Q$1($Ref: Q$.3-4,$ p$100$ of textbook$)$: An electrical contractor$$s records during the last five weeks indicate the following number of job requests:

Week: $12345$ Requests: $2022182122$

Predict the number of requests for week $6$ using each of these methods:

$($a$)$ Na$$ve$.$

$($a$)$ Determine quarterly seasonal relatives using the centred moving average method.

$($b$)$ Deseasonalize the data, fit an appropriate model to the deseasonalized data, extend it four quarters, and finally reseasonalize the projections.

Q$4($Ref: Q$.3-29,$ p$105$ of textbook$)$: Two different forecasting techniques were used to forecast demand for cases of bottled water in a store. Actual demand and the two sets of forecasts for seven periods are as follows:

$($b$)($c$)$

Four$-$week moving average. Exponential smoothing with $\backslash$alpha $=0\mathrm{.}30.$