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

67 views (last 30 days)
How to view the equation of a linear regression model, automatically generated with regression learner, as the coefficients of the variables and the intercept.

Accepted Answer

Jule
Jule on 7 Jan 2021
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

More Answers (1)

Abhishek Gupta
Abhishek Gupta on 21 Dec 2020
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

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!