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How do you create a residual plot that shows whether a linear model is an appropriate fit for the data?

1 Answer

4 votes

Answer: To work out a residual, you must take the predicted value and subtract it from the measured value.

Explanation:

A residual plot is a graph that shows the residuals on the vertical axis and the independent variable on the horizontal axis. To find a residual you must take the predicted value and subtract it from the measured value.

Its values should be equally and randomly spaced around the horizontal axis. If the points in a residual plot are randomly dispersed around the horizontal axis, a linear regression model is appropriate for the data; otherwise, a non linear model is more appropriate.

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User Marc Bernier
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