D Question 5 5 pts The Research and Innovative Technology Administration's Bureau of Transportation Statistics conducted...

 

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D Question 5 5 pts 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 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. The report analyzes monthly passenger movement data between January 1990 and May 2004. 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. What type of study was performed? Explanatory Descriptive Prescriptive Predictive Question 6 5 pts Two different models were fit to the same time series. The first 100 time periods were used for the training set and the last 12 periods were treated as a hold-out set. Assume that both models make sense practically and fit the data pretty well. The RMSE values for each of the models is given: Training Set Validation Set Model A 543 20 Model B 869 14 Which model appears more useful for explaining the different components of this time series and which model appears to be more useful for forecasting purposes? The RMSE is much lower than for B, based on the training data (which are the bulk of the data). The validation error, an estimate of predictive accuracy, is lower for model B than for model A. The RMSE is much lower than for A, based on the training data (which are the bulk of the data). The validation error, an estimate of predictive accuracy, is lower for model A than for model B. The RMSE is much lower than for B, based on the training data (which are the bulk of the data). The validation error, an estimate of predictive accuracy, is lower for model A than for model B. The RMSE is much higher than for B, based on the training data (which are the bulk of the data). The validation error, an estimate of predictive accuracy, is lower for model B than for model A. D Question 7 Modeling time series is done for what types of studies: Descriptive and Predictive Exploratory and Descriptive Predictive and Exploratory Prescriptive and Predictive 5 pts D Question 5 5 pts 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 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. The report analyzes monthly passenger movement data between January 1990 and May 2004. 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. What type of study was performed? Explanatory Descriptive Prescriptive Predictive Question 6 5 pts Two different models were fit to the same time series. The first 100 time periods were used for the training set and the last 12 periods were treated as a hold-out set. Assume that both models make sense practically and fit the data pretty well. The RMSE values for each of the models is given: Training Set Validation Set Model A 543 20 Model B 869 14 Which model appears more useful for explaining the different components of this time series and which model appears to be more useful for forecasting purposes? The RMSE is much lower than for B, based on the training data (which are the bulk of the data). The validation error, an estimate of predictive accuracy, is lower for model B than for model A. The RMSE is much lower than for A, based on the training data (which are the bulk of the data). The validation error, an estimate of predictive accuracy, is lower for model A than for model B. The RMSE is much lower than for B, based on the training data (which are the bulk of the data). The validation error, an estimate of predictive accuracy, is lower for model A than for model B. The RMSE is much higher than for B, based on the training data (which are the bulk of the data). The validation error, an estimate of predictive accuracy, is lower for model B than for model A. D Question 7 Modeling time series is done for what types of studies: Descriptive and Predictive Exploratory and Descriptive Predictive and Exploratory Prescriptive and Predictive 5 pts