Abstract
The concept of anterior teeth coloring system from which modern clinicians suffer isintimately bound up with their figural space, such as from, structure, arrangement and inclination. These sensory message furthermore has an interdependent relation to the other messages fromcoloring space, such as hue, chroma and value. Dental Color Analyzer (DCA) offers the posibilityof far greater impact for the clinician to solve this problems. Raw data of DCA, however, stillcontained some kinds of biased scale. Maltiple-Regression shows an optimal prediction to theseinterdependent variables, and so many significant conclusions. The auther obtained the followingresults; 1) Anterior teeth color is able to analyze into Multivariate Regression because of theirinterdependent structure. 2) Men's x-values were greater than women's in sample means. i. e. Men's color is somewhat reddish. 3) In case of one tooth defect, x-value have greater informationthan y-value. 4) The optimal prediction is obtained by the rest teeth as many as possible.
