In simple correlation a squared correlation coefficient tells us the percentage of variability in Y associated with variability in X. In multiple regression, the squared multiple correlation coefficient
a. has the same kind of meaning.
b. has no meaning.
c. overestimates the degree of variance accounted for.
d. underestimates the degree of variance accounted for.
Question 2
The multiple correlation of several variables with a dependent variable is
a. less than the largest individual correlation.
b. equal to the correlation of the dependent variable to the values predicted by the regression equation.
c. noticeably less than the correlation of the dependent variable to the values predicted by the regression equation.
d. It could take on any value.
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