
Financial Risk Manager Part 1
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A zero correlation between two variables indicates that:
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TTanishq
Explanation:
Explanation
Correct Answer: B
A zero correlation (ρ = 0) between two variables specifically indicates that there is no linear relationship between them. However, this does not necessarily mean the variables are independent.
Key Points:
- Correlation measures linear relationships only - It quantifies how well two variables can be described by a straight line
- Independence vs. Zero Correlation:
- If two variables are independent, they must have zero correlation
- However, zero correlation does NOT guarantee independence
- Variables can have zero correlation but still be related through nonlinear relationships
Example:
Consider the relationship between X and Y = X². If X is symmetric around zero (e.g., normally distributed), the correlation between X and X² will be zero, but they are clearly not independent - Y is completely determined by X.
Therefore, option B is correct because zero correlation specifically means no linear relationship exists, while option A is incorrect because zero correlation doesn't guarantee independence.
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