Regression model
= Regression model
{title2=$f_\beta(y\mid x)$}
A regression model specifies features of the <conditional distribution> of a response given predictor <covariates>, often a conditional mean or a full parametric density. <Linear regression> specifies a linear conditional mean; <logistic regression> specifies a logit-linear conditional probability for a binary response. The conditional comparison represented by a coefficient depends on which covariates are included.