$\backslash$table$[[$March$,140,],[$April$,2,330,],[$May$,1,470,],[$June$,4,500,1313],[$July$,3,960,2767],[$August$,4,140,3310],[$September$,,4200]]$

b$.$ Prepare forecasts for June through September by using an exponential smoothing model with $=0\mathrm{.}2.$ Assume that the forecast for May was $1,800($enter your responses rounded to the nearest whole number$).$

$\backslash$table$[[$Month$,$Demand,Forecast$],[$March$,140,],[$April$,2,330,],[$May$,1,470,1,800],[$June$,4,500,1734],[$July$,3,960,2287],[$August$,4,140,2622],[$September$,,2926]]$

c$.$ Prepare forecasts for June through September by using an adjusted exponential smoothing model with $=0\mathrm{.}2$ and $=0\mathrm{.}4.$ Assume that the unadjusted forecast $F_t$ for May was $1,800$ and the trend factor $T_t$ for May was $800($enter your responses rounded to the nearest whole number$).$

$\backslash$table$[[$Month$,$Demand,$\backslash$table$[[$Unadjusted$],[$forecast$]],\backslash$table$[[$Adjusted$],[$forecast$]]],[$March$,140,,],[$April$,2,330,,],[$May$,1,470,1,800,],[$June$,4,500,1,734,]]$