Mehrvarianzenregression
Mehrvarianzenregression, also known as multivariate regression, is a statistical technique used to model the relationship between one dependent variable and two or more independent variables. It extends the concept of simple linear regression, which involves only one independent variable, by allowing for a more complex analysis of how multiple factors influence an outcome. The goal of multivariate regression is to find the best-fitting linear equation that describes this relationship.
In a multivariate regression model, the dependent variable is predicted as a linear combination of the independent
The process of multivariate regression involves estimating these coefficients by minimizing the sum of the squared