What is a scatterplot used to represent?

A scatterplot is specifically designed to visually illustrate the relationship between two quantitative variables. Each point on the scatterplot represents an individual observation, with one variable plotted along the x-axis and the other along the y-axis. This allows for the analysis of trends, patterns, or correlations between the two variables, making it clear whether they move together (positive correlation), move inversely (negative correlation), or show no correlation at all.

In contrast, other options describe different types of data representation. A chart showing the frequency of data would be better represented in a histogram or bar graph, focusing on how often each value occurs rather than examining relationships between pairs of variables. Organizing categorical data typically involves methods such as tables or pie charts, which categorize data instead of exploring relationships between variables. A plot displaying a single dataset over time aligns more closely with a line graph, which emphasizes trends in the data over a continuous variable like time rather than the relationship between two separate variables.