To construct a scatterplot based on the given data, we need to plot the age of the runners on the x-axis and their average 5K marathon times on the y-axis. The provided data is as follows:
- At age 24, the average time is 32.75 minutes.
- At age 29, the average time is 33.63 minutes.
- At age 34, the average time is 34.84 minutes.
- At age 39, the average time is 35.33 minutes.
- At age 44, the average time is 35.23 minutes.
- At age 49, the average time is 36.16 minutes.
When creating a scatterplot, the points based on the provided data would be roughly:
- (24, 32.75)
- (29, 33.63)
- (34, 34.84)
- (39, 35.33)
- (44, 35.23)
- (49, 36.16)
Looking at the response options, we notice that the axes must accurately reflect the values of age and time.
Option A:
- x-axis from 0 to 40 in increments of 5, y-axis from 0 to 40 in increments of 1.
- Data points are approximately (24, 33), (29, 33.5), (34, 35), (39, 35.5), (44, 35.5), and (49, 36).
Option B:
- x-axis from 0 to 40 in increments of 1, y-axis from 0 to 40 in increments of 1.
- Data points are inaccurately reflected.
Option C:
- x-axis from 0 to 50 in increments of 2 and age on y-axis not matching with data.
Option D:
- x-axis from 0 to 40 in increments of 2, y-axis from 0 to 50 – does not fit the data's structure and points.
Based on the described axes and points, Option A is the most accurate choice for the scatterplot of the average times of runners by age. The points correspond closely with the values given in the data table.