Table 6 ANOVA results for multiple regression models.

From: Optimization of membrane dispersion ethanol precipitation process with a set of temperature control improved equipment

Process parameters

Y1

Y2

Y3

Y4

Y5

Y6

Coefficient

P value

Coefficient

P value

Coefficient

P value

Coefficient

P value

Coefficient

P value

Coefficient

P value

Constant

 − 346.607

 

325,052.805

 

21,493.781

 

 − 15,523.097

 

5054.318

 

 − 0.7618

 

X1

    

 − 54.739

0.6925

683.552

0.6011

 − 80.341

0.3744

 − 0.0014

0.0170

X2

  

 − 9928.885

0.0200

 − 9026.701

0.0203

1888.456

0.7591

 − 2716.876

0.7914

0.1024

0.0017

X3

  

 − 7009.760

0.0804

 − 221.201

0.6957

    

0.0131

0.0062

X4

    

 − 181.541

0.0020

 − 10.598

0.0174

  

 − 0.0449

0.3841

Z3

  

 − 0.614

0.0108

        

Z7

 − 2.816

0.0324

    

 − 1.946

0.0147

 − 3.419

0.0037

  

Z8

1.846

0.0006

2.889

 < 0.0001

  

0.691

0.0053

0.810

0.0025

  

X1X2

        

60.954

0.0350

  

X1X4

    

3.365

0.0834

    

0.0005

0.0532

X2X3

  

110.205

0.0045

152.158

0.0213

      

X12

      

 − 7.643

0.0386

    

X22

    

1543.544

0.0278

 − 622.660

0.0826

    

X32

  

37.338

0.0102

        

X42

          

0.0007

0.0128

R2

0.8703

0.9872

0.9431

0.9844

0.9449

0.9262

\({\text{R}}_{{{\text{adj}}}}^{2}\)

0.8443

0.9744

0.8633

0.9625

0.9005

0.8524

P value

 < 0.0001

 < 0.0001

0.0076

0.0003

0.0003

0.0036

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