c). Smooth the time series using the exponential smoothing method with a = 0.75. Fill in estimated values in the first blank row, and predicted value in the second row of the below table. Show necessary calculations in the blank space. Year 2018 2019 2020 2021 2022 Production 40 47 51 58 62 yt d). Make a forecast to the production of this factory in 2023 based on the above exponential smoothing method in c). e). Based on the Exponential Smoothing method, calculate the MAPE. Show necessary calculations in the blank space. f). Which method provides more accurate predictions relatively for this time series?t 8 (Chapter 20) 1. The production (in thousands) of a particular item in a factory has varied as follows: Year 2018 2019 2020 2021 2022 Production 40 47 51 58 62 a). Smooth the time series using four point moving average. Fill in estimated values in the first blank row, and predicted value in the second row of the below table. Show necessary calculations in the blank space. Year 2018 2019 2020 2021 2022 Production 40 47 51 58 62 It b). Make a forecast to the production of this factory in 2023 based on the simple moving average method in a). c) Based on the above Simple Moving Average method, calculate the MAPE. Show necessary calculations in the blank space