Skip to main content
. 2021 Jul 1;19(3):e2686. doi: 10.30498/ijb.2021.218725.2686

Table 2.

ANOVA analysis of Plackett–Burman design.

Source DF Adj SS Adj MS F-Value P-Value
Model 14 0.487366 0.034812 3.52 0.040*
Linear 13 0.485768 0.037367 3.78 0.033**
A 1 0.000832 0.000832 0.08 0.779
B 1 0.092616 0.092616 9.37 0.016*
C 1 0.005746 0.005746 0.58 0.468
D 1 0.063506 0.063506 6.42 0.035*
E 1 0.013468 0.013468 1.36 0.277
F 1 0.275890 0.275890 27.91 0.001*
G 1 0.003511 0.003511 0.36 0.568
H 1 0.008862 0.008862 0.90 0.371
I 1 0.004234 0.004234 0.43 0.531
J 1 0.000732 0.000732 0.07 0.792
K 1 0.000858 0.000858 0.09 0.776
L 1 0.015401 0.015401 1.56 0.247
M 1 0.000110 0.000110 0.01 0.918
Curvature 1 0.001598 0.001598 0.16 0.698
Error 8 0.079090 0.009886
Lack-of-Fit 6 0.016352 0.002725 0.09 0.991**
Pure Error 2 0.062738 0.031369
Total 22 0.566456
*

Significant values with P-Value < 0.05.

**

Lack of fit is insignificant (P- value > 0.05)