A group of students was evaluating the average times of groups of runners for a 5K marathon. Construct the scatterplot based on the data in the table.

Apologies, but in order to construct a scatterplot based on the data in the table, I would need the actual data in the table, including the average times for the groups of runners. Could you please provide the table or the data itself?

To construct a scatter plot using the data in the table, follow these steps:

Step 1: Gather the necessary data from the table.
- Identify the two variables you want to compare. In this case, it would be the "Group of runners" and the "Average time".
- Note down the values for each group of runners and their corresponding average times.

Step 2: Set up the axis for the scatter plot.
- Decide which variable will be plotted on each axis. In this case, the "Group of runners" will be on the x-axis, and the "Average time" will be on the y-axis.
- Determine the range of values for each axis based on the data. Set appropriate scales for both axes.

Step 3: Plot the data points on the scatter plot.
- For each group of runners, locate the corresponding average time on the y-axis and the group number on the x-axis.
- Plot a point at the intersection of these coordinates for each group of runners.

Step 4: Add labels and titles to the scatter plot.
- Label the x-axis with "Group of runners" and the y-axis with "Average time."
- Add a title to the scatter plot to provide a general description or context for the data.

Note: Without the specific data from the table, it is not possible for me to generate the scatter plot for you. However, following the steps mentioned above should help you construct the scatter plot based on the data you have.

To construct a scatterplot based on the data in the table, follow these steps:

Step 1: Understand the Data
- Look at the table and understand the variables being presented. In this case, we have two variables: the groups of runners and their average times for a 5K marathon.

Step 2: Determine the Axes
- Decide which variable will be plotted on each axis. Typically, the independent variable (the one expected to influence the other) is plotted on the x-axis, while the dependent variable (the one being influenced) is plotted on the y-axis.
- In this case, since we want to analyze how the groups of runners affect the average times, we'll plot the groups of runners on the x-axis and the average times on the y-axis.

Step 3: Create the Plot
- Draw a set of axes, labeling the x-axis as "Groups of Runners" and the y-axis as "Average Times".
- Determine the range for each axis based on the given data in the table. Ensure that all the data points fit within the plot area.
- Mark the data points on the plot using dots or circles. Each dot represents a single data point, where the x-coordinate is the group of runners and the y-coordinate is the average time.
- Connect the dots with a trend line (if suitable) to visualize any potential relationship between the variables.

Note: Unfortunately, as an AI text-based bot, I cannot directly access or visualize the data from a table. However, I can assist you with any specific calculations or further steps in analyzing the data, if needed.