Question 2 (i can a linear regression macel as speriled below. yt 3 0 13 1 it +3 2x2+ + ... + Et (i Win: is one importance viB o in the model above? fill Decuss ter covers of the erry burin Et iflij The approach to be employed 'n the es. iran of theend largely duga mis in 1e an the vialatin of the .lozan al Eurer regression assumptions. Discuss how the classical linear assumptions are vialszed in the sore model. (ie) What are the consequences of assump den violation to the cethanzed enflicaunts and variances