The scatterplot reveals a distinct clustering of data points between temperatures of 30 to 37°F, where the number of cups of coffee sold ranges from 42 to 48, indicating a strong correlation between cooler temperatures and increased coffee sales. Additionally, there is a looser cluster between 40 to 51°F with sales between 30 and 38 cups. An outlier is evident at the temperature of 62°F, where only 5 cups of coffee were sold, suggesting that consumers may prefer coffee less in warmer conditions.
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.
Number of Cups of Coffee Sold Versus Temperature
Interpret the scatterplot by describing any outliers and patterns of clustering.in two to three sentences
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