Plot of slices through fitted linear regression surface
h = plotSlice(mdl)
plotSlice(mdl) creates a new figure containing a series of plots, each representing a slice through the regression surface predicted by mdl. For each plot, the surface slice is shown as a function of a single predictor variable, with the other predictor variables held constant.
If there are more than eight predictors, plotSlice selects the first five for plotting. Use the Predictors menu to control which predictors are plotted.
The Bounds menu lets you choose between simultaneous or non-simultaneous bounds, and between bounds on the function or bounds on a new observation.
Plot the slices through a fitted linear model.
Load the carsmall data and fit a linear model of the mileage as a function of model year, weight, and weight squared.
load carsmall tbl = table(MPG,Weight); tbl.Year = ordinal(Model_Year); mdl = fitlm(tbl,'MPG ~ Year + Weight^2');
Create a slice plot.
Drag the Weight prediction line to the right and observe the change in the predicted MPG and the response curve for Year.