5. If one set of paired data x and y has an r=0.58 and a different set of paired data c and d has an r =- 0.83, then which set of paired data has the stronger correlation? (assume both sets have the same sample size.) a) x and y b) c and d c) there is no significant difference d) not enough information e) none of these

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### Correlation Strength in Paired Data Sets

**Problem Statement:**

If one set of paired data \( x \) and \( y \) has an \( r = 0.58 \) and a different set of paired data \( c \) and \( d \) has an \( r = -0.83 \), then which set of paired data has the stronger correlation? (Assume both sets have the same sample size.)

**Options:**
a) \( x \) and \( y \)  
b) \( c \) and \( d \)  
c) there is no significant difference  
d) not enough information  
e) none of these

**Solution Explanation:**

The correlation coefficient \( r \) measures the strength and direction of the linear relationship between two variables. Correlation coefficients range from \( -1 \) to \( 1 \).

- A correlation of \( 1 \) implies a perfect positive linear relationship.
- A correlation of \( -1 \) implies a perfect negative linear relationship.
- A correlation of \( 0 \) implies no linear relationship.

In this problem:
 
- \( r = 0.58 \) for the \( x \) and \( y \) data pair indicates a moderate positive correlation.
- \( r = -0.83 \) for the \( c \) and \( d \) data pair indicates a strong negative correlation.

To determine which correlation is stronger, we compare the absolute values of the correlation coefficients. 

- The absolute value of \( 0.58 \) is \( 0.58 \).
- The absolute value of \( -0.83 \) is \( 0.83 \).

Since \( 0.83 \) is greater than \( 0.58 \), the correlation between \( c \) and \( d \) is stronger than the correlation between \( x \) and \( y \).

Therefore, the correct answer is:
b) \( c \) and \( d \)
Transcribed Image Text:### Correlation Strength in Paired Data Sets **Problem Statement:** If one set of paired data \( x \) and \( y \) has an \( r = 0.58 \) and a different set of paired data \( c \) and \( d \) has an \( r = -0.83 \), then which set of paired data has the stronger correlation? (Assume both sets have the same sample size.) **Options:** a) \( x \) and \( y \) b) \( c \) and \( d \) c) there is no significant difference d) not enough information e) none of these **Solution Explanation:** The correlation coefficient \( r \) measures the strength and direction of the linear relationship between two variables. Correlation coefficients range from \( -1 \) to \( 1 \). - A correlation of \( 1 \) implies a perfect positive linear relationship. - A correlation of \( -1 \) implies a perfect negative linear relationship. - A correlation of \( 0 \) implies no linear relationship. In this problem: - \( r = 0.58 \) for the \( x \) and \( y \) data pair indicates a moderate positive correlation. - \( r = -0.83 \) for the \( c \) and \( d \) data pair indicates a strong negative correlation. To determine which correlation is stronger, we compare the absolute values of the correlation coefficients. - The absolute value of \( 0.58 \) is \( 0.58 \). - The absolute value of \( -0.83 \) is \( 0.83 \). Since \( 0.83 \) is greater than \( 0.58 \), the correlation between \( c \) and \( d \) is stronger than the correlation between \( x \) and \( y \). Therefore, the correct answer is: b) \( c \) and \( d \)
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