In the scatterplot showing the number of cups of coffee sold versus temperature, we can see some interesting patterns and an outlier.
Clusters: There are two main clusters of data points. The first cluster is tightly packed between temperatures of 30 to 37 degrees Fahrenheit and shows coffee sales between 42 and 48 cups. This suggests that when the temperature is cooler (around 30-37°F), more cups of coffee are sold, indicating that people are likely to drink more coffee in cooler weather.
The second cluster is more spread out, ranging from 40 to 51 degrees Fahrenheit, with coffee sales between 30 and 38 cups. This indicates a slightly less consistent pattern in coffee sales, meaning that as the temperature increases to a mild level (40-51°F), people still buy coffee, but the number of cups sold varies more.
Outlier: There's one notable outlier on the scatterplot; a single point is plotted at 62 degrees Fahrenheit and only 5 cups sold. This is quite different from the rest of the data, as it shows that at a higher temperature, very few cups of coffee were sold. This could imply that on warmer days, people are less inclined to buy hot coffee, which fits with what we might expect.
In summary, the scatterplot indicates that cooler temperatures generally lead to higher coffee sales, while the outlier suggests that warmer temperatures result in significantly less interest in buying coffee.