Historical demand for a product is

a$.$ Using a weighted moving average with weights of $0\mathrm{.}50($June$),0\mathrm{.}20($May$),$ and $0\mathrm{.}30($April$),$ find the July forecast. Note: Round your answer to $1$ decimal place.

July forecast

b$.$ Using a simple three$-$month moving average, find the July forecast.

Note: Round your answer to $1$ decimal place.

July forecast

c$.$ Using single exponential smoothing with alpha$=0\mathrm{.}20$ and a June forecast $=12,$ find the July forecast.

Note: Round your answer to $1$ decimal place.

July forecast

d$.$ Using simple linear regression analysis, calculate the regression equation for the preceding demand data.

Note: Do not round intermediate calculations. Round your intercept value to $1$ decimal place and slope value to $2$ decimal

places.

Y$=$ e$.$ Using the regression equation in $\backslash ($ d $\backslash ),$ calculate the forecast for July.

Note: Do not round intermediate calculations. Round your answer to $1$ decimal place.

July forecast