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Counterexample

Is this true?

OLS is the BLUE in every linear model

No — it is false.

The counterexample

Yi=βxi+εiY_{i} = \beta{}x_{i} + \varepsilon_{i} with Var(εi)=σ2xi2Var(\varepsilon_{i}) = \sigma^{2}x_{i}^{2}

Why it fails

Gauss–Markov assumes constant variance; here weighted least squares (the mean of Yi/xi)Y_{i}/x_{i}) has smaller variance.

Go deeper· Explained in full in Linear models, Gauss–Markov and ANOVA· Asked in CSIR NET June 2025· From Linear Models and Multivariate › Gauss–Markov, regression, ANOVA basics

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