How to view the equation of a linear regression model, automatically generated with regression learner

How to view the equation of a linear regression model, automatically generated with regression learner, as the coefficients of the variables and the intercept.

Answer 1

[Jule]

Export the model and then open the newly created structure variable from your workspace window. Under 'coefficients' and 'CoefficientNames' there will be a list of the variables and the associated values and 2SD uncertainties for the fit. Note that 'VariableA:VariableB' actually means VariableA * VariableB, but it's written as a division for some weird reason

[Carolina Hernández]

Thank you

Answer 2

[Abhishek Gupta]

As per my understanding, you want to view the linear regression model equation with coefficients and intercept in it. Below code output the equation in a string format: -

load carsmall   % Load the carsmall data set
X = [Weight,Horsepower,Acceleration];
mdl = fitlm(X,MPG); % Fit a linear regression model

vars = cat(1, {'1'}, mdl.PredictorNames);   % create variable matrix 
coeffs = string(mdl.Coefficients.Estimate); % create coeffcients matrix 

equation = strcat('y=', strjoin(strcat('(', strcat(strcat(coeffs, '*'), vars), ')'), ' + '));   % output   

[Carolina Hernández]

Thank you