Uncorrelated errors refer to the condition in statistical models where the error terms are not related to each other, ensuring that the variability in the dependent variable is not systematically influenced by the errors in the model. This assumption is crucial for the validity of many statistical methods, as it guarantees that the estimators remain unbiased and efficient.