When an attribute is important, it implies that the intensities of
at least one of the corresponding dummy variables deviate from
zero and are not Just About Right. When an attribute is not important, it implies that either the corresponding pairs of dummy variables are zero or Just About Right, or that the attribute does not
affect the overall liking.