Pearson's correlation coefficient is a statistical measure that evaluates the strength and direction of the linear relationship between two continuous variables. It produces a value between -1 and 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 signifies no correlation. This coefficient is commonly used in various fields, including psychology, economics, and health sciences, to analyze data and identify patterns. A higher absolute value of the coefficient suggests a stronger relationship, helping researchers understand how changes in one variable may relate to changes in another.