$\backslash$table$[[$Item Description,JAN,FEB,MAR,APR,MAY,JUN,JUL$],[105"$ Flat Screen TV$,47,41,44,27,,,],[60$ Count Adult Hangers,$5609,6860,2501,3423,7341,,],[$Power Steering Fluid,$4925,4201,3869,3966,3720,3970,],[$Aquafina Water $32$ Count,$3504,7936,8131,6255,7722,5689,],[$Pelligrino Sparkling Water $24$ PK$,1447,1382,1426,1263,1072,724,],[\backslash$table$[[$Crayola Scribble Scrubby Animal$],[$Toy$]],477,511,462,289,561,350,],[\backslash$table$[[$Princeton Research Apple Cider$],[$Vinegar$]],46,72,74,11,82,50,]]$

Please use the table above to answer the following questions

Utilizing the weighted moving average technique, and using $5$ periods of history, and applying the following weights $($with the first applying to the most recent month and following that sequence$)$: $0\mathrm{.}4,0\mathrm{.}3,0\mathrm{.}2,\mathrm{.}05,\mathrm{.}05$; what would be the forecast for the $60$ Count Adult Hanger in June $($Please round up to the nearest whole number$)?$

$$ a$.5087$ hangers

b$.6078$ hangers

c$.4025$ hangers

$$ d$.7033$ hangers