👉 Forecast math is a branch of mathematics that deals with predicting future values based on historical data, using statistical models and mathematical techniques. It involves analyzing past trends, patterns, and relationships within a dataset to make informed projections about future outcomes. Common methods include time series analysis, regression models, and machine learning algorithms that can account for seasonality, trends, and external factors. Forecast math aims to quantify uncertainty by providing confidence intervals or probability distributions, helping decision-makers understand the reliability of predictions. This approach is widely used in fields like economics, finance, weather forecasting, and supply chain management to anticipate future conditions and make strategic decisions.
