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). The response variable in this model is ____

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

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