Sales of quilt covers at Bud Banis's discount department store in Carbondale over the past year are shown below. Management prepared a forecast using a combination of exponential: and its collective judgment for the $4$ months $($March$,$ April, May, and June$)$: Month Unit Sales Management's Forecast Jul $98$ Aug $93$ Sep $96110$ Nov $120$ Dec $120$ Jan $95$ Feb $85$ Mar $102120$ Apr $96115$ May $89108$ Jun $110108$ a$)$ MAD for the forecast developed by the management's technique $=$ sales $($round your response to two decimal places$).$ MAPE for the forecast developed by the managements technique $=\%($round your response to two decimal places$).$ b$)$ Using the Naive Method, the forecast for period March through June is $($round your response to two decimal places$)$: Month Unit Sales Naive Forecast Jul $98$ Aug $93$ Sep $96$ Oct $110$ Nov $120$ Dec $120$ Jan $95$ Feb $85$ Mar $102$ Apr $96$ May $89$ Jun $110$ MAD for the naive forecast $=$ sales $($round your response to two decimal places$).$ MAPE for the forecast developed by the naive approach $=\%($round your response to two decimal places$).$ c$)$ When comparing MAD for the two approaches, the better forecast is achieved using the When comparing MAPE for the two approaches, the better forecast is achieved using theand its collective judgment for the $4$ months $($March$,$ April, May, and June$)$:

a$)$ MAD for the forecast developed by the management's technique $=$ sales $($round your response to two decimal places$).$

MAPE for the forecast developed by the management's technique $=,\%($round your response to two decimal places$).$

b$)$ Using the Naive Method, the forecast for period March through June is $($round your response to two decimal places$)$:

MAD for the naive forecast $=,$ sales $($round your response to two decimal places$).$

MAPE for the forecast developed by the naive approach $=,\%($round your response to two decimal places$).$

c$)$ When comparing MAD for the two approaches, the better forecast is achieved using the

When comparing MAPE for the two approaches, the better forecast is achieved using the