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The graph compares the ages of a population with the number of pets they own. Here’s a general description of the association:

- **Shape of the data**: The graph suggests a **cluster** of points with a slight positive trend in the middle age range (from around 20 to 40 years old). The number of pets tends to be higher for individuals between the ages of 20 and 40.
  
- **Range**: Most people have between **0 to 4 pets** in general, with some outliers owning more than 8 pets.
  
- **No clear strong correlation**: There doesn’t seem to be a strong linear correlation. While younger individuals (ages 10–20) seem to have fewer pets, individuals between 20 and 40 are more likely to have multiple pets. For those above 40, the number of pets seems to slightly decrease again, though it's not a definitive trend.

This data could suggest that middle-aged individuals tend to have more pets compared to younger and older age groups.

Would you like more details on how to interpret the graph or the statistical implications?

### Follow-up questions:
1. What is the potential cause of middle-aged individuals having more pets?
2. How could outliers affect the analysis of this graph?
3. Can we compute the correlation coefficient based on the provided scatter plot?
4. Is there a way to create a regression model from this graph?
5. How could we measure the spread or variability in the number of pets for different age groups?

**Tip**: When analyzing scatter plots, always look for trends, clusters, outliers, and general shapes of the data to make inferences about the relationships between variables.

The graph at right compares the age and the number of pets for a certain population. Describe the association for this population.

Explore how to interpret a scatter plot comparing age with the number of pets in a population. This problem discusses patterns, possible correlations, clusters, and outliers, ideal for students in Grades 9-12.

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