Answer
Slope interpretation: if the number of absences increases by 1, it is expected that the final grade will decrease by 2.827 (or increase by -2.827).
y-intercept interpretation: when a student has no absence, it is expected that his/her final grade will be 88.73.
Work Step by Step
For the slope, we could have also said that when the number of absences increases by 1, the final grade decrease by 2.827, on average.
For the y-intercept, make $x=0$ in the least-squares regression line.
