Consider the problem described in the attached "insurance.docx" file. what is the MSE for months $6-10$ for the exponential smoothing technique?

Insurance.docx $14$ KB

A$.$

less than $591$

B$.$

greater than or equal to $591$ but less than $595$

C$.$

greater than or equal to $595$ but less than $599$

D$.$

greater than $599$ Consider the problem described in the attached "insurance.docx" file. what is the MAD for months $6-10$ for the exponential smoothing technique?

Insurance.docx $14$ KB

A$.$

less than $23$

B$.$

greater than or equal to $23$ but less than $25$

C$.$

greater than or equal to $25$ but less than $27$

D$.$

greater than or equal to $27$ Consider the problem described in the attached "insurance.docx" file. what is the mean absolute percent error for months $6-10$ for the exponential smoothing forecasts?

Insurance.docx $14$ KB

A$.$

less than $22\%$

B$.$

greater than or equal to $22\%$ but less than $24\%$

C$.$

greater than or equal to $24\%$ but less than $26\%$

D$.$

greater than $26\%$The management of an insurance company monitors the number of mistakes made by telephone service

representatives for a company they have subcontracted with. The number of mistakes for the past several

months appears in this table along with forecasts for mistakes made with three different forecasting

techniques. The column labeled Exponential was created using exponential smoothing with an alpha of

$0\mathrm{.}30.$ The column labeled MA is forecast using a moving average of three periods. The column labeled

WMA uses a $3-$month weighted moving average with weights of $0\mathrm{.}65,0\mathrm{.}25,$ and $0\mathrm{.}10$ for the most$-$to$-$least

recent months.