Use the regression model found above to predict the residential retail sale of electricity in 2025. 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

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 92E
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Use the regression model found above to predict the residential retail sale of electricity in
2025. 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
II
F6
F7
F8
F2
F3
F4
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A
F
H
J
K
C
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B
M
Alt
Transcribed Image Text:Use the regression model found above to predict the residential retail sale of electricity in 2025. 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 II F6 F7 F8 F2 F3 F4 W Y A F H J K C V B M Alt
The table below gives the retail sale of electricity (in billions of kilowatt-hours) for the
residential and commercial sectors of the United States.
Residential (billions of kilowatt-hours)
Year
1,192
2000
1,276
2003
2006
1,400
2009
1,420
2012
1,402
2015
1,390
Let x 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.
II
F1
F2
F3
F4
F5
F6
F7
FB
F9
@
23
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4.
6.
8.
W
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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. Residential (billions of kilowatt-hours) Year 1,192 2000 1,276 2003 2006 1,400 2009 1,420 2012 1,402 2015 1,390 Let x 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. II F1 F2 F3 F4 F5 F6 F7 FB F9 @ 23 % 4. 6. 8. W R Y U S H 10 5
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