How to draw an SVM regression plot

As shown in the figure, I would like to draw a plot that includes the lines of the margin, support vector, and seperating hyperplane of the model.

However, even if I get a model using fitrsvm, I can't use the information in the support vector.

I need your help.

x = normrnd(10,1,1000,1);
y = x*3 + normrnd(10,1,1000,1);
hold on

Mdl = fitrsvm(x,y)  

Mdl = 
  RegressionSVM
             ResponseName: 'Y'
    CategoricalPredictors: []
        ResponseTransform: 'none'
                    Alpha: [768×1 double]
                     Bias: 10.6836
         KernelParameters: [1×1 struct]
          NumObservations: 1000
           BoxConstraints: [1000×1 double]
          ConvergenceInfo: [1×1 struct]
          IsSupportVector: [1000×1 logical]
                   Solver: 'SMO'


  Properties, Methods

 figure(1);scatter(x, y); 

It's an example of a hand-drawn drawing. I want to draw something like this.

Answer 1

[Drew]

The doc page

https://www.mathworks.com/help/stats/support-vector-machines-for-binary-classification.html

has several examples where the fitcsvm support vectors are circled in a gscatter plot, and the decision boundary is drawn using contour.