Tables can be powerful tools for analyzing data, but identifying negative correlation can be difficult. In this article, we explore what negative correlation is, how to identify it in tables, and why it matters. We offer tips for spotting negative correlation, common errors to avoid, and examples to help illustrate important concepts. By mastering negative correlation in tables, you’ll be better equipped to make data-driven decisions and derive valuable insights from your analyses.