The amount of coal used by a small town over several decades is given in the table below. Tons of Coal Year 1940 1950 1960 134.4 1970 111.2 1980 89.4 1990 101.2 2000 174.4 64.6 125 a) Perform regression to find a cubic polynomial that fits the data. Use years since 1940 as your inputs. p(x) = Round all values to 4 decimal places. b) Use the model to estimate the amount of coal that was used in 1965. tons Round to 2 decimal places. c) Use the model to predict the amount of coal that will be used in 2040. tons Round to 2 decimal places.

Advanced Engineering Mathematics
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Chapter2: Second-order Linear Odes
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The amount of coal used by a small town over several
decades is given in the table below.
Year
Tons of
Coal
64.6
125
1940
1950
1960
134.4
1970 111.2
1980
89.4
1990
101.2
2000
174.4
a) Perform regression to find a cubic polynomial that
fits the data. Use years since 1940 as your inputs.
p(x) =
Round all values to 4 decimal places.
b) Use the model to estimate the amount of coal that
was used in 1965.
tons
Round to 2 decimal places.
c) Use the model to predict the amount of coal that
will be used in 2040.
tons
Round to 2 decimal places.
Transcribed Image Text:The amount of coal used by a small town over several decades is given in the table below. Year Tons of Coal 64.6 125 1940 1950 1960 134.4 1970 111.2 1980 89.4 1990 101.2 2000 174.4 a) Perform regression to find a cubic polynomial that fits the data. Use years since 1940 as your inputs. p(x) = Round all values to 4 decimal places. b) Use the model to estimate the amount of coal that was used in 1965. tons Round to 2 decimal places. c) Use the model to predict the amount of coal that will be used in 2040. tons Round to 2 decimal places.
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