Develop a linear regression model: 1 2 3 4 5 6 7 8 9 10 11 12
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Develop a linear regression model:
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 A Year 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 B C Public 3 year moving average 11.38 11.19 11.13 11.09 26.28 11.12 26.0166666666667 11.2 25.9266666666667 11.14 25.9433333333333 11.38 26.0333333333333 11.75 26.1333333333333 12.23 26.4366666666667 12.75 27.2066666666667 12.86 28.23 12.98 29.2666666666667 13.02 29.9366666666667 13.18 30.18 13.49 30.3933333333333 13.97 30.6966666666667 14.81 31.3266666666667 15.14 32.3966666666667 15.12 33.8266666666667 14.88 34.99 14.75 35.22 14.66 34.9166666666667 15.57 34.5166666666667 14.84 34.6 Year 1995 to 2016 those are the following forecasts D E 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 A Year 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 B C Public 3 year moving average 11.38 11.19 11.13 11.09 26.28 11.12 26.0166666666667 11.2 25.9266666666667 11.14 25.9433333333333 11.38 26.0333333333333 11.75 26.1333333333333 12.23 26.4366666666667 12.75 27.2066666666667 12.86 28.23 12.98 29.2666666666667 13.02 29.9366666666667 13.18 30.18 13.49 30.3933333333333 13.97 30.6966666666667 14.81 31.3266666666667 15.14 32.3966666666667 15.12 33.8266666666667 14.88 34.99 14.75 35.22 14.66 34.9166666666667 15.57 34.5166666666667 14.84 34.6 Year 1995 to 2016 those are the following forecasts D E
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