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.

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Monthly sales at a coffee shop have been analyzed. The seasonal index values are \[\begin{array} { c r } \text { Month } & \text { Index } \\ \hline \text { Jan } & 1.38 \\ \text { Feb } & 1.42 \\ \text { Mar } & 1.35 \\ \text { Apr } & 1.03 \\ \text { May } & .99 \\ \text { June } & .62 \\ \text { July } & .51 \\ \text { Aug } & .58 \\ \text { Sept } & .82 \\ \text { Oct } & .82 \\ \text { Nov } & .92 \\ \text { Dec } & 1.56 \end{array}\] and the trend line is 74123 + 26.9(t). Assume there is no cyclical component and forecast sales for year 8 (months 97 - 108).

\[\begin{array} { c c c r } \text { SI

A) cannot be predicted. B) are regular repeated patterns. C) are long runs of observations above or below the trend line. D) reflect a shift in the series over time. A) cannot be predicted. B) are regular repeated patterns. C) are long runs of observations above or below the trend line. D) reflect a shift in the series over time.