Based on the data shown below, calculate the correlation coefficient (rounded to three decimal places)

x	y
5	27.55
6	26
7	22.55
8	24.7
9	21.75
10	19
11	21.65
12	18.7


The correlation coefficient between the given \( x \) and \( y \) values is \( -0.896 \), rounded to three decimal places.

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Here are 5 related questions you might find interesting:
1. How is the correlation coefficient used in regression analysis?
2. What does a negative correlation coefficient indicate about the relationship between variables?
3. How do outliers affect the correlation coefficient?
4. Can correlation imply causation in data analysis?
5. What are the limitations of using the Pearson correlation coefficient?

**Tip:** A correlation coefficient close to -1 or 1 indicates a strong linear relationship, whereas a value near 0 suggests no linear relationship.

Based on the data shown below, calculate the correlation coefficient (rounded to three decimal places)
x	y
5	27.55
6	26
7	22.55
8	24.7
9	21.75
10	19
11	21.65
12	18.7

Learn how to calculate the Pearson correlation coefficient for the given data points. This example involves finding the correlation between x and y values, using statistical formulas to measure the strength of a linear relationship. Perfect for students in Grades 10-12 studying statistics.

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