dfbetas

Dfbetas is a regression diagnostic measure that computes the standardized change in each regression coefficient β_i resulting from the deletion of a single observation j from the fitting data. For a model with p predictors and n observations, dfbetas_ij = (β_i - β_i^(−j)) / se(β_i), where β_i^(−j) is the coefficient estimated without observation j and se(β_i) is the standard error of the coefficient. The measure is computed by statistical software packages (R, Python statsmodels, SAS) and reported in regression diagnostic output. It persists through the conventions of statistical computing practice and diagnostic reporting protocols. [formal: df_betas | substrate: mind | horizon: generations | explicit: yes | epoch: 0.01]