CFA 2026 Level I Quant Methods Correlation Free Quiz 1

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CFA 2026 Level I Quant Methods Correlation Free Quiz 1

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CFA 2026 Level I Quant Methods Correlation Free Quiz 1

Practice CFA 2026 Level I Quant Methods MCQs from Correlation. Get instant results with Explanation.

General5 MCQs

1. What does correlation measure?

A. The strength and direction of the linear relationship between two variables.B. The degree to which two variables move together, measured in squared units.C. The relationship between a dependent variable and one or more independent variables.D. The cause-and-effect relationship between two variables.

2. What is the formula for the Pearson correlation coefficient?

A. r = Cov(X,Y) / (σX^2 * σY^2)B. r = Cov(X,Y) / (σX * σY)C. r = Cov(X,Y)^2 / (σX * σY)D. r = Cov(X,Y) / (σX^2)

3. What is the range of the correlation coefficient?

A. 0 to 1B. -∞ to +∞C. -1 to +1D. 0 to ∞

4. What does a correlation coefficient of +1 indicate?

A. No linear relationshipB. Perfect negative linear relationshipC. Moderate positive linear relationshipD. Perfect positive linear relationship

5. What does a correlation coefficient of -1 indicate?

A. Perfect negative linear relationshipB. No linear relationshipC. Perfect positive linear relationshipD. Moderate negative linear relationship

General5 MCQs

6. What does a correlation coefficient of 0 indicate?

A. Perfect positive linear relationshipB. No linear relationshipC. Perfect negative linear relationshipD. Moderate positive linear relationship

7. What is the coefficient of determination (R²)?

A. The correlation coefficientB. The covarianceC. The proportion of variance explainedD. The standard error

8. What is the formula for the t-test for correlation?

A. t = r * √(n) / √(1-r²)B. t = r² * √(n-2) / √(1-r²)C. t = r * √(n-2) / (1-r)D. t = r * √(n-2) / √(1-r²)

9. What are the degrees of freedom for the t-test for correlation?

A. n - 2B. n - 1C. nD. n1 + n2 - 2

10. Which correlation measure is non-parametric and based on ranks?

A. Pearson correlationB. Spearman's rank correlationC. Kendall's tauD. Coefficient of determination

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