Hоlding аll else cоnstаnt (e.g., number оf predictors/feаtures, DGP, irreducible error), what is the impact of the training set sample size on the bias of a linear regression model fit with those data (IMPORTANT, I am talking about the bias of the model itself, not our assessment of its performance)?