Consider the following sample regression of a. crime model explaining number of arrests: \"m6 = .712 150me .034ptim686 .104qemp86 n = 2,725, R2 = .0413 8.) Which assumptions MLR.1-MLR.6 are required for each of the following? A (i) 3033') = 3;; for 3' = Lush (T2 (11) VGT(j) 1" W for j =1, ..., '6 (iii) the statistic \" rj distributed as tn_k_1 33(53') (iv) plim(BJ-) = 63- for j = 1, ...,k b) Give the name for the property in (i) and for the property in (iv) e) If the unobservable; in this model are not distributed normally, which of the above properties will fail to hold? In the case of this regression, what can you say instead and why