The residual plot for a data set is shown. based on the residual plot, which statement best explains whether the regression line is a good model for the data set and why? a. the regression line is not a good model because some residuals are negative. b. the regression line is a good model because the points in the residual plot are close to the x-axis. c. the regression line is a good model because there is a pattern in the residuals. d. the regression line is not a good model because the points in the residual plot form a curve.

1.4

2.3

step-by-step explanation:

the formula for the constant of variation is

y= kx

divide each side by x

y/x =kx/x

y/x =k

we know a and y

1.   y/x = k

4/1 =4

check the other values to make sure they are the same

8/2 = 4   12/3 =4   and 16/4 =4  

the constant of variation is 4

2.   y/x = k

3/1 =3

check the other values to make sure they are the same

6/2 = 3   9/3 =3   and 12/4 =3  

the constant of variation is 3

r(0,90)(x,y) . t(-5,0)

last option

step-by-step explanation:

∆def to ∆d"e"f"

- rotate 90 counterclockwise degrees

- then translated 5 to the left (x --> x - 5)

answer is the last option