Standard Error of the Estimate (3 of 3)
Next section: Partitioning the sums of squares
One typically does not know the population parameters and therefore has
to estimate from a sample. The symbol s
est is used for the estimate
of σ
est. The relevant formulas are:
and
where r is the sample correlation and S
y is
the sample standard deviation of Y. (Note that S
y
has a capital rather than a small "S" so it is
computed with N in the denominator). The similarity between
the standard error of the estimate and the standard
deviation should be noted: The standard deviation is the
square root of the average squared deviation from the mean;
the standard error of the estimate is the square root of the
average squared deviation from the regression line. Both
statistics are measures of unexplained variation.
Next section: Partitioning the sums of squares