regressionmenetelmiä
Regressionmenetelmiä, or regression methods, are statistical techniques used to model the relationship between a dependent variable and one or more independent variables. The primary goal is to understand how changes in the independent variables affect the dependent variable and to predict the value of the dependent variable based on the values of the independent variables. These methods are widely used in various fields, including economics, social sciences, engineering, and medicine, for analysis and prediction.
The most common type of regression is linear regression, which assumes a linear relationship between the variables.
Other regression techniques exist to handle different types of data and relationships. Logistic regression is used
The process of applying regression methods typically involves data collection, model specification, parameter estimation, and model