To construct the scatterplot based on the data provided in the table, we need to plot the average 5K marathon times against the runners' ages. The dataset is as follows:
- Age 24: Time 32.75 minutes
- Age 29: Time 33.63 minutes
- Age 34: Time 34.84 minutes
- Age 39: Time 35.33 minutes
- Age 44: Time 35.23 minutes
- Age 49: Time 36.16 minutes
Based on this dataset, the points we will plot are:
- (24, 32.75)
- (29, 33.63)
- (34, 34.84)
- (39, 35.33)
- (44, 35.23)
- (49, 36.16)
Now, let's evaluate the options based on the accuracy of the scatterplot's x-axis (Age) and y-axis (Time) labels and the coordinates of the plotted points.
Analysis of Options:
A. The x-axis is labeled time in minutes (0 to 50) and the y-axis is labeled age (0 to 45).
- Incorrect points listed.
B. The x-axis is the age in years (0 to 40), and the y-axis is time in minutes (0 to 40).
- The points listed do not accurately reflect the average times.
C. The x-axis is age in years (0 to 40) and the y-axis is time in minutes (0 to 50).
- The points listed do not match the values given.
D. The x-axis is age in years (0 to 40) and the y-axis is time in minutes (0 to 40).
- The points listed do not correspond to the data provided.
Conclusion
All provided options have inaccuracies in the coordinates or labeling of the axes for the scatterplot. Based on the data from the average times by age, none of the options A, B, C, or D accurately represent the scatterplot based on the original dataset.