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Table 2 Analysis of variance of the fitted modify quadratic equation for particle size and regression coefficients of the final reduced models

From: Modeling and optimization of nanoemulsion containing Sorafenib for cancer treatment by response surface methodology

Source

Coefficient estimate

Mean square

F-value

P value

Model

84.92

86.66

7.49

0.0004

X1

−1.84

81.28

7.03

0.0200

X2

0.32

0.80

0.069

0.7969

X3

0.044

0.047

0.004099

0.9499

X4

−3.67

322.86

27.91

0.0001

X1 X2

−1.33

28.28

2.45

0.1419

X1 X3

1.04

17.15

1.48

0.2449

X1 X4

−0.43

2.95

0.26

0.6218

X2 X3

2.23

79.48

6.87

0.0211

X2 X4

1.87

55.73

4.82

0.0469

X3 X4

0.75

9.09

0.79

0.3914

X 21

−0.98

26.28

2.27

0.1557

X 22

0.43

5.09

0.44

0.5186

X 23

0.75

15.36

1.33

0.2699

X 24

2.45

164.08

14.19

0.0024

X2 X3 X4

−2.35

88.14

7.62

0.0162

X 21 X2

−5.78

178.00

15.39

0.0017

Residual

 

11.57

–

–

Lack of fit

 

14.79

2.31

0.1859

Pure error

 

6.41

–

–

 

R 2

  

0.9022

 

Adjusted R 2

  

0.7818

 

Predicted R 2

  

0.1345

 

PRESS

  

1330.20

 

Adequate precision

  

11.708

 

Standard deviation

  

3.40

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BMC Chemistry

ISSN: 2661-801X

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