To construct the scatterplot based on the data provided in the table, we need to plot the points corresponding to the age and time of runners. The data points are:
- (24, 32.75)
- (29, 33.63)
- (34, 34.84)
- (39, 35.33)
- (44, 35.23)
- (49, 36.16)
We want to identify the scatterplot option that best matches these data points.
Let's analyze the given choices:
- First Option: Contains points like (22, 32.5), (32, 33.5) etc.
- Second Option: Contains points like (33, 24), (34, 29) etc.
- Third Option: Contains points like (33, 23), (32, 33.5) etc.
- Fourth Option: Contains points like (24, 33), (29, 33.5), (34, 35) etc.
The fourth option seems to have points closest to the actual data. The coordinates in the fourth option can be rewritten and assessed against the original data:
- (24, 33) is close to (24, 32.75)
- (29, 33.5) is close to (29, 33.63)
- (34, 35) is close to (34, 34.84)
- (39, 35.5) is close to (39, 35.33)
- (44, 35.5) is close to (44, 35.23)
- (49, 36) is fairly close to (49, 36.16)
Given this analysis, the fourth option is logically the correct scatterplot to represent the data based on the provided table.
So the answer is: The fourth option.