Why does OLS fail under high multicollinearity?

Updated May 16, 2026

Short answer

OLS becomes unstable because XᵀX becomes nearly singular.

Deep explanation

When predictors are highly correlated, XᵀX loses rank stability, making inversion unreliable. This inflates variance of coefficients even though predictions remain accurate.

Unlock with a Pro subscription to view this section.

View pricing

Real-world example

No real-world example available yet.

Unlock with a Pro subscription to view this section.

Upgrade to Pro

Common mistakes

No common mistakes listed yet.

Unlock with a Pro subscription to view this section.

Upgrade to Pro

Follow-up questions

No follow-up questions available yet.

Unlock with a Pro subscription to view this section.

Upgrade to Pro

More Linear Regression interview questions

View all →