Pearson's Correlation is a statistical measure that evaluates the strength and direction of the linear relationship between two continuous variables. It produces a value, known as the correlation coefficient, which ranges from -1 to 1. A coefficient close to 1 indicates a strong positive relationship, meaning that as one variable increases, the other also tends to increase. Conversely, a coefficient close to -1 indicates a strong negative relationship, where one variable increases while the other decreases. This method is widely used in various fields, including psychology, economics, and health sciences, to analyze data and identify patterns. However, it is important to note that Pearson's Correlation only measures linear relationships and does not imply causation between the variables.