FRM 2026 Part I Quantitative Analysis Correlation Analysis Free Quiz 1

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FRM 2026 Part I Quantitative Analysis Correlation Analysis Free Quiz 1

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FRM 2026 Part I Quantitative Analysis Correlation Analysis Free Quiz 1

Practice FRM 2026 Part I Quantitative Analysis MCQs from Correlation Analysis. Get instant results with Explanation.

General10 MCQs

1. What is correlation analysis?

A. Correlation measures the causal relationship between variablesB. Correlation measures the strength and direction of a linear relationshipC. Correlation is always positiveD. Correlation can be greater than 1

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

A. Pearson r = Cov(X,Y) × σX × σYB. Pearson r = σX × σY / Cov(X,Y)C. Pearson r = Cov(X,Y) / (σX σY)D. Pearson r = Cov(X,Y) + σX + σY

3. What is Spearman's rank correlation?

A. Spearman correlation is based on ranks, not actual valuesB. Spearman correlation is the same as Pearson correlationC. Spearman correlation assumes a linear relationshipD. Spearman correlation is always positive

4. What is Kendall's tau?

A. Kendall tau is the same as Pearson rB. Kendall tau is based on the means of the variablesC. Kendall tau is not a correlation measureD. Kendall tau is based on concordant and discordant pairs

5. What is the relationship between correlation and causation?

A. Correlation always implies causationB. Correlation does not imply causationC. Correlation is a measure of causationD. Correlation and causation are the same

General10 MCQs

6. What is the relationship between R² and the correlation coefficient?

A. R² = rB. R² = √rC. R² = r²D. R² = 1 - r

7. What is covariance?

A. Covariance measures the linear dependence between variablesB. Covariance ranges from -1 to 1C. Covariance is scale-independentD. Covariance is always positive

8. What is a correlation matrix?

A. A correlation matrix shows the covariance between variablesB. A correlation matrix shows the mean and variance of variablesC. A correlation matrix shows the p-values of coefficientsD. A correlation matrix shows the correlation coefficients between multiple variables

9. How is the strength of correlation interpreted?

A. A correlation of 0 indicates a strong relationshipB. A correlation close to +1 or -1 indicates a strong linear relationshipC. A correlation of -1 indicates no relationshipD. A correlation of 0.5 is always significant

10. What is partial correlation?

A. Partial correlation is the same as simple correlationB. Partial correlation does not control for other variablesC. Partial correlation measures the relationship while controlling for other variablesD. Partial correlation is used only in regression

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Foundations of Risk Management: 25 MCQs
Quantitative Analysis: 25 MCQs
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