To find out how much the diastolic pressures of two patients would differ based on the difference in their systolic pressures, we can use the slope of the regression line.
The regression line equation is given as:
\[ \text{Diastolic pressure} = 13.4677 + 0.5317 \times (\text{Systolic pressure}) \]
The slope of 0.5317 indicates the change in diastolic pressure for each 1 millimeter change in systolic pressure.
If the systolic pressures of two patients differ by 9 millimeters, we can calculate the predicted difference in diastolic pressures as follows:
\[ \text{Predicted difference in diastolic pressure} = \text{slope} \times \text{difference in systolic pressure} \]
Substituting the values:
\[ \text{Predicted difference in diastolic pressure} = 0.5317 \times 9 \]
Now, performing the calculation:
\[ \text{Predicted difference in diastolic pressure} = 0.5317 \times 9 = 4.7853 \]
Rounding to three decimal places gives:
\[ \text{Predicted difference in diastolic pressure} \approx 4.785 \]
Thus, if the systolic pressures of two patients differ by 9 millimeters, we would predict their diastolic pressures to differ by approximately 4.785 millimeters.