Skip to main content
. 2022 Jul 12;67(5):1890–1898. doi: 10.1111/1556-4029.15094

TABLE 4.

Regression models for the observed teeth and ratio parameters

Tooth Predictors Model Performance
R 2 RMSE MAE
C UTVR‐C, LTVR‐C, & Sex 77.393−348.379 UTVR‐C−565.709 LTVR‐C + 2140.073 (LTVR‐C)2−3.961 s 0.66 6.88 5.45
UTVR‐C 56.77−583.095 UTVR‐C 0.38 9.3 7.5
LTVR‐C 68.923−628.93 LTVR‐C + 2217.17 (LTVR‐C)2 0.62 7.5 5.83
Li UTVR‐Li & LTVR‐Li 63.09−301.38 UTVR‐Li−204.65 LTVR‐Li 0.67 6.67 5.3
UTVR‐Li 57.31−475.26 UTVR‐Li 0.44 8.6 7
LTVR‐Li 55.95−271.38 LTVR‐Li 0.56 7.76 6.27
Ci UTVR‐Ci & LTVR‐Ci 64.21−368.32 UTVR‐Ci−214.41 LTVR‐Ci 0.59 7.6 6.19
UTVR‐Ci 59.48−568.93 UTVR‐Ci 0.5 8.5 6.9
LTVR‐Ci 58.4−337.25 LTVR‐Ci 0.46 8.5 7.19

Abbreviations: C, maxillary canine; Li, maxillary lateral incisor; Ci, maxillary central incisor; UTVR, upper tooth volume ratio; LTVR, lower tooth volume ratio; s, sex (M = 1; F = 0); R 2, coefficient of determination; RMSE, root mean squared error; MAE, mean average error.