Given the following demand data,

PeriodDemand$162259364459565$

Compute a weighted average forecast using a weight of $0\mathrm{.}4$ for the most recent period, $0\mathrm{.}3$ for the next most recent, $0\mathrm{.}2$ for the next, and $0\mathrm{.}1$ for the next.

Note: Round all your answers to two decimal points.

If the actual demand for period $6$ is $63,$ forecast demand for period $7$ using the same weights as in part a$.$

A five$-$month moving average.

Note: Round your answer to $2$ decimal places.

A weighted average using $0\mathrm{.}75$ for August, $0\mathrm{.}15$ for July, and $0\mathrm{.}10$ for June.

Note: Round your answer to $2$ decimal places.

Exponential smoothing with a smoothing constant equal to $0\mathrm{.}30,$ assuming a March forecast of $18(000).$

Note: Round your intermediate forecast values and final answer to $2$ decimal places.

A linear trend equation.

Note: Round your intermediate calculations and final answer to $2$ decimal places.