If we were to re-run the experiment many times, and estimate linear model terms (beta-hat) each time, this is called the sampling distribution of the estimates. If we take the standard deviation of all of these estimates from repetitions of the experiment, this is called the standard error of the estimate. While we are not sampling individuals, you can think about the repetition of the experiment that we are "sampling" new errors in our observation of Y.
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