The monthly sales for Yazici​ Batteries, Inc., were as​ follows: Month Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Sales 21 20 15 15 13 16 17 17 20 22 23 23 This exercise contains only parts b and c. ​b) The forecast for the next month​ (Jan) using the naive method​ = nothing sales ​(round your response to a whole​ number).The forecast for the next period (Jan) using a 3-month moving average approach = sales (round your response to two decimal places). 3-month moving average: (20 + 21 + 24)/3 = 21.6666 The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20, 0.20 and 0.30 where the heaviest weights are applied to the most recent month = sales (round your response to one decimal place). Under 6 month weighted average method, weights are assigned to actual data to arrive at weighted average of the results as forecast for next period. As per given criteria in the question, the highest weight is assigned to the most recent month. So, weights will be assigned as follows: Dec - 0.30 Nov - 0.20 Oct - 0.20 Sep - 0.10 Aug - 0.10 Jul - 0.10 So, weighted avearge forecast = 24 x 0.30 + 21 x 0.20 + 20 x 0.20 + 22 x 0.10 + 18 x 0.10 + 17 x 0.10 = 21.1Please show me and explain this part Using exponential smoothing with α = 0.35 and a September forecast of 21.00, the forecast for the next period (Jan) = sales (round your response to two decimal places).