Dear users,

Can anyone help with a rather simplistic question about the interpretation
of output using the Boot ( ) function in the Car package?

I am trying to bootstrap a simple univariate linear regression in order to
look at the bootstrap regression coefficients e.g.

mod1 <- lm (y~x)
mod1.b <- Boot(mod1, R=999)
summary (mod1.b)

This returns output like this:

                  R      original       bootBias      bootSE       bootMed
  (Intercept) 999   5.365528   -8.0960e-05   0.0501306   5.365241
  x              999   0.032211    7.3683e-05   0.0029743   0.032158

I'm having trouble finding out what "bootMed" means. If 'original' is the
non-bootstrapped regression coefficient, is bootMed the bootstrapped
regression coefficient?

I presume this is a frighteningly simple question for regular car package
users, but I can't seem to find an explanation what this means.

Best wishes

Dan Hughes

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