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The scatter plot shown in Exercise 3 displays a distribution of points across different quadrants without a clear upward or downward trend. The points appear scattered randomly across the graph, indicating no consistent pattern in their arrangement along the x or y-axis. Therefore, the correct answer would be **no correlation** between x and y.

Would you like further details on types of correlation?

Here are some follow-up questions to explore:
1. What is the difference between positive and negative correlation?
2. How can you determine correlation strength from a scatter plot?
3. In what scenarios might two variables have no correlation?
4. How does correlation differ from causation?
5. What statistical methods can you use to measure correlation?

**Tip:** In scatter plots, look for patterns—if points generally trend upwards (positive) or downwards (negative) along the x-axis, there’s likely a correlation. Random scatter often means no correlation.

In Exercises 1–4, tell whether x and y show a positive, a negative, or no correlation. Exercise 3: Scatter plot showing distribution of points without a clear upward or downward trend.

Identify the type of correlation between x and y variables based on scatter plots. Learn how to distinguish between positive, negative, and no correlation with visual analysis. Suitable for middle school students studying basic statistics.

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