Final answer:
The simplest shape that can perfectly fit two datapoints is a line, as two points can define a straight line uniquely, indicating the linear relationship between them.
Step-by-step explanation:
If you have 2 datapoints, the most simple "shape" that can perfectly fit all of your data is a line. This is because two points define a line uniquely, and the trend line you draw should reflect the relationship between the data points. When plotting data on a graph, if there is a clear linear relationship with no significant outliers, then drawing a straight trend line through these points indicates that a line is the best fit for the data.
A curve is more complex and is not necessary unless the datapoints show a nonlinear relationship. A point does not represent a relationship between variables but is simply a position in space. Since we are specifically talking about fitting data depicting some form of relationship or trend, 'None of the above' would not be the correct choice.
When creating graphs such as line graphs, we're often looking to represent how one variable changes in response to another using the best-fit line. The trend line drawn should come close to all the plotted data points, thus reflecting the underlying relationship represented by the data.