Plot residuals of generalized linear regression model

`plotResiduals(`

creates a histogram
plot of the generalized linear regression model (`mdl`

)`mdl`

)
residuals.

`plotResiduals(`

specifies additional options using one or more name-value pair arguments. For
example, you can specify the residual type and the graphical properties of residual
data points.`mdl`

,`plottype`

,`Name,Value`

)

returns graphics objects for the lines or patch in the plot using any of the input
argument combinations in the previous syntaxes. Use `h`

= plotResiduals(___)`h`

to modify
the properties of a specific line or patch after you create the plot. For a list of
properties, see Line Properties and Patch Properties.

The data cursor displays the values of the selected plot point in a data tip (small text box located next to the data point). The data tip includes the

*x*-axis and*y*-axis values for the selected point, along with the observation name or number.

A `GeneralizedLinearModel`

object provides multiple plotting functions.

When verifying a model, use

`plotDiagnostics`

to find questionable data and to understand the effect of each observation. Also, use`plotResiduals`

to analyze the residuals of the model.After fitting a model, use

`plotPartialDependence`

to understand the effect of a particular predictor. Also, use`plotSlice`

to plot slices through the prediction surface.

`GeneralizedLinearModel`

| `plotDiagnostics`

| `plotPartialDependence`

| `plotSlice`