A correlation matrix is a table showing correlation coefficients between variables, illustrating how changes in one variable are associated with changes in another. It is a crucial tool in statistics and data analysis for identifying relationships and dependencies among multiple variables, often used in exploratory data analysis and feature selection in machine learning models.