There are 6 questions , for some reasons it cannot be transfer to txt so I update the picture.

Consider the following sample regression of a crime model explaining number of arrests: narr86 = .712 -.150penv -.034ptime86 - .104qemp86 n = 2, 725, R' = .0413 a) Which assumptions MLR.1-MLR.6 are required for each of the following? (i) E(B;) = Bj for j = 1, ., k 02 (ii) Var(B;) = SST; (1 - R;) for j = 1, ..., k (iii) the statistic B; - Bj se ( B; ) distributed as tn-k-1 (iv) plim(B;) = B; for j = 1, .., k b) Give the name for the property in (i) and for the property in (iv) c) If the unobservables 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