Reference no: EM131925044
Problem
Impact of September 11 on Air Travel in the United States. The Research and Innovative Technology Administration's Bureau of Transportation Statistics conducted a study to evaluate the impact of the September 11, 2001 terrorist attack on US transportation. The 2006 study report and the data can be found at https://goo.gl/w2lJPV. The goal of the study was stated as follows:
The purpose of this study is to provide a greater understanding of the passenger travel behavior patterns of persons making long distance trips before and after 9/11.
And after 9/11. The report analyzes monthly passenger movement data between January 1990 and May 2004. Data on three monthly time series are given in file Sept11Travel.csv for this period:
(1) Actual airline revenue passenger miles (Air),
(2) Rail passenger miles (Rail), and
(3) Vehicle miles traveled (Car).
In order to assess the impact of September 11, BTS took the following approach: using data before September 11, they forecasted future data (under the assumption of no terrorist attack). Then, they compared the forecasted series with the actual data to assess the impact of the event. Our first step, therefore, is to split each of the time series into two parts: pre- and post September 11. We now concentrate only on the earlier time series.
a. Is the goal of this study descriptive or predictive?
b. Plot each of the three pre-event time series (Air, Rail, Car).
i. What time series components appear from the plot?
ii. What type of trend appears? Change the scale of the series, add trendlines and suppress seasonality to better visualize the trend pattern.
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