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How to derive correlation from variances

Last updated: Mar 29, 2026

Quick Overview

Tests understanding of variance–covariance relationships and identifiability of correlation from aggregate variance statistics, within the Statistics & Math domain for a Data Scientist role.

  • medium
  • Jefferies
  • Statistics & Math
  • Data Scientist

How to derive correlation from variances

Company: Jefferies

Role: Data Scientist

Category: Statistics & Math

Difficulty: medium

Interview Round: Technical Screen

You have two random variables X and Y. You are given: - Var(X + Y) - Var(X) 1) Is the correlation Corr(X, Y) identifiable from only these two quantities? Explain why/why not. 2) If, in addition, you are also given Var(Y), derive Corr(X, Y) in terms of Var(X + Y), Var(X), and Var(Y). Assume finite second moments and that all variances are computed under the same probability model.

Quick Answer: Tests understanding of variance–covariance relationships and identifiability of correlation from aggregate variance statistics, within the Statistics & Math domain for a Data Scientist role.

Related Interview Questions

  • How to compute correlation from variances - Jefferies (easy)
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Jefferies
Jul 13, 2025, 12:00 AM
Data Scientist
Technical Screen
Statistics & Math
1
0

You have two random variables X and Y.

You are given:

  • Var(X + Y)
  • Var(X)
  1. Is the correlation Corr(X, Y) identifiable from only these two quantities? Explain why/why not.
  2. If, in addition, you are also given Var(Y), derive Corr(X, Y) in terms of Var(X + Y), Var(X), and Var(Y).

Assume finite second moments and that all variances are computed under the same probability model.

Solution

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