Regression aims to predict the numerical value of one or more dependent variables based on the values of one or more predictor variables.
Regression, or value prediction, is used in various fields such as finance, economics, and engineering to forecast future values based on historical data. It works by training a model using data items for which both predictor and dependent variables are known, and then using this model to predict values for new data items where only the predictor variables are known.
For example, in real estate, value prediction can be used to estimate the price of a house (dependent variable) based on features like location, size, and number of bedrooms (predictor variables).
- Related terms
- Predictor Variables Dependent Variables Regression Analysis