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the adequacy of the chosen regression model. Remember that there is a residual value for
each data point, and that it is computed as the (signed) difference y
i
yˆ
i
. A positive residual
indicates a data point higher than expected, and a negative residual indicates a point lower
than expected.
A residual is the deviation of an outcome from the predicated mean value for all
subjects with the same value for the explanatory variable.
A plot of all residuals on the y-axis vs. the predicted values on the x-axis, called a residual
vs. fit plot, is a good way to check the linearity and equal variance assumptions. A quantile-
normal plot of all of the residuals is a good way to check the Normality assumption. As
mentioned above, the fixed-x assumption cannot be checked with residual analysis (or any
other data analysis). Serial correlation can be checked with special residual analyses, but is
not visible on the two standard residual plots. The other types of correlated errors are not
detected by standard residual analyses.

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the adequacy of the chosen regression model. Remember that there is a residual value for each data point, and that it is computed as the (signed) difference yi −yˆi. A positive residual indicates a data point higher than expected, and a negative residual indicates a point lower than expected. A residual is the deviation of an outcome from the predicated mean value for all subjects with the same value for the explanatory variable. A plot of all residuals on the y-axis vs. the predicted values on the x-axis, called a residual vs. fit plot, is a good way to check the linearity and equal variance assumptions. A quantilenormal plot of all of the residuals is a good way to check the Normality assumption. As mentioned above, the fixed-x assumption cannot be checked with residual analysis (or any other data analysis). Serial correlation can be checked with special residual analyses, but is not visible on the two standard residual plots. The other types of correlated errors are not detected by standard residual analyses. Name: Description: ...
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