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Having some trouble understanding $\ln$ and $\exp$ rules and what to do in this situation. Perhaps it has just been a very long day...

$\hat{Y} = \exp \left[\left(\hat{\beta_0} + \sum_i \hat{\beta_i}{x_i}\right)\space A' \right] $

Solving for $A'$.

  • 2
    Are $\hat{Y}$ and $A'$ matrices or real numbers ?2012-08-03

1 Answers 1

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Hint:

$\ln$ and $\exp$ are inverse of each others. So if $ y = \exp(x) $ this means $ \ln(y) = \color{red}{\ln(\exp}(x)) = x. $ In your case take $\ln$ of both sides. Can you take it from here?