Use this quadratic model above to answer this question. Predict the residential retail sale of electricity in 2028. Round to the nearest billion of kilowatt-hours. NOTE: You may get the wrong answer if you do not use the quadratic model with coefficients rounded as described above. billion of kilowatt-hours

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Use this quadratic model above to answer this question.
Predict the residential retail sale of electricity in 2028. Round to the nearest billion of
kilowatt-hours. NOTE: You may get the wrong answer if you do not use the quadratic model
with coefficients rounded as described above.
billion of kilowatt-hours
Transcribed Image Text:Use this quadratic model above to answer this question. Predict the residential retail sale of electricity in 2028. Round to the nearest billion of kilowatt-hours. NOTE: You may get the wrong answer if you do not use the quadratic model with coefficients rounded as described above. billion of kilowatt-hours
The table below gives the retail sale of electricity (in billions of kilowatt-hours) for the
residential and commercial sectors of the United States.
Year
2000
2003
2006
2009
2012
2015
Residential (billions of kilowatt-hours)
1,192
1,276
1,400
1,420
1,402
1,390
=
Let a represent time (in years) with x 0 corresponding to 2000, and let y represent the
corresponding residential sales. Find the quadratic regression equation for the data
y = R(x) = ax² +bx+c
with a rounded to the nearest hundredth (2 decimal places), b rounded to the nearest tenth (1
decimal place), and c rounded to the nearest integer. (See the Regression page in the Getting
Started module for ways of computing a regression model.)
Transcribed Image Text:The table below gives the retail sale of electricity (in billions of kilowatt-hours) for the residential and commercial sectors of the United States. Year 2000 2003 2006 2009 2012 2015 Residential (billions of kilowatt-hours) 1,192 1,276 1,400 1,420 1,402 1,390 = Let a represent time (in years) with x 0 corresponding to 2000, and let y represent the corresponding residential sales. Find the quadratic regression equation for the data y = R(x) = ax² +bx+c with a rounded to the nearest hundredth (2 decimal places), b rounded to the nearest tenth (1 decimal place), and c rounded to the nearest integer. (See the Regression page in the Getting Started module for ways of computing a regression model.)
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