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Relate Y-on-X and X-on-Y coefficients

Last updated: Mar 29, 2026

Quick Overview

This question evaluates understanding of simple linear regression theory, specifically the algebraic relationship between the slope of Y on X and the slope of X on Y, interpretation of R^2, sign implications, and behavior under standardization, testing statistical reasoning competency in the Statistics & Math domain.

  • medium
  • Citadel
  • Statistics & Math
  • Data Scientist

Relate Y-on-X and X-on-Y coefficients

Company: Citadel

Role: Data Scientist

Category: Statistics & Math

Difficulty: medium

Interview Round: Technical Screen

In simple linear regression with intercepts, suppose you regress Y on X and obtain slope β_Y|X and coefficient of determination R^2 (for that regression). Without refitting, what is the slope β_X|Y from regressing X on Y? Express it in terms of β_Y|X and R^2, state any assumptions, and prove the relationship. Then extend your answer to standardized variables (mean 0, variance 1) and discuss the sign when β_Y|X < 0.

Quick Answer: This question evaluates understanding of simple linear regression theory, specifically the algebraic relationship between the slope of Y on X and the slope of X on Y, interpretation of R^2, sign implications, and behavior under standardization, testing statistical reasoning competency in the Statistics & Math domain.

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Citadel
Oct 13, 2025, 9:49 PM
Data Scientist
Technical Screen
Statistics & Math
6
0
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Relating Slopes When Reversing Simple Linear Regression

Context

You fit an ordinary least squares (OLS) simple linear regression with an intercept of Y on X, obtaining the slope β_Y|X and the coefficient of determination R^2 (for that regression). Without refitting a new model, determine the slope β_X|Y from regressing X on Y.

Task

  • Express β_X|Y in terms of β_Y|X and R^2.
  • State any assumptions needed.
  • Prove the relationship.
  • Extend the result to standardized variables (mean 0, variance 1).
  • Discuss the sign of β_X|Y when β_Y|X < 0.

Solution

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