To remove the effects of a third (or more) variables on the relationship between two interval or ratio-scaled variables is a purpose of:
A) partial correlation technique.
B) n-way cross tabulation technique
C) multiple regression technique.
D) logistic regression technique.

Question

Quizplus · Accepted Answer

The partial correlation technique allows for the relationship between two variables to be examined while controlling for the effects of a third (or more) variable. This helps remove the influence of the third variable and provides a more accurate understanding of the relationship between the original two variables. Options B, C, and D are not specifically designed for this purpose.

To Remove the Effects of a Third (Or More) Variables