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. 2022 May 21;8(6):e09514. doi: 10.1016/j.heliyon.2022.e09514

Table 2.

Model coefficients and degree of fit for the different bread quality attributes.

Parameter Model Coefficients
Degree of fit
β1(W) β2(M) β3(BSG) β12(W×M) β13(W×BSG) β23(M×BSG) β123(W×M×BSG) R2 Adj R2 p-value
Color 8.19 4.05 -3.06 4.28 5.86 16.59 -10.36 0.949 0.910 <0.0001
flavour 8.01 -0.2967 -1.59 8.77 -0.0675 17.75 0.964 0.943 <0.0001
texture 8.07 4.34 -2.03 1.40 4.66 12.35 0.923 0.880 <0.0002
Taste 8.13 1.62 -2.25 6.85 3.44 14.79 +1.68 0.944 0.902 0,0001
OAC 8.08 0.7205 -4.88 9.09 10.34 26.28 -24.83 0.951 0.912 <0.0001
Weight 655.81 650.40 996.68 69.96 -498.72 -462.50 0.961 0.940 <0.0001
Volume 849.02 931.91 928.46 -488.97 -420.36 -85.80 0.550 0.300 0.154
Sp volume 1.29 1.46 0.8420 -0.8821 0.2101 0.5335 0.653 0.480 0.036
Density 0.7684 0.7684 0.7684 0.7684 0.7684 0.7684 0.652 0.478 0.036
Moisture 37.32 43.40 59.01 0.6667 -24.42 -27.75 0.999 0.994 0.054
Ash 0.705 2.10 10.27 2.71 -12.47 -14.83 0.999 0.999 0.022
Fat 0.390 0.598 5.91 2.38 -9.67 -7.00 0.999 0.999 0.039
protein 14.42 11.28 57.79 29.44 -63.32 -56.67 0.999 0.990 0.0039
Fiber 1.46 26.70 26.04 -19.00 -15.06 -75.08 0.999 0.990 0.007

The coefficients are significant at 0.05.