$\backslash$table$[[$Month$,\backslash$table$[[$Sales$],[(000)$ Units$]]],[$Feb$.,17],[$Mar$.,20],[$Apr$.,12],[$May$.,22],[$Jun$.,19],[$Jul$.,24],[$Aug$.,26]]$

Forecast September sales volume using each of the following:

$(1)$ The naive approach. housands

$(2)$ A five$-$month moving average housands $($Round your answer to $2$ decimal places.$)$

$(3)$ A weighted average using $0\mathrm{.}60$ for August, $0\mathrm{.}10$ for July, and $0\mathrm{.}30$ for June. thousands $($Round your answer to $2$ decimal places.$)$

$(4)$ Exponential smoothing with a smoothing constant equal to $0\mathrm{.}20,$ assuming a March forecast of $16(000).$ thousands $($Round your intermediate forecast values and final answer to $2$ decimal places.$)$