Which factor would most affect the accuracy of stature estimation when applying published regression equations to a different population?

• A. The weather at time of death
• B. The age of the skeleton
• C. Population ancestry differences
• D. The bone color.

Answer: (C)

When estimating stature from skeletal measurements with regression equations, the relationship between bone length and overall height is derived from a specific population. Populations differ in body proportions due to genetics, nutrition, and environmental factors, so the slope and intercept that link a bone length to height are not identical across groups. Using equations developed for one population on a different one introduces systematic bias and lowers accuracy because the proportional relationships don’t match. The other options don’t drive this cross-population error: weather at death doesn’t change bone lengths; bone color is unrelated to stature; age matters only if the skeleton isn’t adult, in which case different methods are needed, but the main issue here is ancestry differences.