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Given the following information: Year/Quarter Sales 1 1 121 2 144 3 117 4 112 2 1 165 2 192 3 153 4 144 3 1 209 2 240 3 189 4 176 Assume that there is a trend and a seasonal factor at work in the series so that the underlying model is O=TSI. Use the moving average approach to forecast sales for each quarter of year 4. Given the following information: SALES Day Four Weeks Three Weeks Two Weeks Last Week Ago Ago Ago M $2,200 $2,400 $2,300 $2,400 T 2,000 2,100 2,200 2,200 W 2,300 2,400 2,300 2,500 TH 1,800 1,900 1,800 2,000 F 1,900 1,800 2,100 2,000 S 2,800 2,700 3,000 2,900 Assume that there is a trend and a day of the week factor at work in the series. Use the moving average approach to forecast sales for each day of this week.

Forecasting Homework
Given the following information:
Year/Quarter    Sales
1    1    121
2    144
3    117
4    112
2    1    165
2    192
3    153
4    144
3    1    209
2    240
3    189
4    176
Assume that there is a trend and a seasonal factor at work in the series so that the underlying model is O=TSI.  Use the moving average approach to forecast sales for each quarter of year 4.

Given the following information:

SALES
Day    Four Weeks        Three Weeks        Two Weeks        Last Week
Ago            Ago            Ago

M    $2,200            $2,400            $2,300            $2,400
T      2,000                2,100              2,200              2,200
W      2,300              2,400              2,300              2,500
TH      1,800              1,900              1,800              2,000
F      1,900              1,800              2,100              2,000
S      2,800              2,700              3,000              2,900

Assume that there is a trend and a day of the week factor at work in the series.  Use the moving average approach to forecast sales for each day of this week.
Given the following data:
Year    Sales        Forecasted
Sales
2010    $1,000        $1,200
2011      1,100          1,300
Choose a value for alpha and use the exponential smoothing model to forecast sales for 2012.
Given the data in question 3, assume:
K=0
K=.5
K=1
K=1.5
Use the proportional change model to forecast sale for 2012, 2013, 2014, 2015, and 2016 using each of the assumed values for K.
5. The Universal Appliance Store has accumulated the following sales data and has asked you to isolate the trend:
1. Plot the sales data on a graph.

2. Use a 12 month centered moving average to isolate the trend.
a. Calculate a 12 month moving average
b. Calculate a 2 month moving average of the 12 month moving average to center
the moving average.

3. Plot the 12 month centered moving average on a graph.

4.  Use this information to forecast sales for the first half of 2013.

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