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The ChatCamp Outdoor Company is a catalog sales operation that specializes in outdoor recreational clothing. Demand for its items is very seasonal, peaking during the

The ChatCamp Outdoor Company is a catalog sales operation that specializes in outdoor recreational
clothing. Demand for its items is very seasonal, peaking during the Christmas season and
during the spring. It has accumulated the following data for orders per season (quarter) during the
past 5 years:
Quarter
Orders (1,000s)/Year Average
Demad per
Quarter
Seasonal
Index12345
Jan-Mar 27.5028.5037.5042.5049.50
Apr - Jun 26.7531.7534.7542.7544.75
Jul - Sep 29.0032.0041.0044.0048.00
Oct-Dec 27.2532.2542.2547.2553.25
a. Calculate the overall average demad.
b. Calculate the average demad per quarter in the space given in the above table.
c. Calculate the seasonal index in the space given in the above table.
d. Develop a linear trend line (simple linear regression line) forecast for each of the four seasons season for year 6.
(Create a separate table as we did in the Chapter 15 Assessment, then find the intercept and the slope of the trend line.)
Intercept
Time (Slope)
Forecast using trend (only) Year 6- Jan-Mar
Year 6- Apr - Jun
Year 6- Jul - Sep
Tear 6- Oct-Dec
e. Draw a time-series plot with original data and the trend line.
f. Calculate he Mean Squared Error (MSE) for the trend-line-only forcast.MSE
g. Projection for quarters 1 through 4 of year 6 using trend and seasonal index.
Year 6- Jan-Mar (Trend*Seasonal Index):
Year 6- Apr - Jun
Year 6- Jul - Sep
Tear 6- Oct-DecProblem 5(20 Points)
The ChatCamp Outdoor Company is a catalog sales operation that specializes in outdoor recreational
clothing. Demand for its items is very seasonal, peaking during the Christmas season and
during the spring. It has accumulated the following data for orders per season (quarter) during the
past 5 years:
a. Calculate the overall average demad.
b. Calculate the average demad per quarter in the space given in the above table.
c. Calculate the seasonal index in the space given in the above table.
d. Develop a linear trend line (simple linear regression line) forecast for each of the four seasons season for year 6.
(Create a separate table as we did in the Chapter 15 Assessment, then find the intercept and the slope of the trend line.)
Intercept
Time (Slope)
Forecast using trend (only)
e. Draw a time-series plot with original data and the trend line.
f. Calculate he Mean Squared Error (MSE) for the trend-line-only forca MSE
g. Projection for quarters 1 through 4 of year 6 using trend and seasonal index.
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