Assessing the appropriateness of the regression line


When assessing the appropriateness of the regression line, it is often helpful to examine a residual plot. A residual plot is a scatterplot of the (a) x values (b) y^ values (c)residuals plotted against the

(a) x values (b) y values (c) y^ values

When examining the residual plot, which of the following may indicate potential problems in your regression?

Check that all apply!

[] A point that is very far above or below a horizontal line at a height of zero.

[] A strong pattern in the residuals

The residual plot may indicate problems with your original model. In that case, you may need to make changes to the model in order for it to be appropriate. What is one cmomon method of adjusting the model so that it is appropriate?

a) Use a different sample of data.

b) Ignore some of the data.

c) Perform a transformation.

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Basic Statistics: Assessing the appropriateness of the regression line
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