Problem 3 ( 8 points) A manager received an analysis of several cities being considered for a new office complex. The data (10 points maximum) are as follows: \begin{tabular}{|c|c|c|c|} \hline \multirow[b]{2}{*}{ Factor } & \multicolumn{3}{|c|}{LocationScore} \\ \hline & A & B & C \\ \hline Businessservices & 9 & 5 & 5 \\ \hline Communityservices & 7 & 6 & 7 \\ \hline Realestatecost & 3 & 8 & 7 \\ \hline Constructioncosts & 5 & & 15 \\ \hline Cost of living & 4 & 7 & 8 \\ \hline Taxes & 5 & 5 & 4 \\ \hline Transportation & 6 & 7 & \\ \hline \end{tabular} a. If the manager weights the factors equally, how would the locations stack up in terms of their composite factor rating scores? Which is/are the best locations? b. If business services and construction costs are given weights that are double the weights of the other factors, how would the locations stack up