Partial correlation analysis:
A) simultaneously investigates the effects of several independent variables on a dependent variable.
B) is used to predict the probability that an object or individual will belong in one of two mutually exclusive categories.
C) is the measure of association between two linear variables after controlling for the effects of other variables.
D) simultaneously tests for the mean difference of the dependent variable with two or more nonmetric independent variables.

Question

Quizplus · Accepted Answer

Partial correlation analysis is used to measure the association between two linear variables while controlling for the effects of other variables. It does not investigate multiple independent variables at the same time, predict probabilities, or test for mean differences.

Partial Correlation Analysis