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.
In the scatterplot, there is an outlier where only 5 cups of coffee were sold at a temperature of 62 degrees Fahrenheit. This data point stands out from the rest of the data, as it is far away from the other data points.
There are two main clusters of data points in the scatterplot. The first cluster is a tightly packed group of data points between 30 to 37 degrees Fahrenheit on the horizontal axis and 42 to 48 cups of coffee sold on the vertical axis. This suggests that within this temperature range, a consistent and high number of cups of coffee are sold.
The second cluster is a loosely packed group of data points between 40 to 51 degrees Fahrenheit on the horizontal axis and 30 to 38 cups of coffee sold on the vertical axis. This cluster indicates a wider range of cups of coffee sold at slightly higher temperatures.
Overall, the pattern of clustering in the scatterplot indicates that there is a relationship between temperature and the number of cups of coffee sold, with certain temperature ranges leading to higher sales.