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Suppose, for simplicity, I have a simple linear regression model, and I have transformed the response variable by taking the square root.

The pre-transformed standard error is equal to 17, and the standard error for the transformed model is 0.8. To interpret this new value of SE, I assume you can't just square the new value. If that's the case, how do I meaningfully interpret the 'transformed version' of the SE?

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