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The scatter plot provided in the image shows the number of students at the first and last stops of various school bus routes. The question is asking which statement correctly describes the correlation observed in the scatter plot.

Looking at the scatter plot:

- The points seem to form a pattern that suggests as the number of students at the first stop increases, the number of students at the last stop also generally increases.
- This indicates a **positive linear correlation** between the two variables.

### Correct Answer:
**A. The data in the scatter plot shows a positive linear correlation.**

### Would you like to go over more details or have any questions?

Here are 5 relative questions that expand upon this information:
1. What is the difference between positive and negative correlation?
2. How can you calculate the correlation coefficient for a given set of data?
3. What are some examples of situations where you would expect to see no correlation?
4. How can outliers affect the correlation of a data set?
5. How does the strength of a correlation impact predictions made using the data?

**Tip:** When analyzing scatter plots, pay attention to the overall trend of the data points to determine if there's a correlation and what type it is (positive, negative, or none).

The scatter plot provided in the image shows the number of students at the first and last stops of various school bus routes. Which statement correctly describes the correlation observed in the scatter plot?

Analyze the scatter plot of students at the first and last stops of school bus routes to determine the type of correlation. This problem explains the concept of positive linear correlation using real-world data, suitable for students in Grades 7-9.

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