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I think you inversed the relationship. Multiple R is the correlation between actual and predicted values of the dependant variable. R2 is the modelâs accuracy in explaining the dependant variable. I think there is a testable difference.
Interpretation of R. Strength of the Association: The strength of the association is measured by the sample Multiple Correlation Coefficient, R. R can be any value from 0 to +1. The closer R is to one, the stronger the linear association is.