Suppose that X has a normal N(µ, σ2 ) distribution and that Y = X + Z, where Z is independent of X and has a N(γ, τ 2 ) distribution. Find the best predictors of Y given X and of X given Y . Calculate the the expected squared prediction errors of the two best predictors.

goog may have it for you

days of the week

step-by-step explanation:

javier earned more money then kyle, so that won't always be a constant term, but the days of the week do not change so that term is always constant.

edit: i meant

sinn is the total amount of students now and m were the students before, you subtract them both (n-m) and divide that by m. then, since to get a percentage from a fraction you have to multiply by 100, your answer should look like this: n-m/m*100

step-by-step explanation: