Continuous data allow researchers to detect subtle variations and trends in health-related variables that may not be apparent with categorical data. This level of detail is essential for identifying risk factors, understanding disease progression, and evaluating the effectiveness of interventions. For example, small changes in blood pressure or cholesterol levels can significantly impact the risk of cardiovascular diseases.
