Acost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch), production plant (kingsland, and yorktown), and productin shift (day, and evening). the response variable in this model is

a) bath size
b) production shift
c) total cost
d) variable cost

Option C is the right answer

Step-by-step explanation:

Given that a cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch), production plant (Kingsland, and Yorktown), and productin shift (day, and evening).

Here the prediction is for total cost and the variables affecting it are the number of boards, the production plant and the production shift.

Hence explanatory variables are the above three, while response variable is the total cost

Only total cost is the response variable

Option C is the right answer

pretty sure 750 each month!

step-by-step explanation:

step-by-step explanation:

points a and b are equidistant from the desired line, so the line you find by using them will go through point r.

using points other than a and b will give the desired line only if they are equidistant from r. if they are randomly located, the perpendicular line you create will not necessarily go through point r, hence will not be a solution to the problem.