[R] log log regression model

[Adams, Jean]

This is more of a statistics question than an R programming question.  I
suggest you look at Cross Validated for an answer.  I found this in a quick
search,

http://stats.stackexchange.com/questions/115571/back-transforming-regression-results-when-modeling-logy

Jean

On Thu, Dec 31, 2015 at 7:35 PM, Andras Farkas <
FarkasA at optimum-dosing-strategies.org> wrote:

>
>
> Dear All,
>
> wonder if you have a thought on the followimg: if I have a simple model
> like model <- lm(log(y)~log(x)+log(z),data=data), where both, the dependent
> and independent variables are log transformed, is it ok just to use ypred
> <- predict(model,type=response) to get the predictions , then transform
> ypred with exp(ypred)  to y's original scale to compare observed or known
> data (y) with model predicted (ypred) on the original scale?
>
> appreciate your thoughts...
>
> Andras
>
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