Someone ! : )

these are the values in rita’s data set.

(1, 19), (2, 33), (4,45), (5, 57), (6,71.5)

rita determines the equation of a linear regression line to be yˆ=9.7x+10.3 .

use the point tool to graph the residual plot for the data set.

round residuals to the nearest unit as needed.

We have 
the values in Rita’s data set. are
(1, 19), (2, 33), (4,45), (5, 57), (6,71.5)
yˆ=9.7x+10.3--------> the equation of a linear regression line

we know 

the residual, is when you subtract the predicted value from the observed value.
Residual = [Observed – Predicted]


Part 1) (1, 19)
x=1
observed value=19
predicted value=9.7x+10.3------> 9.7*1+10.3------> 20
Residual = [19-20]=-1
point (1,-1)

Part 2) (2, 33)
x=2
observed value=33
predicted value=9.7x+10.3------> 9.7*2+10.3------> 29.7
Residual = [33-29.7]=3.3
point (2,3.3)

Part 3) (4, 45)
x=4
observed value=45
predicted value=9.7x+10.3------> 9.7*4+10.3------> 49.1
Residual = [45-49.1]=-4.1
point (4,-4.1)

Part 4) (5, 57)
x=5
observed value=57
predicted value=9.7x+10.3------> 9.7*5+10.3------> 58.8
Residual = [57-58.8]=-1.8
point (5,-1.8)

Part 5) (6, 71.5)
x=6
observed value=71.5
predicted value=9.7x+10.3------> 9.7*6+10.3------> 68.5
Residual = [71.5-68.5]=2.5
point (6,2.5)

Part 6)
graph the residual plot for the data set.
Round residuals to the nearest unit

the residual points are
(1,-1)
(2,3)
(4,-4)
(5,-2)
(6,3)

see the attached figure

I’m going to infer you said parallel.solve for yy= -1/2x+7/4lines that are parallel have the same slope, different y intercept.so we know m is -1/2then from there solve for y intercept.