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 log(scale),
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