Plot: Predicted vs Actual Response and Residuals vs Predictors?

I have a regression model, and I would like to create two plots to examine its validity.

The first plot is predicted vs actual response plot. I've seen it in the Regression learner apps but not able to see the function used.

The second plot is residuals (predicted - actual response) vs predictor plot. I know one can use the 'plotResiduals (model)' function but the output is residuals vs. predicted values.

Any good suggestions?

[Abel Babu]

Both Predicted Vs Actual Response Plot and Residual vs predictor Plot can be easily plotted by the scatter functions. I don't think there are inbuilt functions to directly get them.

My best guess would be that RegressionLearner app calls the normal code that you would use to plot rather than a specific function call.

[wesleynotwise]

Yeah. Sadly, there isn't any inbuilt functions. I do it manually though, i.e. write the equation and calculate the estimated values, then find the residuals, and make the plots.

Answer 1

[abdallah alsayed]

for i=1:100 %100 is number of sample in x and y

plot([i i],[x(i) y(i)],'color',[0,0,0]+0.5);

hold on

plot(x,'o')

plot(y,'*')

end