denoted by
for the population and r
^{2} for the sample. But
or
is usually unknown. The coefficient of determination for the samples represents the
% of variation in the dependent variable y, explained by the independent variable (x) in the extimated least squares regression model ŷ
. The higher the value of r
^{2} the better it is.