excel please

\begin{tabular}{|l|c|cc|c} \hline & Period & Time Prd & Year & Demand (I \\ \hline 4 & 1 & Q1 & 2018 & 200 \\ \hline 5 & 2 & Q2 & 2018 & 216 \\ \hline 6 & 3 & Q3 & 2018 & 222 \\ \hline 7 & 4 & Q4 & 2018 & 270 \\ \hline 8 & 5 & Q1 & 2019 & 218 \\ \hline 9 & 6 & Q2 & 2019 & 236 \\ \hline 10 & 7 & Q3 & 2019 & 246 \\ \hline 11 & 8 & Q4 & 2019 & 296 \\ \hline 12 & 9 & Q1 & 2020 & 258 \\ \hline 13 & 10 & Q2 & 2020 & 264 \\ \hline 14 & 11 & Q3 & 2020 & 276 \\ \hline 15 & 12 & Q4 & 2020 & 322 \\ \hline 16 & 13 & Q1 & 2021 & 282 \\ \hline 17 & 14 & Q2 & 2021 & 290 \\ \hline 18 & 15 & Q3 & 2021 & 306 \\ \hline 19 & 16 & Q4 & 2021 & 358 \\ \hline 20 & & & & \\ \hline \end{tabular} The department manager has decided that the appropriate forecasting model for the sales of laptops at a local electronics store is the Winter's Model with additive trend and multiplicative seasonality. Given the time series data set in the Excel spreadsheet (Sheet 1 - Laptops), make the forecasts for the four (4) quarters (Q1, Q2, Q3 and Q4 ) for the year 2022. Make sure to include a line chart with markers indicating the actual demand, the trend line, and your forecasts. Also, calculate the MAD, MSE, MAPE, bias and the tracking signal for the manager's forecast. Use the supplied Excel spreadsheet to input your answers with the correct formulas. Would you accept the manager's forecast based on any of the measurements above? Explain briefly. \begin{tabular}{|l|c|cc|c} \hline & Period & Time Prd & Year & Demand (I \\ \hline 4 & 1 & Q1 & 2018 & 200 \\ \hline 5 & 2 & Q2 & 2018 & 216 \\ \hline 6 & 3 & Q3 & 2018 & 222 \\ \hline 7 & 4 & Q4 & 2018 & 270 \\ \hline 8 & 5 & Q1 & 2019 & 218 \\ \hline 9 & 6 & Q2 & 2019 & 236 \\ \hline 10 & 7 & Q3 & 2019 & 246 \\ \hline 11 & 8 & Q4 & 2019 & 296 \\ \hline 12 & 9 & Q1 & 2020 & 258 \\ \hline 13 & 10 & Q2 & 2020 & 264 \\ \hline 14 & 11 & Q3 & 2020 & 276 \\ \hline 15 & 12 & Q4 & 2020 & 322 \\ \hline 16 & 13 & Q1 & 2021 & 282 \\ \hline 17 & 14 & Q2 & 2021 & 290 \\ \hline 18 & 15 & Q3 & 2021 & 306 \\ \hline 19 & 16 & Q4 & 2021 & 358 \\ \hline 20 & & & & \\ \hline \end{tabular} The department manager has decided that the appropriate forecasting model for the sales of laptops at a local electronics store is the Winter's Model with additive trend and multiplicative seasonality. Given the time series data set in the Excel spreadsheet (Sheet 1 - Laptops), make the forecasts for the four (4) quarters (Q1, Q2, Q3 and Q4 ) for the year 2022. Make sure to include a line chart with markers indicating the actual demand, the trend line, and your forecasts. Also, calculate the MAD, MSE, MAPE, bias and the tracking signal for the manager's forecast. Use the supplied Excel spreadsheet to input your answers with the correct formulas. Would you accept the manager's forecast based on any of the measurements above? Explain briefly