Which visualization shows relationships or correlations between two numeric variables?

A scatter plot is used to show the relationship or correlation between two numeric variables by plotting them on a two-dimensional graph. Each point on the scatter plot represents an observation, with its position determined by the values of the two variables being analyzed. This visualization allows for an immediate visual assessment of any patterns, trends, or correlations—such as linear or non-linear relationships—between the variables. If the points cluster around a line, it indicates that there is a correlation; if they are scattered without any discernible pattern, it suggests little to no correlation.

In contrast, a box plot is used to display the distribution of a single numeric variable and understand its quartiles and outliers, while a line graph typically represents trends in a single variable over time rather than the relationship between two variables. A histogram is designed to show the distribution of a single variable, grouping data into bins to visualize frequency counts, rather than exploring interactions between two numeric variables. Therefore, the scatter plot is the most appropriate choice for examining correlations between two numeric variables.