Brand Z's annual sales are affected by the sales of related products X and Y as follows: Each $1 million increase in sales of brand X causes a $2.8 million decline in sales of brand Z, whereas each $1 million increase in sales of brand Y results in an increase of $0.5 million in sales of brand Z. Currently, brands X, Y, and Z are each selling $6 million per year. Model the sales of brand Z using a linear function. (Let z = annual sales of Z (in millions of dollars), x = annual sales of X (in millions of dollars), and y = annual sales of Y (in millions of dollars).)
Let Z = Z0 + a(X-X0) + b(Y-Y0), where X, Y and Z are sales in million dollars.
Where 'Z0' is a constant which is starting point of 'Z'.
'a' is the rate of change of Z with respect to 'X'
'b' is the rate of change of Z with respect to 'Y'
and, X0 and Y0 are the starting point of 'X' and 'Y' respectively.
We are given that each $1 million increase in sales of brand X causes a $2.8 million decline in sales of brand Z, whereas each $1 million increase in sales of brand Y results in an increase of $0.5 million in sales of brand Z.
So, we can say that -
a = -2.8 and b = 0.5
Also, all the three variables are starting at 6.
So, X0 = 6, Y0 = 6 and Z0 = 6.
Thus, the equation is -
Z = 6 - 2.8(X - 6) + 0.5(Y - 6)
= 6 - 2.8(X) + 16.8 + 0.5(Y) - 3
So, Z = 19.8 - 2.8(X) + 0.5(Y) million dollars.
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