Abstarct: Researchers have investigated the effects of limit theoremes on linear processes‎. ‎Many of these results have been demonstrated for linear processes with constant coefficients‎. ‎Linear processes with random coefficients are a more extended form of linear processes with constant coefficients‎. ‎In most circumstances in practice and nature‎, ‎since there are conditions that the independent random variables can not be considered‎, ‎we investigate the limit theorems for linear processes with random coefficients that contain extended negatively dependent random variables‎. ‎The purpose of this dissertation is the study of the strong law of large numbers‎, ‎convergence rate of the strong laws and the Marcinkiewicz-Zygmund‎, ‎and complete moment convergence for linear processes with random coefficients that contain extended negatively dependent random variables‎. ‎The results of this dissertation causes the expansion of the results that have been obtained by now‎.