The most common types of forecasting models are time-series models and casual models. Time-series models use historical data to develop forecasts. Casual models use cause-and-effect relationships to develop forecasts. Most forecasting models are based on linear relationships between the variables. However, nonlinear relationships can also be modeled. Forecasting analysis is used in a variety of applications, such as sales forecasting, energy demand forecasting, and weather forecasting. It can also be used to make pricing, inventory management, and production planning decisions.