Assuming a multiple R-squared for a regression of 0.36, the correlation between the predicted and actual values of the dependent variable is:
correlation is for 2 variables
answer is 0.6
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R^2 is the squared correlation between the actual and predicted values.
Thus, 0.36=0.6*0.6
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To exapnd after the two answers belo.
Correlation is a statisticla measure with two variables .In linear regression we can go from R2 to r - ie. correlation. (remember though it could be +/- 0.6)
With multiple regression we have more that 1 independant variable and nannot make the jump to correlation.