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. 2021 Oct 15;13:429–440. doi: 10.2147/CCIDE.S313587

Table 1.

Univariate and Multivariate Linear Regression Analysis to Predict Age of an Individual Based on Attrition Score with/without Habit and Number of Cusps Involved Stratified by Sex and Arch Involved

Group (N) R R2 (Coefficient of Determination) Std. Error of the Estimate Equation P-value (<0.05 is Significant: Marked in Red)
Univariate analysis
Female (70) 0.535 0.286 8.901 Age=25.711+2.015(Attrition score) <0.001
Male (66) 0.711 0.505 9.396 Age=23.187+3.149(Attrition score) <0.001
Maxillary (27) 0.814 0.662 8.522 Age=24.564+3.724(Attrition score) <0.001
Mandibular (109) 0.578 0.334 9.036 Age=24.4+2.259(Attrition score) <0.001
Total (136) 0.631 0.398 9.231 Age=24.297+2.599(Attrition score) <0.001
Multivariate analysis including the presence of chewing habit, number of cusps involved
Female (70) 0.560 0.313 8.864 Age=22.852+0.627(habit)+2.603(Cusps involved)+0.884(Attrition score) 0.279
Male (66) 0.714 0.51 9.5 Age=24.004–2.168(habit)+-0.542(Cusps involved)+3.451(Attrition score) <0.001
Maxillary (27) 0.819 0.67 8.776 Age=24.755+3.253(habit)+-0.551(Cusps involved)+3.875(Attrition score) 0.002
Mandibular (109) 0.585 0.342 9.071 Age=23.519–1.482(habit)+0.893(Cusps involved)+1.939(Attrition score) 0.002
Total (136) 0.633 0.4 9.282 Age=23.681–0.751(habit)+0.625(Cusps involved)+2.361(Attrition score) <0.001