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Which value of r indicates a stronger​ correlation: r = 0.807 or r = -0.856​? Explain your reasoning.

User WRAR
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2 Answers

5 votes

Final answer:

The value of r = -0.856 indicates a stronger correlation than r = 0.807 since its absolute value is closer to 1, signifying a stronger linear relationship regardless of the sign, which only denotes the direction of the correlation.

Step-by-step explanation:

The value of r indicates the strength of the correlation between two variables. Values of r that are close to -1 or +1 indicate a stronger linear relationship. Therefore, to judge which value indicates a stronger correlation between r = 0.807 and r = -0.856, we compare their absolute values.

The absolute value of r = 0.807 is 0.807, while the absolute value of r = -0.856 is 0.856, which is closer to 1. Consequently, r = -0.856 represents a stronger correlation than r = 0.807, regardless of the signs, since the sign of r only indicates the direction of the relationship, not the strength.

It's important to note that a positive r means that as one variable increases, so does the other, demonstrating a positive correlation. Alternatively, a negative r signifies that as one variable increases, the other decreases, indicating a negative correlation.

User Witttness
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8.3k points
6 votes

Answer:

r = -0.856

Step-by-step explanation:

The magnitude of the correlation coefficient (r) indicates the strength of the correlation, regardless of whether it is positive or negative. The closer the value of r is to 1 (positive) or -1 (negative), the stronger the correlation.

|0.807| = 0.807

|-0.856| = 0.856

0.856 > 0.807

So, r = -0.856 is stronger

User ActiveX
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