Question

PLEASE HELP! 100 POINTS AND BRAINLIEST!! I’m really stuck on this so please help if you can!
E) Calculate the residuals for your scatterplot in step 2d (image attached below)
F) create a residual plot for your data

I’LL VOTE 5 STARS TOO!

Answer 1

Answer:

In the simplest meaning, you have:

Residual (e) = Observed value (y) - Predicted value (y')

Here, observed value y has been provided in table.

The predict value y' is calculated based on the linear regression model shown in your picture: y = 0.161x + 0.748, by substitute x into this model, you obtain the predict value y'.

x = 1.11, 18, 21.9, 18, 16.7, 20, 15.5, 19.5

=> Corresponding y' would be:

y' = 0.93, 3.65, 4.27, 3.65, 3.44, 3.97, 3.24, 3.89

From the table, you have corresponding observed value y:

y = 0.7, 4, 3.69, 3.8, 3.21, 4, 3.92, 3.77

=> Subtract y to y', you obtain the corresponding residual e:

e = -0.23, 0.35, -0.58, 0.15, -0.23, 0.03, -0.68, -0.12

Plot vector e on y axis, and vector x on x-axis respectively, you got the residual plot

Hope this helps!

:)

Answer 2

Answer:

E) -0.23, 0.35, -0.58, 0.15, -0.23, 0.03, -0.68, -0.12

F) on the horizontal axis, take the x values and on the vertical axis, take residuals

Step-by-step explanation:

Given:

y = 0.7, 4, 3.69, 3.8, 3.21, 4, 3.92, 3.77

Using the regression equation:

y' = 0.93, 3.65, 4.27, 3.65, 3.44, 3.97, 3.24, 3.89

Residuals: y - y'

-0.23, 0.35, -0.58, 0.15, -0.23, 0.03, -0.68, -0.12