Number of cups of coffee sold versus temperature interpret the scatterplot by describing any outliners and patterns of cluttering
In the scatterplot of number of cups of coffee sold versus temperature, I would expect to see a positive correlation, as colder temperatures usually lead to increased consumption of hot beverages like coffee.
Outliers in this plot could be data points where a high number of cups of coffee were sold on a warm day, or a low number of cups sold on a very cold day. These outliers could indicate unique circumstances, such as a special event or promotion that boosted sales on a warm day, or extremely adverse weather conditions that decreased sales on a cold day.
Patterns of clustering in the scatterplot could show clusters of data points where a certain range of temperatures consistently led to a specific number of cups of coffee sold. This could indicate a trend in consumer behavior, where people tend to buy more coffee within a certain temperature range.
Overall, by analyzing the scatterplot of cups of coffee sold versus temperature, we can gain insights into how weather conditions affect coffee sales and potentially identify outliers or patterns of clustering that can help inform marketing strategies or business decisions.