Age, gender, and height were analyzed using a mixed effects model Canal Area ∼ age + gender + height + gender *height + (1 | subject). This table represents the Intercept fit - equivalent to traditional regressiona
Fixed Effects | Estimate | Standard Error | T Value | Pr (>|t|) |
---|---|---|---|---|
(Intercept) | −278.18495 | 43.20594 | −6.439 | 0.00 |
Age | 0.05158 | 0.08429 | 0.612 | 0.54 |
Sex | −0.63539 | 62.56533 | −0.01 | 0.10 |
Height | 8.00079 | 0.66184 | 12.089 | 0.00 |
Sex:height | −0.46311 | 0.93188 | −0.497 | 0.62 |
Note:—Pr (>|t|) indicates p-value.
↵a The model fit is summarized. Height is the only variable that is statistically significantly related to canal areas.