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The image shows a scatter plot with the title "Plant Growth vs. Amount of Fertilizer," where plant growth (in cm) is plotted on the y-axis, and the units of fertilizer are plotted on the x-axis. 

To find the outlier from the scatter plot, we examine the points:

- Most of the data points seem to follow a general pattern where more fertilizer is correlated with increased plant growth.
- However, the point at around \( x = 7 \) units of fertilizer and \( y = 2 \) cm growth is visibly far from the others, which makes it an outlier.

This point doesn't follow the general trend of the data, as it's lower in plant growth compared to others that used similar amounts of fertilizer.

Would you like more details on how outliers affect the analysis, or would you prefer further assistance with scatter plots?

Here are five questions for further exploration:
1. How does an outlier impact the interpretation of a data set?
2. Could this outlier suggest experimental error, or does it imply variability in plant responses to fertilizer?
3. What are some common methods to deal with outliers in statistical analysis?
4. How would this graph look if the outlier were removed?
5. How could this experiment be refined to reduce the possibility of outliers?

**Tip:** Always analyze whether outliers are a result of data collection error or natural variability before removing them.

Find the data point that shows an outlier from the above scatter plot.

Learn how to identify an outlier in a scatter plot with the example of plant growth vs. the amount of fertilizer. This problem involves understanding scatter plots and detecting outliers. Suitable for students in Grades 6-8.

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