The Unstandardized Predicted Value and the Standardized Predicted Value have
a perfect correlation because they are simple linear transformations of one
another. Illustrattively, the standardized predicted value involves the
subtraction of a constant (the mean predicted value) from each predicted
value, and division by a constant (the standard deviation of the predicted
values).
The adjusted predicted value is somewhat more complicated. This is the
predicted value for a case when it is excluded from the computation of the
regression coefficients.
http://spssx-discussion.1045642.n5.nabble.com/regression-predicted-values-td1069695.html
a perfect correlation because they are simple linear transformations of one
another. Illustrattively, the standardized predicted value involves the
subtraction of a constant (the mean predicted value) from each predicted
value, and division by a constant (the standard deviation of the predicted
values).
The adjusted predicted value is somewhat more complicated. This is the
predicted value for a case when it is excluded from the computation of the
regression coefficients.
http://spssx-discussion.1045642.n5.nabble.com/regression-predicted-values-td1069695.html
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