Residual Normal Quantiles

Fit Analyses

Residual Normal Quantiles

The normal quantile of the ith ordered residual is computed as

${\Phi}^{-1}( \frac{i-0.375}{n+0.25} )$

where ${\Phi}^{-1}$ is the inverse standard cumulative normal distribution.

If the residuals are normally distributed, the points on the residual normal quantile- quantile plot should lie approximately on a straight line with residual mean as the intercept and residual standard deviation as the slope.

The normal quantiles of the residuals are stored in variables named RN_yname for each response variable, where yname is the response variable name.

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