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.(4 points)
In this scatterplot, there is one outlier, which is represented by a single dot at 62 on the horizontal axis (temperature) and 5 on the vertical axis (number of cups sold). This outlier indicates that on a day with a temperature of 62 degrees Fahrenheit, only 5 cups of coffee were sold, which is significantly lower compared to the rest of the data points.
In terms of clustering, there are two distinct clusters shown in the scatterplot. The first cluster is tightly packed between 30 to 37 on the horizontal axis and 42 to 48 on the vertical axis. This cluster suggests that on days with temperatures ranging from 30 to 37 degrees Fahrenheit, a consistent number of cups of coffee (42 to 48 cups) are sold.
The second cluster is loosely packed between 40 to 51 on the horizontal axis and 30 to 38 on the vertical axis. This cluster indicates that on days with temperatures ranging from 40 to 51 degrees Fahrenheit, the number of cups of coffee sold varies more widely, ranging from 30 to 38 cups.
Overall, the scatterplot shows that temperature has an impact on the number of cups of coffee sold, with some variability in sales depending on the temperature range.