Correlation Matrix

A correlation matrix is a table that displays the correlation coefficients between multiple variables. Each cell in the matrix shows the correlation between two variables, indicating the strength and direction of their linear relationship. Correlation coefficients range from -1 to 1, where 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation. This matrix is commonly used in data analysis to identify patterns, relationships, and dependencies between variables, making it a valuable tool in fields such as statistics, finance, and machine learning.