highly significantP < 0.001
These results demonstrate that this multiple regression model is adequate and can explain most of the variability for variables because a larger t -value and smaller P value show the significance of the corresponding coefficient.[ 16 ] In ANOVA, the parameter for two-factor interaction was highly significant for all variables ( P < 0.001), while linear and quadratic parameters were not significant ( P > 0.05).