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.