A. Suppose that the exposure for TV advertising was incorrectly estimated and should have been 875. How would the optimal solution have been affected?

b. Radio listening has gone down, and new marketing studies have found that the exposure has dropped to 150. How will this affect the optimal solution?

\begin{tabular}{|c|c|c|c|c|c|c|c|} \hline & B & C & D & E & F & G & H \\ \hline 6 & \multicolumn{4}{|c|}{ Objective Cell (Max) } & & & \\ \hline 7 & Cell & Name & Final Value & & & & \\ \hline 8 & $A$17 & TOTAL EXPOSURE & 10937.5 & & & & \\ \hline 9 & & & & & & & \\ \hline 10 & \multicolumn{4}{|c|}{ Decision Variable Cells } & & & \\ \hline 11 & & & Final & Reduced & Objective & Allowable & Allowable \\ \hline 12 & Cell & Name & Value & Cost & Coefficient & Increase & Decrease \\ \hline 13 & $B$10 & Minutes Radio & 4.93 & 0.00 & 350 & 1E+30 & 190.0000001 \\ \hline 14 & $C$10 & Minutes TV & 11.51 & 0.00 & 800 & 950.0000005 & 950.0000001 \\ \hline 15 & & & & & & & \\ \hline 16 & \multicolumn{2}{|c|}{ Constraints } & & & & & \\ \hline 17 & & & Final & Shadow & Constraint & Allowable & Allowable \\ \hline 18 & Cell & Name & Value & Price & R.H. Side & Increase & Decrease \\ \hline 19 & $D$13 & Budget & $25,000.00 & 0.44 & 25000 & 1E+30 & 25000 \\ \hline 20 & $D$14 & TV Requirement & 4.44089E16 & -250 & 0 & 3.75 & 43.75 \\ \hline \end{tabular}