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Table 5 Analysis of variance for mean roughness depth Rz (μm) (reduced quadratic model)

From: Application of response surface methodology for prediction and modeling of surface roughness in ball end milling of OFHC copper

Source DF Sum of squares Adj. mean square F value p value Cont. % Remarks
Regression 10 16.3434 1.6343 1220.36 0.000   Significant
Linear 4 3.8661 0.9665 721.70 0.000   
f z 1 0.2904 0.2904 216.84 0.000 1.77 Significant
a p 1 0.7491 0.7491 559.33 0.000 4.57 Significant
a e 1 2.7473 2.7472 2051.38 0.000 16.78 Significant
V c 1 0.0793 0.0794 59.25 0.000 0.48 Significant
Square 4 12.4276 3.1069 2319.92 0.000   
fz × fz 1 3.6310 3.6310 2711.28 0.000 22.18  
ap × ap 1 3.2831 3.2831 2451.52 0.000 20.05  
ae × ae 1 5.2588 5.2588 3926.78 0.000 32.12  
Vc × Vc 1 4.1584 4.1584 3105.06 0.000 25.40  
Interaction 2 0.0497 0.0249 18.56 0.000   
fz × ae 1 0.0272 0.0272 20.33 0.000 0.14  
ae × Vc 1 0.0225 0.0225 16.80 0.001 0.16  
Error 20 0.0268 0.0013     
Lack-of-fit 14 0.0236 0.0017 3.22   0.079 Not significant
Pure error 6 0.0031 0.0005     
Total 30 16.3702      
      R 2   0.9984
      \( {R}_{adj.}^2 \)   0.9975