The measure of linear association between two random variables that represents their joint variability is called:
A)hypergeometric probability.
B)conditional probabilities.
C)covariance.
D)mean.

Question

Quizplus · Accepted Answer

Covariance measures the extent to which two random variables change in tandem from their expected values. It quantifies the degree to which two variables are related, with a positive covariance indicating a positive relationship and a negative covariance indicating a negative relationship. Choice A is incorrect as hypergeometric probability is a distribution that gives the probability of k successes in n draws from a finite population without replacement. Choice B is incorrect as conditional probability is the probability of an event occurring given that some other event has occurred. Choice D is incorrect as mean is a measure of central tendency and does not represent the joint variability between two random variables.

The Measure of Linear Association Between Two Random Variables That