Which visualization is NOT useful for analyzing correlations between numeric variables?

A histogram is primarily used to display the distribution of a single numeric variable by showing the frequency of data points within specified ranges, or bins. While it provides valuable insights into the shape and spread of a dataset, it does not illustrate relationships or correlations between two numeric variables.

In contrast, the other visualizations serve to showcase correlations. A scatter plot explicitly displays the relationship between two numeric variables by showing individual data points, making it easy to observe patterns. A box plot can be used to compare distributions across different groups and can suggest correlations when analyzing multiple numeric variables. A heatmap represents the correlation coefficients between variables in a matrix format, making the relationships between multiple variables clear and straightforward to analyze.

Thus, the histogram stands apart as it does not serve the purpose of analyzing correlations between numeric variables effectively.