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. 2018 Aug 8;2018:7170539. doi: 10.1155/2018/7170539

Table 6.

Statistical parameters of ANOVA and obtained regression coefficients for different degradation.

R2 R2 Predicted R2 Adjusted Adequate precision Regression coefficients
b0 b1 b2 b3 b12 b23 b13 b123
Acid degradation

y 1 0.9736 0.8943 0.9537 16.724 20.75 8.60 / 8.35 / / 2.76 /
y 2 0.9823 0.9293 0.9691 23.526 0.17 / 0.066 / / 0.029 0.026 /
y 3 0.9701 0.8806 0.9477 15.756 20.21 8.53 / 8.33 / / 2.53 /

Alkali degradation

y 1 0.9810 0.9241 0.9668 22.878 38.79 4.43 9.51 14.39 / / / /
y 2 0.9590 0.8362 0.9283 15.000 0.13 / / 8.7E−3 0.016 0.031 /
y 3 0.9730 0.8920 0.9527 17.544 30.31 3.32 5.34 14.69 / / / /

Oxidative degradation

y 1 0.9328 0.7312 0.8824 9.504 2.73 / 0.79 1.41 / 0.61 / /
y 2 0.9595 0.8382 0.9292 14.839 0.10 0.017 0.017 0.050 / / / /
y 3 0.9943 0.9771 0.9900 29.558 1.28 / 0.16 1.14 / 0.15 / /

Thermal degradation

y 1 0.9439 0.7755 0.9158 8.203 14.05 8.90 / / / / / /
y 2 0.9918 0.9672 0.9877 22.000 0.16 0.11 / / / / / /
y 3 0.9383 0.7531 0.9074 7.797 12.06 7.45 / / / / / /

Linear mathematical model of the measured response y = b0 + b1x1 + b2x2 + b3x3 + b12x1x2 + b13x1x3 + b23x2x3 + b123x1x2x3,

where y is the response [y1: amount of total impurities (%); y2: amount of impurity with RRT 1.16 (%); y3: amount of Simvastatin impurity A (%)], xi is investigated factors [for acid, alkali, and oxidative degradation; x1 represents stressor strength (0.01 M and 0.1 M HCl/NaOH or 3% and 30% H2O2 for hydrolysis and oxidative degradation respectable); x2 represents temperature and x3 represents time of exposure. For thermal degradation x1 is temperature and x2 is time of exposure]; b0 is the intercept b1, b2 and b3, b12, b23, b12, and b123 as regression coefficients for the variables and interaction between the variables.