Final answer:
Without the actual scatterplot, we cannot definitively determine the type of relationship, but based on the provided information suggesting a direct relationship, the pattern might be linear.
Step-by-step explanation:
The type of relationship shown by the data in the scatterplot described would depend on the pattern of the points. However, since the scatterplot is not actually provided, we can only rely on the provided descriptions to infer the type of relationship. A linear relationship in a scatterplot can be identified by a straight line pattern, where the points approximate a single line, indicating a constant rate of change between the variables. This means that as one variable increases, the other variable tends to also increase (or decrease) at a steady rate. An exponential relationship, on the other hand, is marked by a curve that increases or decreases at an increasing rate. If no discernible pattern exists, it would suggest there is no relationship between the variables. Lastly, a quadratic relationship would show a scatterplot where the points form a parabolic shape, curving either upwards or downwards as one variable is squared.
If we refer to the descriptions and examples provided, which indicate that a linear plot shows a direct relationship, and since the additional information in the question indicates such a pattern, we would lean towards option (a) Linear, in this case. To accurately determine the answer, we would need to see the actual scatterplot to observe the arrangement of the points.