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1 . The following data covers 3 0 periods ( could be years or quarters or months ) for company ABC s sales in $millions.

1
.
The following data covers
3
0
periods
(
could be years or quarters or months
)
for company
ABC
s sales in $millions.
Period Sales
(
Y
)
1
6
5
2
7
0
3
7
5
4
8
0
5
7
5
6
7
0
7
8
5
8
8
0
9
8
8
1
0
9
0
1
1
8
5
1
2
1
0
0
1
3
1
0
5
1
4
1
0
2
1
5
9
8
1
6
1
0
5
1
7
1
0
8
1
8
1
1
5
1
9
1
1
8
2
0
1
2
0
2
1
1
2
2
2
2
1
2
8
2
3
1
3
0
2
4
1
2
5
2
5
1
3
2
2
6
1
3
5
2
7
1
3
8
2
8
1
4
5
2
9
1
4
0
3
0
1
3
8
4
.
Run
4
-
period and
5
-
period moving average forecasts for the above sales data and
compare the forecasts using MAD, MAPE, MSE, RMSE. Forecast for one period
ahead
(
beyond the sample
)
.
Also calculate the Mean Percentage Error
(
MPE
)
for
MA
(
4
)
and MA
(
5
)
forecasts and discuss the systematic bias
(
if any
)
illustrating with the
plot of actual vs forecasted values and plots of errors for both MA
(
4
)
and MA
(
5
)
forecasts. Why do you think such a systematic biases, if any, may occur?
5
.
Correct this bias by performing a Double Moving Average method with four periods
and plot the errors of DMA
(
4
)
.
Calculate its MAD, MAPE, MSE, RMSE, and MPE
and compare with simple MA
(
4
)
forecast. Make a forecast for period
2
6
(
one period
beyond the sample
)
using DMA
(
4
)
.

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