www.gusucode.com > stats 源码程序 matlab案例代码 > stats/ComputeCoefficientConfidenceIntervalsExample.m
%% Compute Coefficient Confidence Intervals % This example shows how to compute coefficient confidence intervals. % Copyright 2015 The MathWorks, Inc. %% % Load the sample data and fit a linear regression model. load hald mdl = fitlm(ingredients,heat); %% % Display the 95% coefficient confidence intervals. coefCI(mdl) %% % The values in each row are the lower and upper confidence limits, respectively, % for the default 95% confidence intervals for the coefficients. For example, % the first row shows the lower and upper limits, -99.1786 and 223.9893, % for the intercept, $\beta_0$ . Likewise, the second row shows % the limits for $\beta_1$ and so on. %% % Display the 90% confidence intervals for the coefficients ($\alpha$ = 0.1). coefCI(mdl,0.1) %% % The confidence interval limits become narrower as the confidence level % decreases.