Determines the amount of error we expect when we use a relationship to predict Y scores. It’s known as .
Formula:
\begin{equation} S_{Y’} = (S_Y)(\sqrt{1-r^2}) \end{equation}
where is the standard deviation of all Y scores.
Determines the amount of error we expect when we use a relationship to predict Y scores. It’s known as SY′.
Formula:
\begin{equation} S_{Y’} = (S_Y)(\sqrt{1-r^2}) \end{equation}
where SY is the standard deviation of all Y scores.