What is the purpose of using scatter plots in correlation and regression analysis?

The purpose of using scatter plots in correlation and regression analysis is to visualize relationships between two variables and identify outliers. By plotting individual data points on a graph, scatter plots allow analysts to observe how one variable may change in relation to another, making it easier to see patterns, trends, and potential correlations. When reviewing a scatter plot, one can quickly determine whether a linear relationship exists, if the relationship is strong or weak, and where anomalies or outliers lie that could affect the analysis. This visualization aids in making informed decisions about the nature of the relationship between the variables involved, which is crucial in both correlation and regression analysis.

While other forms of data representation have specific purposes—such as showing distribution or summarizing categorical data—the strength of scatter plots lies specifically in their ability to illustrate the interplay between two quantitative variables.