linkfüggvényt
A linkfüggvényt, often translated as "link function" in English, is a fundamental component in generalized linear models (GLMs). It establishes a connection between the expected value of a response variable and the linear predictor, which is a linear combination of the independent variables. In simpler terms, while a standard linear regression assumes a direct linear relationship between the mean of the response and the predictors, GLMs allow for a more flexible relationship by transforming the expected value through the link function.
The choice of link function depends on the nature of the response variable and the assumed distribution
The link function is crucial because it allows GLMs to handle response variables that do not follow