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Here are five related questions to explore:
1. What are the steps to manually calculate the Pearson correlation coefficient?
2. How do you interpret the value of a correlation coefficient?
3. Can correlation imply causation between two variables?
4. How does a negative correlation differ from a positive one?
5. What are some factors that can affect the strength of a correlation?

**Tip:** Always plot your data points to visualize the relationship between variables before calculating correlation.

You are given the following set of observations for the independent variable x and the dependent variable y. The correlation coefficient, r, is ______.

Learn how to calculate the correlation coefficient between two variables based on the provided dataset of x = [-3, -1, 1, 3] and y = [8, 4, 5, -1]. This problem covers statistical concepts, including Pearson's correlation coefficient formula, for students in Grades 10-12.

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