What is the general​ relationship, if​ any, between the sample size and the margin of​ error? A. Increasing the sample size by a factor M results in the margin of error decreasing by a factor of . B. Increasing the sample size by a factor M results in the margin of error decreasing by a factor of . C. Increasing the sample size by a factor M results in the margin of error decreasing by a factor of . D. There is no relationship between the sample size and the margin of error.

no association

step-by-step explanation:

if you have eyes and you can use them efficiently you can see that it just looks like random dots like do a line of best fit and like they're so spread out it's such a weak association you might as well consider it nonexistent

answer: the four apples you took away.

step-by-step explanation:

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.