What is the difference between correlation and cross-cueing?

What is the difference between correlation and cross-cueing?

• A. Cross-cueing is the process of integrating multiple data points to form a coherent interpretation.
• B. Correlation uses one data type to prompt examination of another.
• C. They are the same.
• D. Correlation merges multiple data points to form a coherent interpretation; cross-cueing uses one data type to prompt examination of another data type.

Answer: (C)