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.
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
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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