https://file.aiquickdraw.com/mathbot/file/1726099615096yz9finqd.jpg

Looking at the table and the corresponding graph, here are some improvements that could be made to enhance the clarity and accuracy of the graph:

### Improvements:
1. **Fix the incorrect year (2914)**: The year "2914" in the table is clearly a typo and should be corrected to "2014." This will prevent any inconsistencies when interpreting the graph.
   
2. **Adjust the X-axis scaling**: The X-axis extends well beyond the relevant range (up to 2040), even though the data stops at 2020. To improve the graph's focus, limit the X-axis to cover only the range from 2011 to 2020 (or 2010 to 2021 for extra padding). This will help to avoid confusion and make the data clearer.

3. **Y-axis range**: The Y-axis currently starts at 0, which is unnecessary since the weight values start from 122 lbs. Reducing the Y-axis to begin at around 120 lbs or lower (closer to the lowest value) would improve the readability of the graph by focusing on the data points.

4. **Consider changing the trendline**: The current graph includes a linear trendline, but the data does not follow a clear linear pattern. It might be better to either remove the trendline or use a polynomial trendline to better fit the data points, reflecting the actual fluctuations in weight over time.

5. **Use of markers and lines**: The graph would be more informative if you connected the data points with lines (as it represents time series data). This would help to visualize changes over time more clearly.

Would you like a more detailed explanation or assistance in applying these changes?

### Related Questions:
1. How would limiting the X-axis affect the readability of the graph?
2. Why is it important to start the Y-axis closer to the minimum data point?
3. What are the benefits of using a polynomial trendline instead of a linear one in this case?
4. How would connecting data points with lines improve the visualization of a time series?
5. Why should outliers or errors (such as the incorrect year "2914") be corrected before graphing data?

### Tip:
Always ensure that your data is accurately represented on the graph, and avoid extraneous axis ranges to keep the graph clean and easy to interpret.

A graph was constructed based on the following data table. How would you improve the graph?

Learn how to improve a graph representing weight data from 2011 to 2020. Includes suggestions like fixing data errors, adjusting axis scaling, and selecting the correct trendline for clearer data visualization. Suitable for students in Grades 7-10.

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