When Interpreting the Covariance Between Variables X and Y, Which

question 71

Multiple Choice

When interpreting the covariance between variables x and y, which of the following statements is the most accurate?

• A) A negative value of covariance that, on average, if x is below its mean, then y tends to be below its mean.
• B) A positive value of covariance indicates that, on average, if x is above its mean, then y tends to be above its mean.
• C) A positive value of covariance indicates that, on average, if x is above its mean, then y tends to be below its mean.
• D) A negative value of covariance indicates that, on average, if x is above its mean, then y tends to be above its mean.

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Definitions:

Mean

A type of average calculated by summing values and dividing that sum by the number of values.

Average Scores

The mean value calculated by adding all the scores together and dividing by the number of scores.

Dependent-Samples T-Test

A statistical procedure used to compare the means of two related groups, indicating whether there's a significant difference under the assumption of normally distributed differences.

Research Hypothesis

A specific, testable prediction about the expected outcome of a study, often implying a relationship between variables.