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
OptionB is correct.
Because multiple correlation coefficient equal to the correlation of dependent variable to the values predicted by the regression equation.R2 represents the proportion of the total variance in the dependent variable that can be accounted for by the independent variables.
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