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Asked by katelynn burns on Mar 10, 2024

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Which of the following are measures of the linear relationship between two variables,but not the strength?

A) The covariance
B) The coefficient of correlation
C) The variance
D) Both a and b

Covariance

A measure of the joint variability of two random variables, giving insight into how the variables change together.

Coefficient Of Correlation

A numerical measure that indicates the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

Linear Relationship

A type of correlation where the change in one variable is directly proportional to the change in another variable.

  • Understand and apply measures of linear relationship between two variables.
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AG
Annalee Geels

Mar 10, 2024

Final Answer :
A
Explanation :
The covariance measures the direction and magnitude of the linear relationship between two variables but does not give an indication of the strength of the relationship. The coefficient of correlation, on the other hand, gives a measure of both the direction and strength of the linear relationship between two variables. The variance is not a measure of the relationship between two variables.

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