In a multivariate regression model looking at X and Y, what does it mean to control for a confounding factor (A) versus explore the effect of a factor (B)? What is the difference? A confounding factor may serve as an explanatory factor for an X-Y relationship. Please give an example of a potentially confounding relationship, and a different example for a factor that is potentially explanatory for an X-Y relationship.