Partial correlation is defined as:

Partial correlation is defined as:

• A. Partial correlation ignores other variables.
• B. Partial correlation is the same as zero-order correlation.
• C. Partial correlation measures the relationship between two variables while controlling for one or more additional variables.
• D. Partial correlation is a type of nonparametric test.

Answer: (C)

Partial correlation measures the relationship between two variables after removing the influence of one or more additional variables. In practice, you’re isolating the association of interest by accounting for other variables that might be confounding the link, often by correlating the residuals after regressing each variable on the controls or by using a covariance-based formula. This is the best description because it captures the key idea: you’re not looking at the raw relationship, but the relationship that remains once the effects of the controlling variables have been removed. For example, if you want to know how study time relates to exam score independent of prior knowledge, partial correlation tells you that direct association after accounting for prior knowledge. It’s not about ignoring other variables, which would describe a simple (zero-order) correlation. It’s not the same as zero-order correlation, which does not control for other factors. And it’s not a nonparametric test; partial correlation is a parametric technique that relies on assumptions about the relationships and distributions involved (though variations exist).

Partial correlation measures the relationship between two variables after removing the influence of one or more additional variables. In practice, you’re isolating the association of interest by accounting for other variables that might be confounding the link, often by correlating the residuals after regressing each variable on the controls or by using a covariance-based formula.

This is the best description because it captures the key idea: you’re not looking at the raw relationship, but the relationship that remains once the effects of the controlling variables have been removed. For example, if you want to know how study time relates to exam score independent of prior knowledge, partial correlation tells you that direct association after accounting for prior knowledge.

It’s not about ignoring other variables, which would describe a simple (zero-order) correlation. It’s not the same as zero-order correlation, which does not control for other factors. And it’s not a nonparametric test; partial correlation is a parametric technique that relies on assumptions about the relationships and distributions involved (though variations exist).