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These are the values in Irwin’s data set.

(1, 43), (3, 36), (5,22), (6, 25), (8,14)

Irwin determined the equation of a linear regression line, and determined that these are the predicted values.

(1, 44), (3, 35), (5,26), (6, 22), (8,13)

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


These Are The Values In Irwins Data Set 1 43 3 36 522 6 25 814 Irwin Determined The Equation Of A Linear Regression Line And Determined That These Are The Predi class=

Sagot :

The residual points include the difference between the value in Irwin's dataset and the predicted values

How to plot the residuals?

The residual is calculated using:

Residual = Actual points - Predicted points

The actual points are:

(1,43), (3, 36), (5,22), (6, 25), (8,14)

The predicted points are:

(1,44), (3, 35), (5,26), (6, 22), (8,13)

Using the residual formula above, we have the residuals to be:

(x,y) = (1,-1), (3, 1), (5,-4), (6, 3), (8,1)

See attachment for the residual plot

Read more about residuals at:

https://brainly.com/question/1447173

View image MrRoyal