D.
The slope of a line means the increase in y for each unitary increase in x:
![b=(\Delta y)/(\Delta x)](https://img.qammunity.org/2023/formulas/mathematics/college/pnz45ex83e9fpk58v6zrb32tamjo9xt1lh.png)
If the slope is equal to -0.1625, that means if x increases 1 unit, y will decrease by 0.1625 units.
E.
Using x = 3 in the regression equation, we have:
![\begin{gathered} y=a+bx \\ y=3.71-0.16x \\ y=3.71-0.16\cdot3 \\ y=3.71-0.48 \\ y=3.23 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/scddpgr8v9e60xi1w6kkesez63az2gk5kf.png)
So the estimated GPA is 3.23.
F.
If r is the value of the standard deviation, therefore r² is the variance:
![\begin{gathered} r=-0.65 \\ r^2=0.4225 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/q6x2ghfu5hvz6ejsot7npsjbpsf98gpp6h.png)
The variance is the average of the squared difference from each point to the mean, and it measures the average of how much each point differs from the mean.