The General Aviation Manufacturers Association has reported annual flying hours and fuel consumption for airplanes with a single, piston-driven engine as listedin file XR15057. Data are in millions of flying hours and millions of gallons of fuel, respectively. Determine the linear regression equation describing fuel consumption as a function of flying hours, then identify and interpret the slope, the coefficient of correlation, and the coefficient of determination. At the 0.05 level of significance, could the population slope and the population coefficient of correlation be zero? Determine the 95% confidence intervalfor the population slope.(you can see file XR15057 from photo)

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter1: Fundamental Concepts Of Algebra
Section1.4: Fractional Expressions
Problem 83E
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  1. The General Aviation Manufacturers Association has reported annual flying hours and fuel consumption for airplanes with a single, piston-driven engine as listedin file XR15057. Data are in millions of flying hours and millions of gallons of fuel, respectively. Determine the linear regression equation describing fuel consumption as a function of flying hours, then identify and interpret the slope, the coefficient of correlation, and the coefficient of determination. At the 0.05 level of significance, could the population slope and the population coefficient of correlation be zero? Determine the 95% confidence intervalfor the population slope.(you can see file XR15057 from photo)
xr15057 - Salt okunur
Salt Okunur - Bu eski bir dosya biçimi. ..
fx
A
В
C
Year
Hours
Gallons
2
1992
18400000
199100000
3
1993
17000000
184200000
4
1994
16400000
177200000
1995
17800000
192600000
1996
17600000
188400000
7
1997
18300000
196300000
8
9.
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
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Transcribed Image Text:xr15057 - Salt okunur Salt Okunur - Bu eski bir dosya biçimi. .. fx A В C Year Hours Gallons 2 1992 18400000 199100000 3 1993 17000000 184200000 4 1994 16400000 177200000 1995 17800000 192600000 1996 17600000 188400000 7 1997 18300000 196300000 8 9. 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 Sheet1 Sheet2 Shee + >
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