Question
Scatter Plots & Data Analysis Unit Test 23 of 2323 of 23 Items Question Use the image to answer the question. (A scatterplot shows the number of cups of coffee sold versus temperature.
The horizontal axis shows temperature, in degrees Fahrenheit, ranging from 0 to 70 in increments of 5, with an initial jump from 0 to 25. The vertical axis shows number of cups of coffee sold, ranging from 0 to 60 in increments of 10. A kink is shown on the horizontal axis close to origin. A tightly packed cluster of data plots is plotted between 30 to 37 on the horizontal axis and 42 to 48 on the vertical axis. A loosely packed cluster of data plots is plotted between 40 to 51 on the horizontal axis 30 and 38 on the vertical axis and. A dot is plotted at 62 on the horizontal axis and 5 on the vertical axis.
) Numbers of Cups of Coffee Sold Versus Temperature Using 8th-grade verbiage, interpret the scatterplot by describing any outliers and patterns of clustering. (4 points) Math Short Answer Rubric (4 points) This table shows the criteria for awarding points and the corresponding point values. Points Awarded Criteria 4 The answer is clear and correct. The answer shows that the student used problem-solving skills and reasoning. All work is shown or explained. 3 The answer is mostly correct. The student made small errors while solving. The answer shows that the student used some problem-solving skills and reasoning. Most work is shown or explained. 2 The answer is partially correct. The student made errors while solving. The answer shows that the student used some problem-solving skills or reasoning. Some work is shown or explained. 1 The answer is incorrect. The student made errors while solving. The answer shows little problem-solving skills or reasoning. Little or no work is shown. 0 The question is not answered. Skip to navigation
The horizontal axis shows temperature, in degrees Fahrenheit, ranging from 0 to 70 in increments of 5, with an initial jump from 0 to 25. The vertical axis shows number of cups of coffee sold, ranging from 0 to 60 in increments of 10. A kink is shown on the horizontal axis close to origin. A tightly packed cluster of data plots is plotted between 30 to 37 on the horizontal axis and 42 to 48 on the vertical axis. A loosely packed cluster of data plots is plotted between 40 to 51 on the horizontal axis 30 and 38 on the vertical axis and. A dot is plotted at 62 on the horizontal axis and 5 on the vertical axis.
) Numbers of Cups of Coffee Sold Versus Temperature Using 8th-grade verbiage, interpret the scatterplot by describing any outliers and patterns of clustering. (4 points) Math Short Answer Rubric (4 points) This table shows the criteria for awarding points and the corresponding point values. Points Awarded Criteria 4 The answer is clear and correct. The answer shows that the student used problem-solving skills and reasoning. All work is shown or explained. 3 The answer is mostly correct. The student made small errors while solving. The answer shows that the student used some problem-solving skills and reasoning. Most work is shown or explained. 2 The answer is partially correct. The student made errors while solving. The answer shows that the student used some problem-solving skills or reasoning. Some work is shown or explained. 1 The answer is incorrect. The student made errors while solving. The answer shows little problem-solving skills or reasoning. Little or no work is shown. 0 The question is not answered. Skip to navigation
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GPT-4o mini
In the scatterplot that shows the number of cups of coffee sold against temperature, there are a few important things to notice.
First, there is a clear pattern of clustering. Most of the data points are packed closely together in two main areas. The first cluster is between temperatures of 30°F to 37°F, where the number of cups sold ranges from 42 to 48. This suggests that when the temperature is cooler, more people tend to buy coffee.
The second cluster is more loosely packed, occurring between temperatures of 40°F to 51°F, but the number of cups sold is lower, ranging from 30 to 38 cups. This shows that as the temperature rises, fewer cups of coffee seem to be sold, which is expected since warmer weather generally leads to less demand for hot beverages.
Now, let's talk about the outliers. There is a noteworthy dot that stands out at 62°F on the horizontal temperature axis and 5 cups sold on the vertical axis. This point appears to be an outlier because it is far removed from the other clusters, suggesting that even in warmer temperatures, very few cups of coffee are sold. This could indicate that at higher temperatures, people don't feel like drinking hot coffee.
Overall, the scatterplot illustrates the relationship between temperature and coffee sales, showing that fewer cups are sold as temperatures rise, while there is a notable outlier that deviates from this trend.
First, there is a clear pattern of clustering. Most of the data points are packed closely together in two main areas. The first cluster is between temperatures of 30°F to 37°F, where the number of cups sold ranges from 42 to 48. This suggests that when the temperature is cooler, more people tend to buy coffee.
The second cluster is more loosely packed, occurring between temperatures of 40°F to 51°F, but the number of cups sold is lower, ranging from 30 to 38 cups. This shows that as the temperature rises, fewer cups of coffee seem to be sold, which is expected since warmer weather generally leads to less demand for hot beverages.
Now, let's talk about the outliers. There is a noteworthy dot that stands out at 62°F on the horizontal temperature axis and 5 cups sold on the vertical axis. This point appears to be an outlier because it is far removed from the other clusters, suggesting that even in warmer temperatures, very few cups of coffee are sold. This could indicate that at higher temperatures, people don't feel like drinking hot coffee.
Overall, the scatterplot illustrates the relationship between temperature and coffee sales, showing that fewer cups are sold as temperatures rise, while there is a notable outlier that deviates from this trend.