OA g=0073² - 7 3331 + 724 889 OB. g-0.073-7.7651 + 724 889 OC. g=0434-7333 + 724 889 OD. g=0073 7333 + 724 889 OC. OD.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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(please solve within 15 minutes I will give thumbs up)
The table summarizes the average number of gallons of fuel consumed per vehicle in a country from 1960 to 2004.
YEAR
AVERAGE GALLONS OF FUEL
CONSUMED PER VEHICLE, 9
1960 1970 1980 1990 1995 2000 2002 2004
674 766 582 526 536 553 561 563
b. Use your graphing calculator to determine and plot the quadratic, cubic, and quartic regression equations for this data. Determine the quadra
regression equation for the data. Choose the correct answer below.
COA. g=007312 - 7.331 + 724 889
OB. g=0.073 -7.7651 + 724 889
OC.
9=0 4341-7.3331 + 724 889
OD. g=0073 7333t + 724 889
Then plot the quadratic regrassion equation for the data on the viewing window (0,45) x[500,800) Choose the correct answer bolow.
O A.
OB.
OC.
Now determine the cubic regression equation for the data Choose the correct answer below
O A. g-0.019 - 1603r + 13.188t + 687 013
০ B, ০ = 0 019 + 1171 + 13 186 + 687.013
OC. g-0 019-1.171 + 13.1881 + 687.013
OD.
g=0.380r -1.171r + 13.1881 + 687 013
Transcribed Image Text:The table summarizes the average number of gallons of fuel consumed per vehicle in a country from 1960 to 2004. YEAR AVERAGE GALLONS OF FUEL CONSUMED PER VEHICLE, 9 1960 1970 1980 1990 1995 2000 2002 2004 674 766 582 526 536 553 561 563 b. Use your graphing calculator to determine and plot the quadratic, cubic, and quartic regression equations for this data. Determine the quadra regression equation for the data. Choose the correct answer below. COA. g=007312 - 7.331 + 724 889 OB. g=0.073 -7.7651 + 724 889 OC. 9=0 4341-7.3331 + 724 889 OD. g=0073 7333t + 724 889 Then plot the quadratic regrassion equation for the data on the viewing window (0,45) x[500,800) Choose the correct answer bolow. O A. OB. OC. Now determine the cubic regression equation for the data Choose the correct answer below O A. g-0.019 - 1603r + 13.188t + 687 013 ০ B, ০ = 0 019 + 1171 + 13 186 + 687.013 OC. g-0 019-1.171 + 13.1881 + 687.013 OD. g=0.380r -1.171r + 13.1881 + 687 013
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