👉 Correlation math, specifically Pearson's correlation coefficient, measures the linear relationship between two variables, quantifying how closely they move together. It ranges from -1 to 1, where -1 indicates a perfect negative correlation (as one variable increases, the other decreases), 0 signifies no linear relationship, and 1 denotes a perfect positive correlation (both variables increase or decrease together). This metric is crucial for understanding the strength and direction of associations, aiding in predictions and data analysis across various fields like economics, biology, and social sciences.
