Using the DJIA data and exponential smoothing with trend adjustment, forecast the opening DJIA value for 2014. Use a = 0.8 and b = 0.2. Compare the MSE for this technique with the MSE for the trend line. YEAR DIJA FORECAST ERROR SQUARED ERROR 2016 14511.28647 2015 14113.91955 2014 13716.55263 2013 13104 13319.18571 -215.186 46304.89163 2012 12392 12921.8188 -529.819 280707.9576 2011 11577 12524.45188 -947.452 897665.0643 2010 10431 12127.08496 -1696.08 2876704.2 2009 8772 11729.71805 -2957.72 8748096.034 2008 13262 11332.35113 1929.649 3723544.77 2007 12460 10934.98421 1525.016 2325673.158 2006 10718 10537.61729 180.3827 32537.9209 2005 10784 10140.25038 643.7496 414413.5785 2004 10453 9742.883459 710.1165 504265.5023 2003 8342 9345.516541 -1003.52 1007045.449 2002 10022 8948.149624 1073.85 1153154.63 2001 10791 8550.782707 2240.217 5018573.521 2000 11502 8153.415789 3348.584 11213016.21 1999 9213 7756.048872 1456.951 2122706.589 1998 7908 7358.681955 549.318 301750.3147 1997 6448 6961.315038 -513.315 263492.3278 1996 5117 6563.94812 -1446.95 2093658.863 1995 3834 6166.581203 -2332.58 5440935.069 1994 3754 5769.214286 -2015.21 4061088.617 MSE 2626266.734 SLOPE 397.36692 INTERCEPT -786580.4
Using the DJIA data and exponential smoothing with trend adjustment, forecast the opening DJIA value for 2014. Use a = 0.8 and b = 0.2. Compare the MSE for this technique with the MSE for the trend line. YEAR DIJA FORECAST ERROR SQUARED ERROR 2016 14511.28647 2015 14113.91955 2014 13716.55263 2013 13104 13319.18571 -215.186 46304.89163 2012 12392 12921.8188 -529.819 280707.9576 2011 11577 12524.45188 -947.452 897665.0643 2010 10431 12127.08496 -1696.08 2876704.2 2009 8772 11729.71805 -2957.72 8748096.034 2008 13262 11332.35113 1929.649 3723544.77 2007 12460 10934.98421 1525.016 2325673.158 2006 10718 10537.61729 180.3827 32537.9209 2005 10784 10140.25038 643.7496 414413.5785 2004 10453 9742.883459 710.1165 504265.5023 2003 8342 9345.516541 -1003.52 1007045.449 2002 10022 8948.149624 1073.85 1153154.63 2001 10791 8550.782707 2240.217 5018573.521 2000 11502 8153.415789 3348.584 11213016.21 1999 9213 7756.048872 1456.951 2122706.589 1998 7908 7358.681955 549.318 301750.3147 1997 6448 6961.315038 -513.315 263492.3278 1996 5117 6563.94812 -1446.95 2093658.863 1995 3834 6166.581203 -2332.58 5440935.069 1994 3754 5769.214286 -2015.21 4061088.617 MSE 2626266.734 SLOPE 397.36692 INTERCEPT -786580.4
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Using the DJIA data and exponential smoothing with trend adjustment, forecast the opening DJIA value for 2014. Use a = 0.8 and b = 0.2. Compare the MSE for this technique with the MSE for the trend line.
YEAR | DIJA | FORECAST | ERROR | SQUARED ERROR |
2016 | 14511.28647 | |||
2015 | 14113.91955 | |||
2014 | 13716.55263 | |||
2013 | 13104 | 13319.18571 | -215.186 | 46304.89163 |
2012 | 12392 | 12921.8188 | -529.819 | 280707.9576 |
2011 | 11577 | 12524.45188 | -947.452 | 897665.0643 |
2010 | 10431 | 12127.08496 | -1696.08 | 2876704.2 |
2009 | 8772 | 11729.71805 | -2957.72 | 8748096.034 |
2008 | 13262 | 11332.35113 | 1929.649 | 3723544.77 |
2007 | 12460 | 10934.98421 | 1525.016 | 2325673.158 |
2006 | 10718 | 10537.61729 | 180.3827 | 32537.9209 |
2005 | 10784 | 10140.25038 | 643.7496 | 414413.5785 |
2004 | 10453 | 9742.883459 | 710.1165 | 504265.5023 |
2003 | 8342 | 9345.516541 | -1003.52 | 1007045.449 |
2002 | 10022 | 8948.149624 | 1073.85 | 1153154.63 |
2001 | 10791 | 8550.782707 | 2240.217 | 5018573.521 |
2000 | 11502 | 8153.415789 | 3348.584 | 11213016.21 |
1999 | 9213 | 7756.048872 | 1456.951 | 2122706.589 |
1998 | 7908 | 7358.681955 | 549.318 | 301750.3147 |
1997 | 6448 | 6961.315038 | -513.315 | 263492.3278 |
1996 | 5117 | 6563.94812 | -1446.95 | 2093658.863 |
1995 | 3834 | 6166.581203 | -2332.58 | 5440935.069 |
1994 | 3754 | 5769.214286 | -2015.21 | 4061088.617 |
MSE | 2626266.734 | |||
SLOPE | 397.36692 | |||
INTERCEPT | -786580.4 |
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