Certified Quality Engineer (CQE) Practice Exam 2025 - Comprehensive All-in-One Study Guide for Exam Success!

A correlation table is used to show the relationship between two variables, indicating the strength and direction of their relationships. The best match from the provided options is a scatter diagram, which visually represents this same relationship by plotting one variable against another on a two-dimensional graph. Each point on the scatter diagram corresponds to an observation, and the pattern of points can help to visualize correlations, whether positive, negative, or non-existent.

In a correlation table, a value close to +1 or -1 indicates a strong relationship, while a value near 0 suggests little to no correlation, similar to how one would interpret the clustering of points in a scatter diagram. Thus, scattered points that trend upward suggest a positive correlation, while those trending downward indicate a negative correlation, mirroring what the correlation table provides in numerical form.

The other options do not serve the same purpose as a correlation table. A check sheet is primarily used for data collection and organization rather than analyzing relationships between variables. A control chart is designed to monitor a process over time, focusing on variations rather than correlations. A Pareto diagram highlights the most significant factors in a dataset based on frequency or impact, which does not directly illustrate relationships between variables as a scatter diagram does.