Answer:
(Hope this helps can I pls have brainlist (crown) ☺️)
Step-by-step explanation:
Assume you've conducted a research comparing the wages of male and female college graduates. However, because incomes rise with experience, the concurrent variable 'time out of college' has the potential to distort our data if it is not taken into consideration.
A concomitant variable is a variable that we notice throughout the course of our study or statistical analysis, but that we are unable to control and that is unrelated to our analysis. Better education, for example, usually leads to higher earnings. Higher education is a stand-alone factor.
