Asuss Airline would like to forecast the number of passengers who will fly from Singapore to Shanghai in 2018. The data is given in Table 3-1. The consultant first developed a time series regression model, using time as the independent variable and the number of passengers as the dependent variable to fit the data. The fitted line is shown in Figure 3-1, and the autocorrelation function for the residuals obtained from the regression model is shown in Figure 3-2. Table 3-1: Number of passengers flying from Singapore to Shanghai Number of passengers (1,000) Number of passengers (1,000) Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Passengers 160 100 22.8 26.1 29.4 34.5 37.6 40.3 39.5 46.3 45.8 48.0 54.6 61.9 Year 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 15 Figure 3-1: Fitted line plot Ha 79.9 96.3 109.0 116.0 117.2 124.9 136.6 144.8 147.9 150.1 151.9
Asuss Airline would like to forecast the number of passengers who will fly from Singapore to Shanghai in 2018. The data is given in Table 3-1. The consultant first developed a time series regression model, using time as the independent variable and the number of passengers as the dependent variable to fit the data. The fitted line is shown in Figure 3-1, and the autocorrelation function for the residuals obtained from the regression model is shown in Figure 3-2. Table 3-1: Number of passengers flying from Singapore to Shanghai Number of passengers (1,000) Number of passengers (1,000) Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Passengers 160 100 22.8 26.1 29.4 34.5 37.6 40.3 39.5 46.3 45.8 48.0 54.6 61.9 Year 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 15 Figure 3-1: Fitted line plot Ha 79.9 96.3 109.0 116.0 117.2 124.9 136.6 144.8 147.9 150.1 151.9
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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