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Table 6 ANOVA for response surface quadratic model—brake power

From: Experimental assessment and optimization of the performance of a biodiesel engine using response surface methodology

Source

Sum of squares

df

Mean square

F-value

P-value

 

Model

6.26

9

0.696

2802.62

 < 0.0001

Significant

A: Load

3.29

1

3.29

13,246.76

 < 0.0001

 

B: Compression Ratio

0.1682

1

0.1682

677.32

 < 0.0001

 

C: Fuel blends

1.63

1

1.63

6559.78

 < 0.0001

 

AB

0.1056

1

0.1056

425.34

 < 0.0001

 

AC

0.0256

1

0.0256

103.09

0.0002

 

BC

0.0812

1

0.0812

327.08

 < 0.0001

 

A2

0.0212

1

0.0212

85.5

0.0002

 

B2

0.0217

1

0.0217

87.39

0.0002

 

C2

0.9078

1

0.9078

3655.39

 < 0.0001

 

Residual

0.0012

5

0.0002

   

Lack of fit

0.0012

3

0.0004

11.75

0.0794

Not significant

Pure error

0.0001

2

0

   

Cor total

6.27

14

    
  1. R2 = 99.98%, adjusted R2 = 99.94%, “Cor” is ‘Corrected total sum of squares’