The difference is that survreg is using a maximum likelihood estimate (MLE) of the
variance and that lm is using the unbiased (MVUE) estimate of variance. For simple linear
regression, the former divides by n and the latter by n-p. The difference in your
variances is exactly n/(n-p) = 10/8.
I would like help understanding why a survival regression with no censored
data-points does not give the same variance estimates as a linear model
(see code below).
I think it must be something to do with the fact that the variance is an
actual parameter in the survival version via the
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