\begin{tabular}{|c|c|c|c|} \hline 4 & A & B & c \\ \hline 1 & Year & Quarter & Price \\ \hline 2 & 2010 & 1 & 263600 \\ \hline 3 & 2010 & 2 & 264100 \\ \hline 4 & 2010 & 3 & 259500 \\ \hline 5 & 2010 & 4 & 248900 \\ \hline 6 & 2011 & 1 & 251400 \\ \hline 7 & 2011 & 2 & 259200 \\ \hline 8 & 2011 & 3 & 251400 \\ \hline 9 & 2011 & 4 & 252000 \\ \hline 10 & 2012 & 1 & 272300 \\ \hline 11 & 2012 & 2 & 258600 \\ \hline 12 & 2012 & 3 & 265500 \\ \hline 13 & 2012 & 4 & 291200 \\ \hline 14 & 2013 & 1 & 290500 \\ \hline 15 & 2013 & 2 & 302400 \\ \hline 16 & 2013 & 3 & 322900 \\ \hline 17 & 2013 & 4 & 331000 \\ \hline 18 & 2014 & 1 & 324700 \\ \hline 19 & 2014 & 2 & 344400 \\ \hline 20 & 2014 & 3 & 327500 \\ \hline 21 & 2014 & 4 & 355400 \\ \hline 22 & 2015 & 1 & 347200 \\ \hline 23 & 2015 & 2 & 341000 \\ \hline 24 & 2015 & 3 & 330800 \\ \hline 25 & 2015 & 4 & 370300 \\ \hline \end{tabular} a. Use the training set to estimate the linear and the quadratic trend models with seasonal dummy variables and compute the resulting MSE, MAD, and MAPE for the validation set. Note: Do not round intermediate calculations. Round final answers to 2 decimal places. \begin{tabular}{|l|l|l|l|} \hline 22 & 2015 & 1 & 347200 \\ \hline 23 & 2015 & 2 & 341000 \\ \hline 24 & 2015 & 3 & 330800 \\ \hline 25 & 2015 & 4 & 370300 \\ \hline 26 & 2016 & 1 & 350800 \\ \hline 27 & 2016 & 2 & 380000 \\ \hline 28 & 2016 & 3 & 368600 \\ \hline 29 & 2016 & 4 & 371100 \\ \hline 30 & 2017 & 1 & 372500 \\ \hline 31 & 2017 & 2 & 386300 \\ \hline 32 & 2017 & 3 & 385500 \\ \hline 33 & 2017 & 4 & 409700 \\ \hline 34 & 2018 & 1 & 408000 \\ \hline 35 & 2018 & 2 & 423400 \\ \hline 36 & 2018 & 3 & 404300 \\ \hline \end{tabular} a. Use the training set to estimate the linear and the quadratic trend models with seasonal dummy variables and compute the resulting MSE, MAD, and MAPE for the validation set. Note: Do not round intermediate calculations. Round final answers to 2 decimal places