type of correlation.
a. Draw and label the x@ and y@ axes.
b. Plot each ordered pair.
c. Does there appear to be a linear correlation? If so, interpret the correlation in the context of the data.
Number of years out of school, x
1
10
5
15
3
24
30
Annual contribution (in 1000s of $), y
12.5
8.7
14.6
5.2
9.9
3.1
2.7
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