do working out please , thank you!

\begin{tabular}{|l|l|c|c|c|} \hline \multicolumn{1}{|c|}{} & \multicolumn{1}{c|}{ A } & B & C & D \\ \hline \multicolumn{1}{|l|}{} & Month & Year 1 & Year 2 & Year 3 \\ \hline 2 & January & 242 & 263 & 282 \\ \hline 3 & February & 235 & 238 & 255 \\ \hline 4 & March & 232 & 247 & 265 \\ \hline 5 & April & 178 & 193 & 205 \\ \hline 6 & May & 184 & 193 & 210 \\ \hline 7 & June & 140 & 149 & 160 \\ \hline 8 & July & 145 & 157 & 166 \\ \hline 9 & August & 152 & 161 & 174 \\ \hline 10 & September & 110 & 122 & 126 \\ \hline 11 & October & 130 & 130 & 148 \\ \hline 12 & November & 152 & 167 & 173 \\ \hline 13 & December & 206 & 230 & 235 \\ \hline 14 & & & \\ \hline 15 & & & \\ \hline \end{tabular} For the food and beverage sales data during the last three years at the Vintage Restaurant, what is its underlying pattern? b) Suppose that the sales data in the fourth year will turn out as follows (in $1000 s): What will be the mean absolute forecast error of having predicted each month separately using a trend line or FORECAST.LINEAR in Excel? Give your answer rounded to two decimals. c) Suppose that the sales data in the fourth year will turn out as follows (in $1000s ): What will be the mean squared error of having predicted each month using FORECAST.ETS with a 12-month seasonality? Give your answer rounded to two decimals. d)Suppose that the sales data in the fourth year will turn out as follows (in $1000 s): What will be the mean absolute percentage error of having predicted each month using a multiple linear regression with dummy variables for the months? Give your answer in percent rounded to two decimals. \begin{tabular}{|l|l|c|c|c|} \hline \multicolumn{1}{|c|}{} & \multicolumn{1}{c|}{ A } & B & C & D \\ \hline \multicolumn{1}{|l|}{} & Month & Year 1 & Year 2 & Year 3 \\ \hline 2 & January & 242 & 263 & 282 \\ \hline 3 & February & 235 & 238 & 255 \\ \hline 4 & March & 232 & 247 & 265 \\ \hline 5 & April & 178 & 193 & 205 \\ \hline 6 & May & 184 & 193 & 210 \\ \hline 7 & June & 140 & 149 & 160 \\ \hline 8 & July & 145 & 157 & 166 \\ \hline 9 & August & 152 & 161 & 174 \\ \hline 10 & September & 110 & 122 & 126 \\ \hline 11 & October & 130 & 130 & 148 \\ \hline 12 & November & 152 & 167 & 173 \\ \hline 13 & December & 206 & 230 & 235 \\ \hline 14 & & & \\ \hline 15 & & & \\ \hline \end{tabular} For the food and beverage sales data during the last three years at the Vintage Restaurant, what is its underlying pattern? b) Suppose that the sales data in the fourth year will turn out as follows (in $1000 s): What will be the mean absolute forecast error of having predicted each month separately using a trend line or FORECAST.LINEAR in Excel? Give your answer rounded to two decimals. c) Suppose that the sales data in the fourth year will turn out as follows (in $1000s ): What will be the mean squared error of having predicted each month using FORECAST.ETS with a 12-month seasonality? Give your answer rounded to two decimals. d)Suppose that the sales data in the fourth year will turn out as follows (in $1000 s): What will be the mean absolute percentage error of having predicted each month using a multiple linear regression with dummy variables for the months? Give your answer in percent rounded to two decimals