I'll give brainliest if you show your work. plz hurry. which statements are true? check all that apply. a square root of 1.8< 1.8 (this 1.8 is not square root) a square root of 1.8> 1 (this 1 is not a square root) a square root of 1.8< 1.9 (this 1.9 is is is a square root) 1.3 a square root of 1.9+ the square root of 1.8> 2 a square root of 1.9- the square root of 1.8> 0.1

Consider the linear model for a two-stage nested design with b nested in a as given below. yijk=\small \mu + \small \taui + \small \betaj(i) + \small \varepsilon(ij)k , for i=1,; j= ; k=1, assumption: \small \varepsilon(ij)k ~ iid n (0, \small \sigma2) ; \small \taui ~ iid n(0, \small \sigmat2 ); \tiny \sum_{j=1}^{b} \small \betaj(i) =0; \small \varepsilon(ij)k and \small \taui are independent. using only the given information, derive the least square estimator of \small \betaj(i) using the appropriate constraints (sum to zero constraints) and derive e(msb(a) ).