In a small-scale regression study, five observations on Y were obtained corresponding to X = 1, 4, 10, 11, 14. Assume that σ = 0.6, β0 = 5, and β1 = 3.(a) What are the expected values of MSR and MSE here?(b) For determining whether or not a regression relation exists, would it have been better or worse to have made the five observations ad X = 6, 7, 8, 9, 10? Why? Would the same answer apply if the principal purpose were to estimate the mean response for X = 8? Discuss.

7200

aye bru this a great thing your doin here.

hello from mrbilldoesmath!

answer:

a(n) - a(n-1) -3

discussion:

this ones a bit interesting. given a(n) = 5 - 3n consider this:

a(n-1) = 5 - 3(n-1)

          = (5 - 3n) + 3             => but a(n) = 5 - 3n, the first term

          = a(n)   + 3                 => subtract 3 from both sides

a(n-1) -3 = a(n)  

or

a(n) - a(n-1) -3

you,

mrb

the answer is d

the answer is in the first quadrant, which make the y-int positive.

since the dots are going down, therefore the correlation is negative

i hope it is right.

m∠5 + m∠3 = m∠1   is true.

m∠5 + m∠6 = 180 is true

m∠2 +m∠3 = m∠6   is true

m∠2 +m∠3 +m∠5 = 180   is true