The population (p) of a small community on the outskirts of a city grows rapidly over a 20- year period: t (time) p (population) 10 15 20 100 200 450 950 2000 As an engineer working for a utility company, you must forecast the population 5 years into the future in order to anticipate the demand for power. Use an exponential model and linear regression to make this prediction. Determine r?. Plot the data along with the curve.

Operations Research : Applications and Algorithms
4th Edition
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Wayne L. Winston
Chapter24: Forecasting Models
Section24.4: Winter’s Method: Exponential Smoothing With Seasonality
Problem 15P
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The population (p) of a small community on the outskirts of a city grows rapidly over a 20-
year period:
t (time)
p (population)
10
15
20
100
200
450
950
2000
As an engineer working for a utility company, you must forecast the population 5 years into
the future in order to anticipate the demand for power. Use an exponential model and linear
regression to make this prediction. Determine r2. Plot the data along with the curve.
Transcribed Image Text:The population (p) of a small community on the outskirts of a city grows rapidly over a 20- year period: t (time) p (population) 10 15 20 100 200 450 950 2000 As an engineer working for a utility company, you must forecast the population 5 years into the future in order to anticipate the demand for power. Use an exponential model and linear regression to make this prediction. Determine r2. Plot the data along with the curve.
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