venty different statistics students are randomly selected. For each of them, their body temperature ("C) is measured and their head circumference (cm) is measured. If it is found that r=0, does that indicate that there is no association between ese two variables? hoose the correct answer below. O A. No, because r does not measure the strength of the relationship, only its direction. OB. No, because if r=0, the variables are in a perfect linear relationship. O C. Yes, because ifr=0, the variables are completely unrelated. O D. No, because while there is no linear correlation, there may be a relationship that is not linear.

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**Question:**

Twenty different statistics students are randomly selected. For each of them, their body temperature (°C) is measured and their head circumference (cm) is measured. If it is found that \( r = 0 \), does that indicate that there is no association between these two variables?

**Choose the correct answer below:**

- **A.** No, because \( r \) does not measure the strength of the relationship, only its direction.

- **B.** No, because if \( r = 0 \), the variables are in a perfect linear relationship.

- **C.** Yes, because if \( r = 0 \), the variables are completely unrelated.

- **D.** No, because while there is no linear correlation, there may be a relationship that is not linear.
Transcribed Image Text:**Question:** Twenty different statistics students are randomly selected. For each of them, their body temperature (°C) is measured and their head circumference (cm) is measured. If it is found that \( r = 0 \), does that indicate that there is no association between these two variables? **Choose the correct answer below:** - **A.** No, because \( r \) does not measure the strength of the relationship, only its direction. - **B.** No, because if \( r = 0 \), the variables are in a perfect linear relationship. - **C.** Yes, because if \( r = 0 \), the variables are completely unrelated. - **D.** No, because while there is no linear correlation, there may be a relationship that is not linear.
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