The paper analyzes how the enlarging of the sample affects to the mitigation of collinearity concluding that it may mitigate the consequences of collinearity related to statistical analysis but not necessarily the numerical instability. The problem that is addressed is of importance in the teaching of social sciences since it discusses one of the solutions proposed almost unanimously to solve the problem of multicollinearity. For a better understanding and illustration of the contribution of this paper, two empirical examples are presented and not highly technical developments are used.

翻译：本文分析了扩大样本量如何影响共线性的缓解，得出结论：扩大样本量可能减轻与统计分析相关的共线性后果，但不一定能解决数值不稳定性问题。该研究在社会科学教学中具有重要意义，因为它讨论了几乎被一致认可的解决多重共线性问题的方案之一。为了更好地理解和说明本文的贡献，文中提供了两个实证案例，并避免使用高度技术化的推导过程。