Linear Prediction
Linear prediction is a statistical method used to estimate future values based on past data. It assumes that the relationship between variables can be represented as a straight line, allowing for simple calculations. This technique is commonly applied in fields like economics, signal processing, and machine learning to forecast trends and make informed decisions.
In linear prediction, a model is created using historical data points, which helps identify patterns. The model then uses these patterns to predict unknown values. This approach is effective when the underlying relationship is linear, making it a valuable tool for analysts and researchers.