In the scatterplot, there is an outlier where 62 cups of coffee were sold at a temperature of around 37 degrees Fahrenheit. This point stands out as it is significantly higher than the rest of the data points.
There are two distinct patterns of clustering in the scatterplot. The first cluster is tightly packed, showing that between temperatures of 30 and 37 degrees Fahrenheit, and sales of 42 to 48 cups of coffee are consistently high. The second cluster is more loosely packed, showing that between temperatures of 40 to 51 degrees Fahrenheit, and sales of 30 to 38 cups of coffee vary more widely.
Overall, the scatterplot suggests a strong relationship between temperature and the number of cups of coffee sold, with some variations in sales patterns at different temperature ranges.
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
Interpret the scatterplot by describing any outliers and patterns of clustering.
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