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These are the values in Ariel’s data set. (1, 67), (3, 88), (5,97), (6, 101), (8, 115) Ariel determines the equation of a linear regression line to be yˆ=6.5x+63.8 . Use the point tool to graph the residual plot for the data set. Round residuals to the nearest unit as needed.

These are the values in Ariel’s data set. (1, 67), (3, 88), (5,97), (6, 101), (8, 115) Ariel-example-1

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Answer:

Correct answers below. :)

Explanation:

Hope this helps! Have a good day!

These are the values in Ariel’s data set. (1, 67), (3, 88), (5,97), (6, 101), (8, 115) Ariel-example-1
These are the values in Ariel’s data set. (1, 67), (3, 88), (5,97), (6, 101), (8, 115) Ariel-example-2
User StronglyTyped
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Answers: You will have to plot the following values (3.3, -4.7, -0.7, 1.8, 0.8)

A residual is the difference between the predicted value and the actual value. You are given an equation that will make the predictions for you.

Input in the first number of your pairs to find the predicted output. Then, subtract that from the actual value.

Here is the work for the first point:

6.5(1) + 63.8 = 70.3

70.3 - 67 = 3.3

The residual at x = 1 is 3.3.

User Estn
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