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
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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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
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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