Numbers of cups of coffee sold versus temperature interpret the scatter plot by describing any outliers and patterns of clustering
In the scatter plot representing numbers of cups of coffee sold versus temperature, we can observe that there are a few outliers present in the data. These outliers may represent unusually high or low numbers of cups sold at certain temperatures, which could be due to specific events or circumstances on those particular days.
Overall, there appears to be a pattern of clustering in the data, indicating that there is a relationship between temperature and the number of cups of coffee sold. This clustering suggests that as temperatures increase or decrease, the number of cups sold also tends to increase or decrease, respectively. This could be due to factors such as people seeking to warm up with hot coffee on colder days or opting for cold coffee beverages on hotter days.
Additionally, there may also be a threshold temperature at which coffee sales peak, as indicated by a concentration of data points around a certain temperature range. Overall, this scatter plot suggests a correlation between temperature and coffee sales, with outliers representing deviations from the general trend.