Explain how using multiple linear regression controls for confounding.

we know that multiple linear regression is the extension of simple linear regression .as simple linear regression contain only one independent variable. and multiple regression contain more than one independent variable. in the multiple linear regression there is some interaction effect of independent variable to the dependent variable and in this way multiple variables gives the coefficients related to the each variable which suggest the change in dependent variable and also gives the  idea of interaction which causes  confounding.