Dynamic Regression Model

• Dynamic regression is an advanced forecasting technique that combines regression analysis with time series components, allowing for the inclusion of external variables (predictors) while accounting for temporal dependencies.
• Unlike standard regression, dynamic regression can handle autocorrelated residuals, making it ideal for modeling relationships between a dependent variable and one or more independent variables over time.