Can Pooled Correlation Exceed Every Group Correlation?

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Quick Overview

Use covariance decomposition to explain how three groups with correlation 0.05 can have pooled correlation 0.10. A concrete construction separates within-group relationships from differences in group means.

Can Pooled Correlation Exceed Every Group Correlation?

Company: Tower

Role: Quantitative Researcher

Category: Statistics & Math

Difficulty: medium

Interview Round: Technical Screen

A dataset has 100,000 observations with variables x1 and x2. It is divided into three groups of approximately equal size. Within each group, the Pearson correlation between x1 and x2 is 0.05. Could the correlation after pooling all three groups be 0.10? ### Constraints and Clarifications The original equal-three-way split cannot be exact for 100,000 observations; group sizes 33,333, 33,333, and 33,334 preserve the intended comparison. Treat correlations as empirical population-moment correlations, using consistent weights. No equality of group means or variances is stated. ### What a Strong Answer Covers Give a constructive explanation using within-group covariance and variation in group means. Explain why averaging the three correlations does not generally produce the pooled correlation. ### Follow-up Questions - What additional assumptions would make pooled correlation equal the within-group value? - Can pooled correlation have the opposite sign from every within-group correlation?

Overview: Use covariance decomposition to explain how three groups with correlation 0.05 can have pooled correlation 0.10. A concrete construction separates within-group relationships from differences in group means.

Read the full Tower Quantitative Researcher interview experience this question came from

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Tower
Oct 24, 2026
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A dataset has 100,000 observations with variables x1 and x2. It is divided into three groups of approximately equal size. Within each group, the Pearson correlation between x1 and x2 is 0.05. Could the correlation after pooling all three groups be 0.10?

Constraints and Clarifications

The original equal-three-way split cannot be exact for 100,000 observations; group sizes 33,333, 33,333, and 33,334 preserve the intended comparison. Treat correlations as empirical population-moment correlations, using consistent weights. No equality of group means or variances is stated.

What a Strong Answer Covers Guidance

Give a constructive explanation using within-group covariance and variation in group means. Explain why averaging the three correlations does not generally produce the pooled correlation.

Follow-up Questions Guidance

  • What additional assumptions would make pooled correlation equal the within-group value?
  • Can pooled correlation have the opposite sign from every within-group correlation?