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Table 6 Variance analysis of the quadratic polynomial regression model for the growth cycle

From: Assessing the effects of different agro-residue as substrates on growth cycle and yield of Grifola frondosa and statistical optimization of substrate components using simplex-lattice design

Variation sources

Sum of squares

DF

Mean square

F

P

Model

3407.93

14

243.42

71.35

< 0.0001

Linear mixed model

733.34

4

183.34

53.73

< 0.0001

X1X a2

16.54

1

16.54

4.85

0.0342

X1X3

0.86

1

0.86

0.25

0.6178

X1X4

25.43

1

25.43

7.45

0.0097

X1X5

3.51

1

3.51

1.03

0.3173

X2X3

4.10

1

4.10

1.20

0.2805

X2X4

51.26

1

51.26

15.02

0.0004

X2X5

0.15

1

0.15

0.044

0.8344

X3X4

78.88

1

78.88

23.12

< 0.0001

X3X5

21.72

1

21.72

6.37

0.0162

X4X5

2098.92

1

2098.92

615.18

< 0.0001

Residual

122.83

36

3.41

  

Lack of fit

0.00008

6

0.00001

0.000003

1.0000

Error

122.83

30

4.09

  

Sum

12,865.92

44

   
  1. aNotes are the same as Table 1
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