Answer:
C.
Step-by-step explanation:
The third choice, C, is the one that shows a line that best fit the scatterplot.
Remember that a scatterplot is a graph that represent a bunch a data collected in a research, as real data, this tend to be disperse. However, in statistics, we use a linear regression to find the line that best fits for the scatterplot, this line is going to give a more accurate relation between variables for the research.
The purpose of using a linear regression in a scatterplot, is to try to predict future outcomes, because, if the variables have a linear proportion, there's some possibility that the patterns repeats according to this approximate function.
Therefore, option C is the graph that has a line that best fits the scatterplot.