What is the standard error of estimate (SEE) in regression analysis?

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Grade: Education Subject: Support
What is the standard error of estimate (SEE) in regression analysis?
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The standard error of estimate (SEE) is a measure of the average size of the residuals (the differences between the observed and predicted values) in a regression model. It indicates how much the observed data deviates from the regression line. A smaller SEE suggests a better fit of the model to the data.