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A Time Series Is Shown in the Table Below A Compute the Five-Day Moving Averages to Remove the Seasonal

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A time series is shown in the table below:  Week  Day 1234 Monday 16151821 Tuesday 22212025 Wednesday 20232024 Thursday 29283228 Friday 35312936\begin{array}{l}\text { Week }\\\begin{array} { | l | c c c c | } \hline \text { Day } & 1 & 2 & 3 & 4 \\\hline \text { Monday } & 16 & 15 & 18 & 21 \\\text { Tuesday } & 22 & 21 & 20 & 25 \\\text { Wednesday } & 20 & 23 & 20 & 24 \\\text { Thursday } & 29 & 28 & 32 & 28 \\\text { Friday } & 35 & 31 & 29 & 36 \\\hline\end{array}\end{array} a. Compute the five-day moving averages to remove the seasonal and random variation.
b. Calculate the seasonal (daily) indexes.
c. What do the daily indexes tell us?
d. Find the regression trend line.
e. Calculate the seasonal indexes, based on the regression trend line developed in (d).

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