Shrinkage refers to
◦ lowered accuracy in a prediction equation when it is applied to a new sample.
◦ effects of unreliable instruments underestimating the correlation.
◦ combining many variables in order to predict the most amount of variance.
◦ a measure of the error found in a regression equation.