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. 2018 Oct 23;28(2):423–432. doi: 10.1007/s10068-018-0493-z

Table 1.

The result of analysis of variance (ANOVA) for the regression model of EE% and RR%

Source Sum of squares df mean square F value p value
Prob > F
EE (%)
Model 194.82 7 27.83 5.28 0.0018 Significant
Linear mixture 6.17 2 3.09 0.59 0.5665
AC 97.89 1 97.89 18.57 0.0004
AD 1.72 1 1.72 0.33 0.5747
BD 27.67 1 27.67 5.25 0.0336
CD 1.51 1 1.51 0.29 0.5984
ACD 110.15 1 110.15 20.9 0.0002
Residual 100.14 19 5.27
Lack of fit 68.96 14 4.93 0.79 0.6681 Not significant
Pure error 31.18 5 6.24
Cor total 294.96 26
RR (%)
Model 1052.113 10 105.2113 6.366358 0.0010 Significant
Linear mixture 91.10301 2 45.5515 2.756331 0.0979
AB 210.0737 1 210.0737 12.7116 0.0031
AC 58.6082 1 58.6082 3.546394 0.0806
AD 13.99071 1 13.99071 0.846581 0.3731
BC 1.300631 1 1.300631 0.078701 0.7832
BD 65.06671 1 65.06671 3.9372 0.0672
CD 4.779008 1 4.779008 0.289179 0.5992
ACD 326.444 1 326.444 19.75319 0.0006
BCD 121.8098 1 121.8098 7.370733 0.0168
Residual 231.3659 14 16.52614
Lack of fit 184.2922 9 20.47691 2.174984 0.2030 Not significant
Pure error 47.0737 5 9.41474
Cor total 1283.479 24