(symbol:
SEE) for a relationship between two variables (
x and
y) given by a
regression equation, an index of how closely the predicted value of
y for a specific value of
x matches its actual value. If
y’ is an estimated value from a regression line and
y is the actual value, then the standard error of estimate is
√[Σ(y – y’)2/n], where
n is the number of points. The smaller the standard error of estimate, the more confident one can be in the accuracy of the estimated (predicted)
y value.