Solution-Us energy administration, Open the file

Us energy administration

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Reference no: EM13843358

Open the file Coal_Consumption containing data from the U.S. Energy Administration.

a. Make a scatter graph of the data with a trendline. Copy and paste your graph here.

b. Use your model (the trendline equation) to predict coal consumption in the year 2017. How confident are you in this prediction? Why?

c. According to your model, when will the coal consumption be 1600 short tons? How confident are you in the above prediction?

d. Beside the R-squared value and the time gap, what are some social, political, or physical factors that could affect the accuracy of these prediction? Do you think these factors will lead to an increase or a decrease in coal consumption in the future?

Year	Coal Consumption (in short tons)
1970	523.23
1971	501.57
1972	524.26
1973	562.58
1974	558.40
1975	562.64
1976	603.79
1977	625.29
1978	625.22
1979	680.52
1980	702.73
1981	732.63
1982	706.91
1983	736.67
1984	791.30
1985	818.05
1986	804.23
1987	836.94
1988	883.64
1989	895.00
1990	904.50
1991	899.23
1992	907.65
1993	944.08
1994	951.29
1995	962.10
1996	1006.32
1997	1029.54
1998	1037.10
1999	1038.65
2000	1084.09
2001	1060.15
2002	1066.35
2003	1094.86
2004	1107.25
2005	1125.98
2006	1112.29
2007	1128.00
2008	1120.55
2009	997.48
2010	1048.51
2011	1002.95
2012	889.19
2013	924.83

Reference no: EM13843358

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Us energy administration

Reference no: EM13843358

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