The best-supported conclusion based on the information provided is:
(D) Generally, spending more than the cost of calculating BMI to measure a person's body fat will not increase the accuracy of predictions about that person's health.
Explanation:
The key point in the passage is that BMI, despite being a simple and inexpensive method, is moderately correlated with more accurate measures of body fat, and is strongly correlated with health outcomes related to body fat. This implies that using more complex and expensive methods to measure body fat does not significantly improve the ability to predict health outcomes beyond what BMI can already provide. Therefore, spending more money on more complex methods likely doesn't improve the accuracy of health predictions, making (D) the most supported conclusion.
Why the other options are less supported:
(A): While it is true that BMI is correlated with health outcomes, the passage does not explicitly argue that there is "no practical reason" for using more complex methods. It just says that BMI is a reasonable alternative.
(B): The passage does not claim that more expensive methods are necessarily more exact, only that BMI is correlated with more exact measures, but doesn't make a direct comparison of precision between the methods.
(C): The passage does not discuss the relationship between BMI and height in a way that suggests BMI is higher for shorter people. BMI is calculated based on both weight and height, but this option introduces an unsupported claim.
(E): The passage doesn’t suggest that having more body fat makes complex and expensive methods more necessary. It only states that BMI correlates well with body fat and health outcomes, regardless of the amount of body fat.
Thus, (D) is the most strongly supported conclusion.