Question

Which of the following is a key difference between correlation and regression?

• A. Regression measures the degree of association between two variables, while correlation helps in forecasting future outcomes.
• B. Correlation measures association; regression measures prediction.
• C. Correlation identifies causal links, whereas regression only describes the relationship without implying causation.
• D. Correlation is primarily used for data visualization, while regression is a technique for data reduction.

Answer 1

Answer:

B. Correlation measures association; regression measures prediction.

• This is a fundamental distinction.

• Correlation is a descriptive methodology that measures the degree of association.

• Regression is a predictive methodology that uses that association to forecast outcomes.