A linear regression gives us a best-fit line for a scatterplot of data. The standard error of estimate (SEE) is one of the metrics that tells us about the fit of the line to the data. The SEE is the standard deviation of the errors (or residuals).

This video by Bionic turtle explains the concept of Standard Error of Estimate (SEE) in detail and illustrates how it is calculated.