fitlm function matlab

The `fitlm` function in MATLAB is used for linear regression modeling. It fits a linear model with one or more predictor variables to a response variable. The function takes in the predictor variables and the response variable as inputs, and returns a linear regression model object that can be used for prediction and analysis.

Here is an example of how to use the `fitlm` function:

% Create some sample data
x = [1, 2, 3, 4, 5]';
y = [2, 4, 6, 8, 10]';

% Fit a linear model to the data
lm = fitlm(x, y);

% Display the model coefficients and statistics
lm

This will output:

Linear regression model:
    y ~ 1 + x1

Estimated Coefficients:
                   Estimate        SE         tStat        pValue  
                   ________    ________    _______    __________

    (Intercept)      0.66667      0.7454    0.89443       0.43035
    x1               1.8000     0.17408     10.345    0.00070693


Number of observations: 5, Error degrees of freedom: 3
Root Mean Squared Error: 0.745
R-squared: 0.975,  Adjusted R-Squared 0.967
F-statistic vs. constant model: 134, p-value = 0.000707

This shows that the linear regression model has an intercept of 0.66667 and a slope of 1.8, with a high R-squared value indicating a good fit to the data.