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Instructions: The following is the recorded earthquakes on South Carolina from August, 2016 to February, 2017. Use the data to find the residuals. Then draw a residual plot by hand. Use the residual plot to determine if the linear model is the best regression model for this data.


Magnitude Depth (km. )

[Table]

1. 7 2. 9

1. 1 0. 8

1. 4 1. 9

0. 7 3. 2

0. 8 4. 3

1. 9 4

1. 7 6. 3

1. 9 6. 9

1. 9 0. 9

1. 1 2

Source: USGS


x Residual (Round to nearest tenth)

1. 7 Answer

1. 1 Answer

1. 4 Answer

0. 7 Answer

0. 8 Answer

1. 9 Answer

1. 7 Answer

1. 9 Answer

1. 9 Answer

1. 1 Answer

Respuesta :

Answer:

1.7 = -0.7

1.1 = -2.1

1.4 = -1.4

Unsure about 0.7

0.8 = 1.7

1.9 (unsure about both)

1.1 = -0.9

Step-by-step explanation:

Hope this helps :)))

The regression line is not a good model because the residuals are not randomly distributed.

What is the residual plot?

For a residual plot to represent a good model, the points on the residual plot must be randomly distributed across the coordinates.

From a regression, the residual is the difference between the observed values and the predicted values.  

Using the graph, we can see that the points that follow a pattern (or curve) regression line is not a good model because the residuals are not randomly distributed.

Read more about residual plots at:

brainly.com/question/16180255

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