The neighborhood XYZ store has the following data of monthly sales for the current year of the latest model of high-end smartphone. A demand forecast for next January (the first month of next year) is needed to set inventory levels. You are tasked to provide the best forecast of future sales for the next month ahead. You are to use the following methods: naive forecasting, simple moving average forecasting with a run length of 3 months, simple exponential smoothing with a smoothing parameter value of 0.2 , simple exponential smoothing with a smoothing parameter value of 0.8 , and simple linear regression. 2. Rounded to two (2) decimal places, the naive forecast value for next January is a. 160,00 b, 147,22 c. 15820 d. 161.50 e. 155.67