To construct a scatter plot based on the provided data of average 5K marathon times for runners of various ages, we need to identify the correct format for the x-axis (age) and y-axis (time) on the coordinate plane.
The data given is:
| Age | Time | |-----|-------| | 24 | 32.75 | | 29 | 33.63 | | 34 | 34.84 | | 39 | 35.33 | | 44 | 35.23 | | 49 | 36.16 |
For a scatter plot, we can use age (on the x-axis) and time (on the y-axis).
Here are the features to look for in the options:
- The x-axis should represent Age in years.
- The y-axis should represent Time in minutes.
- The approximate data points should reflect the values from the table above.
Now let’s evaluate each option based on these criteria:
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First Option: Age from 0 to 40 on x-axis and Time from 0 to 40 on y-axis.
- The data points indicated do not match the values in the table.
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Second Option: Time from 0 to 50 on x-axis and Age from 0 to 45 on y-axis.
- The data points indicated do not match the values in the table.
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Third Option: Age from 0 to 40 on x-axis in increments of 5 and Time from 0 to 40 on y-axis.
- The data points are close, but still do not match the values in the table accurately.
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Fourth Option: Age from 0 to 40 on x-axis in increments of 2, Time from 0 to 50 on y-axis in increments of 5.
- The data points given do not reflect correct values given in the table.
After evaluating all of the options, the third option is the one that best depicts a scatter plot corresponding to the data. However, be sure to double-check any specific point placements or increments in the plot representation.
The correct answer would likely be the third option as it accurately matches the age on the x-axis although the time data points require adjustment to match the precise values from the table.