  Ionic charges were related through bulk modulus through linear regression.
These two parameters yield a straight regression line, when plotted but fall on
different positions due the variation in bulk modulus values. The calculated
values of bulk moduli reflecting elastic characteristics are in close agreement
with other available values. As, these values are only differ by average of 3%
from values of literature. Moreover, the regression resulted in a good values
of correlation coefficient (R=0.77) and Probability (P=0.001). These all show
the accuracy and reliability of the current work. The technique adopted in this
work will be helpful to material scientists for finding new materials with
referred elastic characteristics among structurally similar materials, also the
calculated data will act as reference for upcoming investigation of the studied
compounds.
