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Mathematics 6 Online
OpenStudy (anonymous):

I NEEEDDD HELP!

OpenStudy (anonymous):

You research the cost of a gallon of gasoline over several years to look for a trend. The table shows your data. What is a line of best fit for the data? Based upon these prices, how much would you expect to pay in 2026? Year 1980 1984 1988 1992 1996 2000 2004 2008 2012 Price per Gallon $1.25 $1.27 $1.05 $1.28 $1.43 $1.68 $2.11 $3.72 $3.99 (1 point)y = 0.347x + 0.856; $9.88 y = .087x – 171.26; $5.01 y = 0.134x + 1.25; $7.41 y = 0.087x + 0.587; $4.59

OpenStudy (anonymous):

hellp someone!

OpenStudy (anonymous):

@tomo ??? @megakiller7

OpenStudy (anonymous):

try substituting

OpenStudy (anonymous):

by using y = mx+b you assume that it has a linear fit. therefore, you could plug the numbers into two columns of excel and do a linear regression.

OpenStudy (anonymous):

Still confused!

jimthompson5910 (jim_thompson5910):

use this linear regression calculator (I'm assuming you don't have excel) http://easycalculation.com/statistics/regression.php to find the line of best fit

OpenStudy (anonymous):

is it the third option?

OpenStudy (anonymous):

ANYONE!!! PLEASE!

jimthompson5910 (jim_thompson5910):

did you use the calculator?

OpenStudy (anonymous):

I had tried to solve it before i posted and this is what i thought it was... I want to make sure

jimthompson5910 (jim_thompson5910):

ok what did you get

OpenStudy (anonymous):

the third option

OpenStudy (anonymous):

did u get that

OpenStudy (anonymous):

0.087x-171.26

jimthompson5910 (jim_thompson5910):

no choice C is not correct

OpenStudy (anonymous):

is it B as @megakiller7 said

jimthompson5910 (jim_thompson5910):

yep

OpenStudy (anonymous):

thanks!

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