https://file.aiquickdraw.com/mathbot/file/17272078825702zd6x3a2.jpg

The question asks who would appear in the upper-left corner of a scatter plot of **Age vs. Height**. In a scatter plot:

- The x-axis usually represents **Age**.
- The y-axis represents **Height**.
- The upper-left corner represents someone with a **low age (x-value)** and a **high height (y-value)**.

From the table provided, let’s evaluate the people based on their **age** (lower is better for x-axis) and **height** (higher is better for y-axis):

1. **John**: Age 25, Height 175 cm
2. **Emma**: Age 30, Height 160 cm
3. **Alex**: Age 22, Height 180 cm
4. **Sarah**: Age 33, Height 165 cm
5. **David**: Age 28, Height 170 cm
6. **Lily**: Age 32, Height 158 cm
7. **Mike**: Age 27, Height 178 cm

Looking for someone with the **smallest age** and the **largest height**:

- **Alex** is the youngest (Age 22) and also has the highest height (180 cm).

Thus, the person appearing in the upper-left corner is **Alex**.

**Answer: a. Alex**

Would you like more details or have any other questions? Here are some additional related questions to deepen your understanding:

1. How do you interpret points in different quadrants of a scatter plot?
2. What could the slope of the trend line on a scatter plot of Age vs. Height tell you?
3. How would a scatter plot of Age vs. Weight differ from Age vs. Height?
4. Why might someone use a scatter plot instead of other chart types for this data?
5. What methods can be used to find correlations between Age and Height from the data?

**Tip**: The upper-left and lower-right corners in scatter plots are often key for identifying trends like negative correlations.

If you were to create a scatter plot of Age vs. Height, who would appear in the upper-left corner of the plot?

Explore how to interpret a scatter plot of Age vs. Height. In this example, Alex, with the lowest age and highest height, appears in the upper-left corner. Understand scatter plot analysis for students in Grades 6-8.

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