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
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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fda8c5e25-0a1b-41c4-bd54-1504c508d2e8%2Fa15c33b5-16c8-4274-9a6e-752667803f65%2Fq7y54h8_processed.png&w=3840&q=75)
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.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fda8c5e25-0a1b-41c4-bd54-1504c508d2e8%2Fa15c33b5-16c8-4274-9a6e-752667803f65%2F1lnvbwrt_processed.png&w=3840&q=75)
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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