(Solved): Regression line equation: \( y=14.1726+0.5334 x \) Part 2 of 4 Is it possible to interpret the \( y ...

Regression line equation: \( y=14.1726+0.5334 x \) Part 2 of 4 Is it possible to interpret the \( y \)-intercept? Explain. the \( x \)-values are all Part 3 of 4 If the systolic gressures of two potients differ by 10 millimeters, by how much would you predict their diastolic pressures to differ? Round the answer to three decimal places. Their diastolic pressures would differ by millimeters: Part: \( 3 / 4 \) Part 4 of 4 . Predict the diastolic pressure for a patient whose systolic pressure is 149 millimeters, Round the answer to one decimal place. The diastolic pressure is predicted to be millimeters. Blood pressure: A blood pressure measurement consists of two numbers: the systolic pressure, which is the maximum pressure taken when the heart is contracting, and the diastolic pressure, which is the minimum pressure taken at the beginning of the heartbeat. Blood pressures were measured, in millimeters of mercury (mmHg), for a sample of 10 aduits. The following table presents the results. Use a Th-84 calculator to answer the following. Based on results published in the Journal of Muman Hypertension Part 1 of 4 Compute the least-squares regression line for predicting the diastolic pressure from the systolic pressure. Round the slope and y-intercept to at least four decimal places. Regression line equation: \( \hat{y} \).