What is the difference between standard error of estimate and standard deviation?

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What is the difference between standard error of estimate and standard deviation?
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Both measure variability, but they do so differently. Standard deviation measures the spread of the *entire* dataset around the mean. Standard error of estimate measures the spread of the *predicted* values around the regression line. Essentially, the standard error of estimate is a subset of the standard deviation, focusing on prediction errors.