regresszióanalízist

Regresszióanalízis, or regression analysis in English, is a statistical method used to examine the relationship between a dependent variable and one or more independent variables. It aims to model and understand how changes in the independent variable(s) affect the dependent variable. The primary goal is to estimate the strength and direction of these relationships and to predict the value of the dependent variable based on the values of the independent variables.

There are various types of regression analysis, with linear regression being one of the most common. Linear regression assumes a linear relationship between the variables, meaning the relationship can be represented by a straight line. Other forms include polynomial regression, logistic regression (used for categorical dependent variables), and multiple regression, which involves more than one independent variable.

The process typically involves collecting data, choosing an appropriate regression model, estimating the model's parameters (coefficients), and then evaluating the model's goodness of fit. This evaluation helps determine how well the model explains the variation in the dependent variable. Regression analysis is widely applied in fields such as economics, finance, social sciences, and engineering for forecasting, hypothesis testing, and understanding complex phenomena.