Table 5. Estimated regression coefficients in the optimization of nutrient factors by central composite design.

The table shows the regression analysis of the nutrient factors with their corresponding P-value. R Square 94.38%, R Square predicted 83.89%, R Square adjusted 90.97%, # denotes significant values, and ^ denotes non-significant values.

Factors	Coefficients	T value	P value
Constant	481.88	273.986	0.000#
L Glutamine	9.63	10.344	0.000#
Lactose	6.61	7.1	0.000#
Glucose	6.236	6.699	0.000#
Peptone	12.445	13.368	0.000#
Fructose	-6.344	-6.814	0.000#
L Glutamine*L glutamine	-3.59	-4.531	0.000#
Lactose* Lactose	1.66	2.095	0.044#
Glucose* Glucose	3.595	4.537	0.000#
Peptone* Peptone	2.339	2.952	0.006#
Fructose* Fructose	-2.03	-2.561	0.015#
L Glutamine* Lactose	1.437	1.328	0.193^
L Glutamine* Glucose	2.616	2.418	0.021#
L Glutamine* Peptone	-2.085	-1.928	0.063^
L Glutamine* Fructose	-2.214	-2.047	0.049#
Lactose*Glucose	3.498	3.234	0.003#
Lactose* Peptone	2.186	2.021	0.051^
Lactose* Fructose	-4.098	-3.789	0.001#
Glucose* Peptone	2.896	2.678	0.011#
Glucose* Fructose	-1.686	-1.558	0.129^
Peptone* Fructose	-3.171	-2.932	0.006#

Table 5 shows the regression analysis of the nutrient factors with their corresponding P-value. R Square 94.38%, R Square predicted 83.89%, R Square adjusted 90.97%,

^# denotes significant values, and

^ denotes non-significant values.

‘*’ indicates the interactive effect between different factors or the squared effects in the case of same factors.