A doctor says he can predict the height (in inches) of a child between 2 and 9 years old from the child's age (in years) by using the following equation. Predicted Height = 31.78 + 2.45Age This tells us that the deterministic part of the regression model. What factors might contribute to the random component? In other words, why might a child's height not fall exactly on this line