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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.

Determine the type of correlation represented in the scatter plot below.

Learn how to identify positive correlation in scatter plots with this example. The graph demonstrates a clear upward trend, indicating a positive relationship between variables. Ideal for students in Grades 8-10 studying statistics and data analysis.

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