Given a curved regression, the correlation index is defined by r_c congruent s_(yy^^)/(s_y s_(y^^)), where s_y and s_(y^^) are the standard deviations of the data points y and the estimates y^^ given by the regression line. Unfortunately, the quantity s_(yy^^) appears not to be defined by Kenney and Keeping.