Corey wants to predict how much time a run will take based on the distance of the run. He collected some data on the time (in minutes) and distance (in kilometers) of some of his previous runs. His data is summarized in the table below. Distance (km) 111 222 333 444 555 666
Time (minutes) 5.15.15, point, 1 11.811.811, point, 8 17.717.717, point, 7 25.225.225, point, 2 33.033.033, point, 0 41.941.941, point, 9
All of the scatter plots below display the data correctly, but which one of them displays the data best?
By convention, a good scatter plot uses a reasonable scale on both axes and puts the explanatory variable on the xxx-axis.
Choose 1
Choose 1

(Choice A, Checked)
A
Graph A

(Choice B)
B
Graph B

(Choice C)
C
Graph C

(Choice D)
D
Graph D
Graph A provides Time, in minutes, from 0 to 150, in increments of 50, on the y-axis, versus Distance, in kilometers, from 0 to 20, in increments of 5 on the x-axis. 6 points rise diagonally between (1, 5) and (6, 42). All values estimated.
~~~ space, space, space
Graph B provides Distance, in kilometers, from 0 to 20, in increments of 5, on the y-axis, versus Time, in minutes, from 0 to 150, in increments of 50, on the x-axis. 6 points rise diagonally between (5, 1) and (42, 6). All values estimated.
Graph C provides Time, in minutes, from 0 to 50, in increments of 5, on the y-axis, versus Distance, in kilometers, from 0 to 6, in increments of 1, on the x-axis. 6 points rise diagonally between (1, 5) and (6, 42). All values estimated.
~~ space, space
Graph D provides Distance, in kilometers, from 0 to 6, in increments of 1, on the y-axis, versus Time, in minutes, from 0 to 50, in increments of 5, on the x-axis. 6 points rise diagonally between (5, 1) and (42, 6). All values estimated.