A customer comment phone line is staffed from 8:00
a.Use this information to calculate a seasonal index.
a.m.to 4:30 p.m.five days a week.Records are available that show the number of calls received every day for the last five weeks.

\begin{array} { c c c | c c c } \text { Week } & \text { Day } & \text { Number } & \text { Week } & \text { Day } & \text { Number } \\\hline 1 & \mathrm { M } & 28 & 4 & \mathrm { M } & 35 \\& \mathrm {~T} & 12 & & \mathrm {~T} & 17 \\& \mathrm {~W} & 16 & & \text { W } & 16 \\& \mathrm { TH } & 15 & & \text { TH } & 20 \\& \mathrm {~F} & 23 & & \mathrm {~F} & 29 \\2 & \mathrm { M } & 29 & 5 & \mathrm { M } & 37 \\& \mathrm {~T} & 10 & & \mathrm {~T} & 19 \\& \mathrm {~W} & 14 & & \text { W } & 18 \\& \mathrm { TH } & 14 & & \mathrm { TH } & 21 \\& \mathrm {~F} & 26 & & \mathrm {~F} & 28 \\3 & \mathrm { M } & 32 & & & \\& \mathrm {~T} & 15 & & &\\&W&15\\&TH&18\\&F&27\end{array}

b.Deseasonalize the data.
c.Find the trend line.
d.Assume there is no cyclical component and forecast the calls for week 6.

Using Exponential Smoothing, the Demand Forecast for Time Period 10 α\alphaα

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Using Exponential Smoothing, the Demand Forecast for Time Period 10 $\alpha$

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