In data analysis, the output of correlation analysis is typically represented as a ...

• A. Graph
• B. Matrix
• C. Table
• D. Diagram

Answer: (B)

The main idea is that correlation results are expressed as a matrix because they describe pairwise relationships among variables in a structured, two-dimensional form. Each row and column represents a variable, and the value at their intersection is the correlation coefficient between those two variables. Since correlation is symmetric, the matrix mirrors that symmetry, and the diagonal contains ones since a variable is perfectly correlated with itself. This compact, numeric matrix—of size variables-by-variables (k by k)—serves as the natural foundation for further analyses and visualizations, such as heatmaps or network graphs. While you can present the numbers in a table or visualize them as a graph, the underlying, standard representation of the output is a matrix.