[All Steps] Consider the quarterly sales given in the table below. Quarterly Sales Year Net Sales (millions) 1996 $4,053 1996 5,075 1996 5,159 1996 6,050 1997
Question: Consider the quarterly sales given in the table below.
| Quarterly Sales | |
| Year | Net Sales (millions) |
| 1996 | $4,053 |
| 1996 | 5,075 |
| 1996 | 5,159 |
| 1996 | 6,050 |
| 1997 | 4,213 |
| 1997 | 5,086 |
| 1997 | 5,362 |
| 1997 | 6,256 |
| 1998 | 4,353 |
| 1998 | 5,258 |
| 1998 | 5,544 |
| 1998 | 7,193 |
| 1999 | 5,114 |
| 1999 | 4,982 |
| 1999 | 4,591 |
| 1999 | 5,680 |
| 2000 | 4,191 |
| 2000 | 4,928 |
| 2000 | 4,909 |
| 2000 | 6,410 |
- Draw a time series plot for this data set and describe any trend and seasonal behavior that you see.
- Plot the moving average values on the same graph as the original data. (4 quarters)
- Find the seasonal index for each quarter. Which is generally the best quarter for sales?
- Plot the seasonally adjusted series with the original data.
- Find the regression equation to predict the long-term trend in seasonally adjusted sales for each time period. Does the trend equation show a significant trend over time.
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