Instructions i) ii) E Please use the datasets from A3 folder in the e-learning: US gasoline...
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Instructions i) ii) E Please use the datasets from A3 folder in the e-learning: US gasoline demand 1995-2005.csv Please use the Google Colab notebook/Microsoft Excel to answer this question Answer ALL the questions: a. Identify which forecasting method is best to forecast the gasoline demand in US considering any existing seasonality/demand. b. Discuss why do you think the forecasted method of choice is best to applied. c. Forecast the demand for gasoline for the next 3 years (2006-2008) using the selected forecast method. d. Given the actual data is in the following table, calculate the forecast error and discuss your findings. 2006 Qtr 1 2006 Qtr 2 2006 Qtr 3 2006 Qtr 4 2007 Qtr 1 2007 Qtr 2 2007 Qtr 3 2007 Qtr 4 2008 Qtr 1 2008 Qtr 2 2008 Qtr 3 2008 Qtr 4 116941 121198 123397 121223 119205 122513 123830 120946 118149 120896 120157 116706 Instructions i) ii) E Please use the datasets from A3 folder in the e-learning: US gasoline demand 1995-2005.csv Please use the Google Colab notebook/Microsoft Excel to answer this question Answer ALL the questions: a. Identify which forecasting method is best to forecast the gasoline demand in US considering any existing seasonality/demand. b. Discuss why do you think the forecasted method of choice is best to applied. c. Forecast the demand for gasoline for the next 3 years (2006-2008) using the selected forecast method. d. Given the actual data is in the following table, calculate the forecast error and discuss your findings. 2006 Qtr 1 2006 Qtr 2 2006 Qtr 3 2006 Qtr 4 2007 Qtr 1 2007 Qtr 2 2007 Qtr 3 2007 Qtr 4 2008 Qtr 1 2008 Qtr 2 2008 Qtr 3 2008 Qtr 4 116941 121198 123397 121223 119205 122513 123830 120946 118149 120896 120157 116706
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a The best forecasting method to forecast the gasoline demand in US considering any existing seasonalitydemand would be a seasonal decomposition of ti... View the full answer
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Supply Chain Network Design Applying Optimization and Analytics to the Global Supply Chain
ISBN: 978-0133017373
1st edition
Authors: Michael Watson, Sara Lewis, Peter Cacioppi, Jay Jayaraman
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