Answer:
Nonlinear, strong
Explanation:
A scatterplot represents the graph of a bunch of real data, and it's used to analyse if the variables involved are related, if they are proportional or not, if their correlation is linear or nonlinear, strong or weak.
So, if the correlation is linear, then all points are approximately on a straight line. Otherwise, they are not linear.
When we say that variables have a strong correlation, that means they form a visible graph that belongs to a function.
For example, in this case, the scatterplot is showing a data that hardly approximates to a parabola, that means it represents a strong relation, you can clearly see there a parabola.
On the other hand, the parabola shape means that they variables has a correlation that is non-linear, because it doesn't form a straight line.
Therefore, the right answer is nonlinear, strong.