Final answer:
The scatterplot is intended to display the relationship between the number of cans of cold soda sold and the temperature on each day, helping to determine if there is a correlation or causation between these two variables.
Step-by-step explanation:
The purpose of the scatterplot in the context provided is to show the relationship between the number of cans of cold soda sold and the temperature on a particular day. Scatterplots are used to determine if there is a relationship between two quantitative variables. In this case, the ice cream shop's scatterplot would likely display the number of cans of soda (dependent variable) on the y-axis and the temperature that day (independent variable) on the x-axis. By examining the pattern of the plotted points, one could potentially discern whether higher temperatures correlate to an increase in soda sales, indicating a possible causation or at least a strong association between the two variables. If the points on the scatterplot tend to rise together, this could suggest a positive correlation, and if they represent a clear linear pattern, they might be good candidates for linear regression analysis to quantify the relationship.