The table shOws worldwide wind energy generating capacity E, In megawatts, over time. Year 1980 1985 1990 1995 1997 1999 2000 2001 2002 2003 2004 wind energy 10 1,020 1,930 4,820 7,640 13,840 18,450 24,930 32,040 40,300 47,910 (a) Find an exponential function that best fits the data, where t is years since 1980. (Round all numerical data to three decimal places. E (b) What is the doubling time for this exponential function, In years? (Round your answer to two decimal places.) yr (c) Predict the total wind energy generating capacity in 2019 in megawatts. (Round your answer to the nearest Integer.) mw

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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The table shows worldwide wind energy generating capacity E, in megawatts, over time,
Year
1980
1985
1990
1995
1997
1999
2000
2001
2002
2003
2004
wind energy
10
1,020
1,930
4,820
7,640
13,840
18,450
40,300
24,930
32,040
47,910
(a) Find an exponential function that best fits the data, where t is years since 1980. (Round all numerical data to three decimal places.)
E =
(b) What is the doubling time for this exponential function, in years? (Round your answer to two decimal places.)
yr
(c) Predict the total wind energy generating capacity in 2019 in megawatts. (Round your answer to the nearest Integer.)
mw
Transcribed Image Text:The table shows worldwide wind energy generating capacity E, in megawatts, over time, Year 1980 1985 1990 1995 1997 1999 2000 2001 2002 2003 2004 wind energy 10 1,020 1,930 4,820 7,640 13,840 18,450 40,300 24,930 32,040 47,910 (a) Find an exponential function that best fits the data, where t is years since 1980. (Round all numerical data to three decimal places.) E = (b) What is the doubling time for this exponential function, in years? (Round your answer to two decimal places.) yr (c) Predict the total wind energy generating capacity in 2019 in megawatts. (Round your answer to the nearest Integer.) mw
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