The percent of pathological parameters correspond to each PDS just as descriptive data is shown in
Figure 1. The Pearson correlation coefficient (r) for the correlation between each pathological parameter (vacuolization, dilatation, hyaline cast, debris or degeneration) and PDS was tabulated in
Table 1. According to data analysis mentioned in the statistical analysis, the variables having the higher discriminant function coefficient were hyaline cast, dilatation, and degeneration. These significant variables in discriminant analysis enter in the linear regression model and the prediction function was generated as shown below.
PDS = 0.445 + 0.035 × hyaline cast + 0.013 × dilatation + 0.020 × degeneration r = 0.60
On the other hand, and as indicated in
Table 1, the hyaline cast and dilatation were more correlated with PDS than other parameters. The stepwise regression analysis also indicated that the regression coefficients for the hyaline cast and dilatation were statistically significant (P < 0.001), and based on these two variables to predict the PDS from the pathology parameters, the best prediction line is as following: