I think you inversed the relationship.
Multiple R is the correlation between actual and predicted values of the dependant variable.
R2 is the model’s accuracy in explaining the dependant variable.
I think there is a testable difference.
thx straightjacket for correction.
This meassure is of course also useful for multiple regression.
For exam purposes you need to know one thing : (multiple R)^2 = R^2
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