Correlation and Regression Calculator

Correlation and regression analysis are statistical methods for examining the relationship between two variables. Correlation measures the strength and direction of the relationship, while regression is used to model how one variable affects another. Correlation coefficient (r): Ranges from -1 to +1. Positive value = variables increase together, negative value = one increases while other decreases, close to 0 = weak relationship. For example, study hours and exam scores typically have positive correlation. Regression analysis and applications: Regression equation (y = mx + b) enables future predictions. R² value shows how well the model explains (0-1 range, close to 1 = good model). Applications: Sales forecasting (advertising spend → sales), academic performance (study time → grades), economic analysis (GDP → consumption), health research (age → risk factors).