On the other hand, agreement is reached only if points are on the line (or in an area) of equality of the two notations (Bland and Altman, 1986); Liao et al., 2010). We also examined the factors that could influence the probability of obtaining two statistically divergent assessments and described the magnitude of the differences observed. These analyses focused on reliability and consistency between evaluators, as well as related measures. In this final section, we turn to Pearson correlation coefficients to study the linear relationship between credit ratings and their strength within and between evaluating subgroups. (v.) denotes the mean of the sample of ui (vi) The pearson correlation p⌢ is between -1 and 1, 1 (-1) indicating a perfect positive correlation (negative) and 0 does not indicate an association between the variables. .