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Table 3 ANOVA analysis of the predicted responses for quadratic polynomial models

From: Optimization of an efficient solid-phase enrichment medium for Salmonella detection using response surface methodology

Group Equation Source SS DF MS F-value Prob > F
Y1 CV% = 8.69 Model (Y1) 6080.75 9 675.64 13.76 0.0002
R2 = 0.9253 Residual 491.00 10 49.10   
AdjR2 = 0.8580 Lack-of-fit 445.27 5 89.05 9.74 0.0130
PredR2 = − 0.4747 Pure error 45.73 5 9.15   
AdeqP = 10.773 Total 6571.75 19    
Y2 CV% = 6.56 Model (Y2) 6418.45 9 713.16 25.47 < 0.001
R2 = 0.9582 Residual 279.98 10 28.00   
AdjR2 = 0.9206 Lack-of-fit 271.65 5 54.33 32.60 0.0008
PredR2 = 0.6907 Pure error 8.33 5 1.67   
AdeqP = 15.404 Total 6698.44 19    
  1. SS sum of squares, DF degrees of freedom, MS mean squared, CV% variation coefficient, R2 determination coefficient, AdjR2 adjusted R-squared, PredR2 predR-squared, A deqP adequate precision
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