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    %% Effects Plot for Fitted Linear Regression Model  
% Plot the effects of two predictors in 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 an effects plot. 
plotEffects(mdl)    

%%
% The width of each horizontal line in the figure shows a confidence interval
% for the effect on the response of the listed change in each predictor.
% The estimated effect of changing |Year| from |70| to |82| is an increase
% of about 8, and is between 6 and 10 with 95% confidence.