Holt’s linear method is a forecasting technique used to predict future values based on historical data. It extends simple exponential smoothing by incorporating trends, making it suitable for data that shows a consistent upward or downward movement over time. The method uses two components: a level component and a trend component, which are updated at each time step. The formula involves smoothing the level and trend separately, allowing for more accurate predictions. By adjusting the smoothing parameters, users can control how responsive the forecast is to changes in the data. This method is widely used in various fields, including finance and inventory management.