The scatter plot you've provided shows a set of points that rise from left to right, indicating a positive relationship between the variables on the x and y axes. This pattern suggests a positive correlation.

In a positive correlation, as the value of one variable (e.g., $x$) increases, the value of the other variable (e.g., $y$) also increases. The points in the scatter plot are clustered in a pattern that moves upwards, demonstrating this relationship.

So, the correct answer is that the graph shows a positive correlation.

Would you like further details or have any questions?

Here are five related questions to think about:

1. What does a negative correlation look like in a scatter plot?
2. How would you describe a scatter plot with no correlation?
3. Can correlation imply causation between two variables?
4. How would adding a trend line to this scatter plot help interpret the data?
5. How does the strength of the correlation affect the closeness of the points to a line?

Tip: In a scatter plot, the closer the points are to forming a straight line, the stronger the correlation.