Correlation is a statistical measure of how strong the relationships are between __________ in a data set.

• A. Records
• B. Attributes
• C. Observations
• D. Clusters

Answer: (B)

Correlation measures how strongly two attributes in a data set vary together across all observations. It captures both the strength and the direction of their linear relationship, so it’s about relationships between variables (columns) rather than about individual data points (rows) or about grouping data into clusters. This is why attributes is the best fit. For example, height and weight tend to rise together, showing a positive correlation, while two unrelated attributes would show little or no correlation.