2. Historical demand for a product is \begin{tabular}{lc} \hline & Demand \\ \hline January & 12 \\ February & 11 \\ March & 15 \\ April & 12 \\ May & 16 \\ June & 15 \\ \hline \end{tabular} a. Using a weighted moving average with weights of 0.60,0.30, and 0.10 , find the July forecast. b. Using a simple 3-month moving average, find the July forecast. c. Using single exponential smoothing with =0.2 and a June forecast 13, find the July forecast. Make whatever assumptions you wish. d. Using simple linear regression analysis, calculate the regression equation for the demand data