Hi

 I have a general statistics question on calculating confidence interval of
log transformed data.

I log transformed both x and y, regressed the transformed y on transformed
x: lm(log(y)~log(x)), and I get the following relationship:

log(y) = alpha + beta * log(x) with se as the standard error of residuals

My question is how do I calculate the confidence interval in the original
scale of x and y? Should I use

exp(alpha + beta * log(x) +- 2 * se), or, exp(alpha + beta * log(x)) +-
exp(2 * se)


Thanks,

-- 
Tom

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