A company that sells musical instruments has been in business for five years. During that time, sales of pianos increased from 13 units in the first year to 77 units in the most recent year. The firm's owner wants to develop a forecast of piano sales for the coming year. The quarterly sales data follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 Total Yearly Sales 1 5 2 1 5 13 2 7 4 4 14 29 3 11 3 5 16 35 4 12 9 7 22 50 5 19 10 13 35 77
A company that sells musical instruments has been in business for five years. During that time, sales of pianos increased from 13 units in the first year to 77 units in the most recent year. The firm's owner wants to develop a forecast of piano sales for the coming year. The quarterly sales data follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 Total Yearly Sales 1 5 2 1 5 13 2 7 4 4 14 29 3 11 3 5 16 35 4 12 9 7 22 50 5 19 10 13 35 77
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A statistical program is recommended.
A company that sells musical instruments has been in business for five years. During that time, sales of pianos increased from 13 units in the first year to 77 units in the most recent year. The firm's owner wants to develop a forecast of piano sales for the coming year. The quarterly sales data follow.
Year | Quarter 1 | Quarter 2 | Quarter 3 | Quarter 4 | Total Yearly Sales |
---|---|---|---|---|---|
1 | 5 | 2 | 1 | 5 | 13 |
2 | 7 | 4 | 4 | 14 | 29 |
3 | 11 | 3 | 5 | 16 | 35 |
4 | 12 | 9 | 7 | 22 | 50 |
5 | 19 | 10 | 13 | 35 | 77 |
(a)
Deseasonalize the data. (Round your answers to four decimal places.)
Year | Quarter | Sales | Adjusted | Deseasonalized |
Seasonal | Sales | |||
Index | ||||
1 | 1 | 5 | 1.3407 | |
1 | 2 | 2 | 0.5998 | |
1 | 3 | 1 | 0.4842 | |
1 | 4 | 5 | 1.5753 | |
2 | 1 | 7 | 1.3407 | |
2 | 2 | 4 | 0.5998 | |
2 | 3 | 4 | 0.4842 | |
2 | 4 | 14 | 1.5753 | |
3 | 1 | 11 | 1.3407 | |
3 | 2 | 3 | 0.5998 | |
3 | 3 | 5 | 0.4842 | |
3 | 4 | 16 | 1.5753 | |
4 | 1 | 12 | 1.3407 | |
4 | 2 | 9 | 0.5998 | |
4 | 3 | 7 | 0.4842 | |
4 | 4 | 22 | 1.5753 | |
5 | 1 | 19 | 1.3407 | |
5 | 2 | 10 | 0.5998 | |
5 | 3 | 13 | 0.4842 | |
5 | 4 | 35 | 1.5753 |
Use the deseasonalized time series to identify the trend. (Let
and
t = 1
denote the time series value in quarter 1 of year 1;
t = 2
denote the time series value in quarter 2 of year 1;
t = 20
denote the time series value in quarter 4 of year 5. Round your numerical values to two decimal places.)Tt =
(b)
Use the results of part (a) to develop a quarterly forecast for next year based on trend. (Round your answers to two decimal places.)
forecast for quarter 1___
forecast for quarter 2____
forecast for quarter 3___
forecast for quarter 4___
(c)
Use the adjusted seasonal indexes given in part (a) to adjust the forecasts developed in part (b) to account for the effect of season. (Round your answers to one decimal place.)
forecast for quarter 1___
forecast for quarter 2 ___
forecast for quarter 3 ___
forecast for quarter 4___
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