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table [ [ Item Description,JAN,FEB,MAR,APR,MAY,JUN ] , [ 1 0 5 Flat Screen TV , 5 5 , 6 7 , 7 5 ,

\table[[Item Description,JAN,FEB,MAR,APR,MAY,JUN],[105 Flat Screen TV,55,67,75,82,,],[60 Count Adult Hangers,5609,6860,2501,3423,7341,],[Power Steering Fluid,4925,4201,3869,3966,3720,],[Aquafina Water 32 Count,3504,7936,8131,6255,7722,],[Pelligrino Sparkling Water 24 PK,1447,1382,1426,1263,1072,],[Crayola Scribble Scrubby Animal Toy,477,511,462,289,561,],[Princeton Research Apple Cider Vinegar,46,72,74,11,82,]]
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): 0.4,0.3,0.2,.05,.05; what would be the forecast for the Aquafina Water 32 Count in June (Please round up to the nearest whole number)?
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