Regression, Regression Analysis, Linear Regression, Machine Learning, Data Science.
linear equation that best describes this relationship. The basic linear regression model can be represented as: Y = β₀ + β₁X + ε Y is the dependent variable. X is the independent variable. β₀ is the y-intercept (constant term). β₁ is the slope (coefficient) that quantifies the impact of X on Y. ε