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Could someone explain the differences among the three? It looks to me the function form is the same so they're doing the same thing, but the potential assumption on Y distribution is different between 1 and 3. And I think 1 and 2 is exactly the same thing.

  1. Log Transformations on Y in a Linear Model
  2. Log-linear regression
  3. Poisson regression
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    Can you define what you intend by log-linear regression? – Glen_b Dec 03 '21 at 14:19
  • This post may be of some relevant to you: https://stats.stackexchange.com/questions/47870/exponent-for-non-linear-regression-in-r/108989#108989 - I think there's a better one but I can't locate it right now – Glen_b Dec 03 '21 at 14:36

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