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a. Plot the Year vs Accidents. b. You should notice an obvious pattern in the data, choose a new starting year and replot Year vs
a. Plot the Year ‘vs’ Accidents.
b. You should notice an obvious pattern in the data, choose a new starting year and replot Year ‘vs’ Accidents.
c. Fit a trendline to the accident data, Hint. Start the first year (e.g. 2000) at 1, second year at 2. This will give you a nicer equation to deal with.
d . Use the equation of the trendline to predict the accidents for the range 2019-2040
e. Does this make sense? What does it tell you about the trendline? Consider when you should be careful about making predictions.
Year Accidents 1926 1930 178,000 1940 1941 1950 196,000 1960 341,000 1966 1970 356,000 1980 323,000 1990 336,000 1997 324,000 1998 322,000 1999 317,000 2000 317,000 2001 310,000 299,000 287,000 2002 2003 2004 278,000 2005 268,000 2006 255,000 2007 245,000 2008 228,000 2009 222,146 2010 206,798 2011 203,950 2012 193,969 2013 181,957 2014 194,477 2015 186,209 2016 179,592 2017 170,993 2018 160,378
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