standard error of regression from fitlm

조회 수: 11 (최근 30일)
masih 2017년 5월 11일
답변: Gautham Sholingar 2017년 5월 16일
Hi Everyone:
I am using fitlm function for linear regression of some data. How do I find the standard error of the regression? I do not want the standard error of the coefficients. Please help.

답변 (1개)

Gautham Sholingar
Gautham Sholingar 2017년 5월 16일
The linear model created by using the fitlm command has properties like MSE, Rsquared and SSE (Sum of Squared Errors) which should give you the data you want.
load hald
linearModel = fitlm(ingredients,heat);
% Mean Squared error
linearModel.SSE % Sum of squared errors
% Predict using a different data set
% using the same data set here for demonstration
prd = predict(linearModel,ingredients)
% compare to original data and measure mean squared
heat % replace with expected values
% sum of squared errors
error = sum((prd - heat).^2)
In addition, you can use the linear model to predict the output for a different data set and then use the method shown in the above code to compute the sum of the squared errors.


Help CenterFile Exchange에서 Linear and Nonlinear Regression에 대해 자세히 알아보기


Community Treasure Hunt

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

Start Hunting!

Translated by