Final answer:
A residual is the difference between the observed and predicted values in a statistical model. Without the specifics of the model relating 40-yard-dash times to long-jump distances, we cannot calculate the exact residual for a student with a 40-yard-dash time of 7.17 seconds and a long-jump distance of 65 inches.
Step-by-step explanation:
The term residual refers to the difference between an observed value and the predicted value of a variable in a statistical model.
In the context of your question, assuming there is a linear model relating 40-yard-dash time to long-jump distance, the residual for a student with a 40-yard-dash time of 7.17 seconds and a long-jump distance of 65 inches would be the actual jump distance minus the predicted jump distance as estimated by the model.
However, without the specifics of the linear model (e.g., the slope and intercept, or the expected relationship between the dash time and jump distance), it isn't possible to calculate an exact residual value.
You would need more data from the study that provided the model parameters to calculate the residual.