Bootstrapping confidence intervals for prediction based on SE of the coefficients?

Is it remotely legitimate to use the standard errors of the coefficients from linear regression in a Monte Carlo simulation to bootstrap 2.5%/97.5% confidence intervals on the predictions? If so (or if not), is there any literature relevant to this approach?