This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: By following the sequence of commands recorded in this log, you will be able to fit a trend to the monthly data on U.S. Retail Sales. Using one of the facilities of the program, you will also be able to extract the seasonal component from the data. . IDEOLOG.PAS: Ideal Filters and their Approximations 1. Page Parameters 1 SPECIFY THE PAGE PARAMETERS Do you want to output in Postscript Y/N? N Specify the frame surrounding the graph. 5cm x 3cm <= width x height <= 13.5cm x 9.5cm. For two diagrams per page use 9cm times 6cm For three diagrams per page use 9cm times 3.75cm Specify the width 99 Specify the height 99 2. Get the Data and/or Transform the Data 2 1. Read the Data 1 Name the new data file = salesus.txt DECIDE! Do you wish to construct a univariate series By joining the lines? Y/N Y READ A DATA FILE There are 144 data points What is the interval between observations? (m) Monthly m NAME THE DATA By default the data will be described as <<an unidentified data series>> Do you wish to rename the data Y/N?...
View Full Document
- Spring '12
- High-pass filter, Band-pass filter, Low-pass filter, unidentified data series