Seasonal patterns often occur in time series. The ratio-to-moving-average method facilitates the calculation of a seasonal adjustment factor to smooth out seasonal variations by “de-seasonalizing the data”. This process begins by tabulating data by quarter and calculating a centered moving average. In Year 1, quarterly sales were: 4000; 2000; 1000; 3000. Notice: no commas. 1. The four-quarter moving total is 2. This number is placed on the line between which two quarters? ____ and ____ (Use symbols I, II, III, IV) In Quarter I of Year 2, sales were 4000 3. The four-quarter moving total is ____ 4. This number is placed on the line between which two quarters? ____ and ____ (Use symbols I, II, III, IV) 5. The average of moving totals is ____ 6. The four-quarter moving average is ____ 7. The ratio to moving average for Quarter III of the first year is ___%
Seasonal patterns often occur in time series. The ratio-to-moving-average method facilitates the calculation of a seasonal adjustment factor to smooth out seasonal variations by “de-seasonalizing the data”. This process begins by tabulating data by quarter and calculating a centered moving average.
In Year 1, quarterly sales were: 4000; 2000; 1000; 3000. Notice: no commas.
1. The four-quarter moving total is
2. This number is placed on the line between which two quarters? ____
and ____ (Use symbols I, II, III, IV)
In Quarter I of Year 2, sales were 4000
3. The four-quarter moving total is ____
4. This number is placed on the line between which two quarters? ____
and ____ (Use symbols I, II, III, IV)
5. The average of moving totals is ____
6. The four-quarter moving average is ____
7. The ratio to moving average for Quarter III of the first year is ___%
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