Skip to main content
. 2013 Sep 6;4(4):411–424. doi: 10.1007/s13205-013-0169-6

Table 1.

Statistical analysis for the results from Plackett–Burman experimental design

Model term Coefficient estimate Computed t value p value Confidence level (%)
(a) Coefficient values, t and p value for each variable
 Intercept 0.33265 51.00 0* 100
 CMC (X1) 0.11625 17.82 0* 100
 Yeast extract (X2) 0.04215 6.46 0* 100
 Peptone (X3) 0.02675 4.10 0.001* 99.9
 K2HPO4 (X4) 0.00755 1.16 0.268 73.2
 MgSO4·7H2O (X5) −0.01105 −1.69 0.114 88.6
 NaCl (X6) 0.00755 1.16 0.268 73.2
Variable SS DF MS F value p value
prob > F
(b) ANOVA for the model
 Constant 0.325 6 0.0541 63.62 0
 CMC (X1) 0.27 1 0.27 317.59 0
 Yeast extract (X2) 0.0355 1 0.0355 41.75 0
 Peptone (X3) 0.0143 1 0.0143 16.82 0.001
 K2HPO4 (X4) 0.00114 1 0.00114 1.34 0.268
 MgSO4·7H2O (X5) 0.00244 1 0.00244 2.87 0.114
 NaCl (X6) 0.00114 1 0.00114 1.16 0.268
 Residual 0.0111 13 0.000851 1.34
 Total 0.336 19

DF degrees of freedom, SS sum of squares, MS mean square

* Significant p values, p ≤ 0.05; R2 = 0.9671; predicted R2 = 0.9220; adjusted R2 = 0.9519