Historical demand for a product is

a$.$ Using a weighted moving average with weights of $0\mathrm{.}60($June$),0\mathrm{.}20($May$),$ and $0\mathrm{.}20($April$),$ find the July forecast.

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

Answer is complete and correct.

July forecast

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

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

Answer is complete and correct.

July forecast

c$.$ Using single exponential smoothing with $=0\mathrm{.}30$ and a June forecast $=11,$ find the July forecast.

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

Answer is complete and correct.

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.

Answer is complete but not entirely correct.

e$.$ Using the regression equation in $d,$ calculate the forecast for July.

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

Answer is complete but not entirely correct.

July forecast