Consider the multiple regression model y = xβ + subject to a set of linear constraints of the form cβ = γ, where c is m × (k + 1) matrix. the gauss-markov conditions hold and also ∼ n(0, σ2 i). are the quadratic expressions y0 (i − h)y and y0 (h − h1)y independent? (h and h1 are the hat matrices of the full and reduced model respectively.)

Tabby sells clothing at a retail store, and she earns a commission of 6.25% on all items she sells. last week she sold a pair of jeans for $32.50, a skirt for $18.95, and 2 blouses for $14.95 each. what was tabby's total commission? a $4.15 b $5.08 c $81.35 d $348.60

Someone answer asap for ! a discount store’s prices are 25% lower than department store prices. the function c(x) = 0.75x can be used to determine the cost c, in dollars, of an item, where x is the department store price, in dollars. if the item has not sold in one month, the discount store takes an additional 20% off the discounted price and an additional $5 off the total purchase. the function d(y) = 0.80y - 5 can be used to find d, the cost, in dollars, of an item that has not been sold for a month, where y is the discount store price, in dollars. create a function d(c(x)) that represents the final price of an item when a costumer buys an item that has been in the discount store for a month. d(c(x)) =

What are the domain and range of the function f(x)=2^x+1