Table 2

ANOVA and regression coefficients of the second-order polynomial model for the response variables (actual values)
Source DF EE (%) Size (nm)
Coefficient Sum of squares p value Coefficient Sum of squares p value
Model 14 84.31 5,214.51 <0.0001 182.33 17,393.67 <0.0001
Linear
X1 1 -3.44 142.35 0.0166 0.58 4.08 0.7894
X2 1 -5.18 321.99 0.0013 6.42 494.08 0.0110
X3 1 5.25 331.07 0.0011 -5.08 310.08 0.0348
X4 1 -2.36 66.55 0.0815 -5.25 330.75 0.0302
Quadratic
X12 -12.21 794.46 <0.0001 -34.87 6,486.75 <0.0001
X22 -17.80 1,689.58 <0.0001 2.63 36.75 0.4286
X32 -15.91 1,350.02 <0.0001 -22.88 2,790.75 <0.0001
X42 -13.91 1,031.75 <0.0001 -17.88 1,704.08 0.0001
Interaction
X1X2 -9.68 374.81 0.0007 -8.50 289.00 0.0404
 X1X3 17.60 1,238.34 <0.0001 -6.00 144.00 0.1308
X1X4 4.45 79.30 0.0601 26.25 2,756.25 <0.0001
X2X3 5.17 106.81 0.0330 -9.25 342.25 0.0279
X2X4 -0.17 0.12 0.9372 24.50 2,401.00 <0.0001
X3X4 -2.56 26.11 0.2567 15.00 900.00 0.0016
Residual 12 220.91 657.00
Lack of fit 10 214.09 0.1452 628.33 0.1999
Pure error 2 6.82 28.67
Total 26 5,435.42 18,050.67
R2 0.9594 0.9636
Adj-R2 0.9119 0.9211
CV 7.43 4.94

Luo et al.

Luo et al. Nanoscale Research Letters 2014 9:291   doi:10.1186/1556-276X-9-291

Open Data