Sources of   Variation d.f Sum of Squares Mean Squares F Sig Y pH           Regression 9 0.295 0.033     Residual 7 0.023 0.003 11.000 0.003 Lack of fit 3 0.015 0.005     Pure error 4 0.008 0.002 2.500   Total 16 0.318       YBrix           Regression 9 3.566 0.396     Residual 7 0.689 0.099 4.000 0.040 Lack of fit 3 0.677 0.226     Pure error 4 0.012 0.003 75.33   Total 16 4.255       Yviscosity           Regression 9 26578.070 2953.119     Residual 7 77.184 11.026 267.830 0.000 Lack of fit 3 75.376 25.125     Pure error 4 1.808 0.452     Total 16 26655.254       YOverall acceptability           Regression 9 2.081 0.231     Residual 7 0.052 0.007 33.000 0.000 Lack of fit 3 0.009 0.003     Pure error 4 0.042 0.011 0.272   Total 16 2.133       *P < 0.05 (9,7) = 3.73; **P < 0.01 (9,7) = 6.84 *P < 0.05 (3,4) = 6.59; ** P < 0.01 (3,4) = 16.69.

Table 5: Analysis of variance for the responses.