In the image you've provided, two scatter plots are shown, and the task is to select the type of correlation represented by each graph.

1. Top Graph:

   • The points form an upward trend, indicating that as the value of $X$ increases, the value of $Y$ also increases. This suggests a positive correlation.
   • Since the points are not perfectly aligned but are closely packed, it indicates a strong positive correlation (not perfect).
   • Your selection of Strong Positive Correlation is correct.

2. Bottom Graph:

   • The points form a downward trend, indicating that as $X$ increases, $Y$ decreases. This suggests a negative correlation.
   • Similar to the first graph, the points are closely packed but not perfectly aligned, so it indicates a strong negative correlation (not perfect).
   • Your selection of Strong Negative Correlation is also correct.

Both answers you've selected are accurate!

Would you like more details or have any other questions?

Here are some related questions you could explore:

1. What is the difference between strong and perfect correlation?
2. How do you interpret correlation in real-world data analysis?
3. What statistical measure is used to quantify the strength of a correlation?
4. Can a strong correlation imply causation between two variables?
5. What are some examples of no correlation graphs?

Tip: In statistics, correlation does not imply causation, so be cautious when interpreting real-world data based on correlation.