A graduate school rates entrance applications on a scale of 1 to 10, where 10 is excellent. Administrators are curious to know whether the application rating can be used to predict the number of years it will take an admitted student to graduate.
For the students graduating this year, the administrators note the ratings of their applications, x, as well as the number of years it took them to graduate, y.
The least squares regression line of this data set is:
y= –0.463x + 8.054
If a student's application was rated one point higher, the least squares regression line predicts it would take him or her ______ fewer years to graduate