If the following data were linearized using logarithms what would be the equations of the regression line? Round the slope and y-intercept of the regression line to three places.
X = (1,2,3,4,5)
Y= (13,55,349,2407,16,813)
A. log(y) = -0.786 + 0.241
B. log(y) = 0.786 + 0.241
C. log(y) = 0.241x + 0.786
D. log(y) = -0.241x + 0.786

answer: no

step-by-step explanation:

18.8cm hope i at all

step-by-step explanation:

(x) - (y) = (1 + 4i)

system of linear equation

step-by-step explanation:

as given in the data

a= 20 , b= -12

let us suppose that it is a straight line equation

now we know the formula for the system of linear equation

b= ma + c )

here m is slope of a straight line which is equal to formula

m=   (ii)

and here c is a constant

now putting the value of a and b in equation (ii)

m=

m=

putting the value of a,b and m in equation (i) gives us

-12 = + c

-12=-12 + c

adding 12 to both sides

-12 +12 = -12 +12 +c

0 =c

or c=0

as the value of the constant is zero which gives us that it is a linear equation and this order pair satisfies the system of linear equations.