Based on the scatterplot, there is one outlier, where 62 cups of coffee were sold at a temperature of around 30 degrees Fahrenheit. This data point is significantly higher than the rest of the data points and can be considered an outlier.
There are two main patterns of clustering in the scatterplot.
- The tightly packed cluster of data points between 30 to 37 degrees Fahrenheit and 42 to 48 cups of coffee sold suggests that there is a positive correlation between temperature and the number of cups of coffee sold within this range. As the temperature increases within this range, the number of cups of coffee sold also tends to increase.
- The loosely packed cluster of data points between 40 to 51 degrees Fahrenheit and 30 to 38 cups of coffee sold does not show a clear correlation between temperature and the number of cups of coffee sold. This suggests that other factors may be influencing the number of cups of coffee sold within this range.
se 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 Interpret the scatterplot by describing any outliers and patterns of clustering. (4 points)
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