What information can you gain from a scatterplot that you cannot from a correlation coefficient?

A scatterplot visually displays the relationship between two variables, allowing you to see the individual data points for each pair of measurements. This offers a unique advantage over a correlation coefficient, which summarizes the strength and direction of the relationship but does not convey specific data points or how they are distributed. By examining a scatterplot, you can identify patterns, clusters, or outliers, and gain insight into the nature of the relationship between the variables, which a single correlation value cannot provide. This level of detail allows for a more nuanced interpretation of the data, highlighting any potential anomalies or variations that may be present.