MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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The image features a scatter plot graph representing the correlation between "Chocolate consumption (kg/yr per person)" on the x-axis and "Nobel laureates (per 10 million people)" on the y-axis. The graph shows data points for various countries, each represented by a blue dot and labeled with the country's name. The correlation coefficient \( r = 0.791 \) is indicated at the top left of the graph, suggesting a strong positive correlation between chocolate consumption and the number of Nobel laureates.

Countries generally follow a trend that suggests higher chocolate consumption is associated with a higher number of Nobel laureates, though with some variation. Switzerland is positioned as an outlier with notably high values for both chocolate consumption and Nobel laureates, compared to other countries.

**Analysis Question:**
What effect does Switzerland have on the correlation? Explain.

**Explanation:**
Switzerland, as an outlier, likely increases the correlation coefficient due to its high values in both variables, reinforcing the positive trend. Removing or altering its values could potentially lower the correlation, reflecting less association between chocolate consumption and Nobel laureates.
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Transcribed Image Text:The image features a scatter plot graph representing the correlation between "Chocolate consumption (kg/yr per person)" on the x-axis and "Nobel laureates (per 10 million people)" on the y-axis. The graph shows data points for various countries, each represented by a blue dot and labeled with the country's name. The correlation coefficient \( r = 0.791 \) is indicated at the top left of the graph, suggesting a strong positive correlation between chocolate consumption and the number of Nobel laureates. Countries generally follow a trend that suggests higher chocolate consumption is associated with a higher number of Nobel laureates, though with some variation. Switzerland is positioned as an outlier with notably high values for both chocolate consumption and Nobel laureates, compared to other countries. **Analysis Question:** What effect does Switzerland have on the correlation? Explain. **Explanation:** Switzerland, as an outlier, likely increases the correlation coefficient due to its high values in both variables, reinforcing the positive trend. Removing or altering its values could potentially lower the correlation, reflecting less association between chocolate consumption and Nobel laureates.
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