Electricity Consumption 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.)

Electricity Consumption 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.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Predict the residential retail sale of electricity in 2021. 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

Electricity Consumption
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
x
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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