PLEASE HELP W AP STATS QUIZ!! Two measures, x and y, were taken on 20 subjects. Two regressions were performed and resulted in the following residual plots. Which of the following conclusions is best supported by the evidence above?

Regression 1 is a better fit because there appears to be a linear relationship between x and y.
Regression 2 is a better fit because there appears to be a linear relationship between x and y.
Regression 1 is a better fit because there appears to be a nonlinear relationship between x and y.
Regression 2 is a better fit because there appears to be a nonlinear relationship between x and y.
There is a positive correlation between x and y.

(1, –1), (16, –4), (36, –6)

step-by-step explanation:

given that the function is

this can also be written as

we have to graph this function and check which list of points lie on the graph

see attachment for graph:

we find that the points lying are (1,-1) (16,-4) and (36,-6)

since square root is there we find that x can only be posiitve but y can be since square root both positive and negative.

false

step-by-step explanation:

the reason i say this is because for a certain length of sides you can pick any two and the length is wither equal or greater than the third side and in this case it's not.

3 + 5 = 8

8 is smaller than 9 which is the third side.

hope this : )

1/2(2*4)=6 $$- agahajakanajak

abby has a greater debt becasue she owea 5 more then alan does