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Most statisticians would do a log transform of the predictor and response in your model:
lm(log(hospitals) ~ log(population))
When you make new predictions, you should back transform the response so it's in the non-log space.
The log transform will lead to a better model, and prettier pictures, but will be slightly harder to interpret.
The text was updated successfully, but these errors were encountered:
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Most statisticians would do a log transform of the predictor and response in your model:
lm(log(hospitals) ~ log(population))
When you make new predictions, you should back transform the response so it's in the non-log space.
The log transform will lead to a better model, and prettier pictures, but will be slightly harder to interpret.
The text was updated successfully, but these errors were encountered: