To construct a scatterplot based on the given data from the table, we need to plot the ages against the corresponding times for each runner. The data points from the table are:
- (24, 32.75)
- (29, 33.63)
- (34, 34.84)
- (39, 35.33)
- (44, 35.23)
- (49, 36.16)
Let's analyze the given options for the scatterplot:
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The first option’s approximate data points do not match the age or time data provided in the table.
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The second option has data points from the original table but includes inaccuracies in placements of the points in terms of increments on the axes.
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The third option features entirely different data points that don't correspond to the original table data.
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The fourth option presents inaccurate points and also does not correspond to the original data.
The appropriate scatter plot should accurately place the following points based on the table data you provided:
- (24, 32.75)
- (29, 33.63)
- (34, 34.84)
- (39, 35.33)
- (44, 35.23)
- (49, 36.16)
Given that none of the options seem to represent the accurate placements, we would typically seek a scatterplot that scales accordingly and includes these data points directly.
If you have to select from those options, consider the second one as it is closest to the right representation, but you may need to clarify the specific increments since they don’t perfectly represent the actual numbers given in the table.
For a perfect solution, if you can plot by hand or software, please use the original ages and times for accuracy.