This resource provides information about a MATLAB function performs the explicit calculations required to perform a least squares analysis of data for fitting a linear model. The user inputs the design matrix X (which is assumed to have a y-intercept), a column vector of measured values y, and the appropriate t values used for the confidence interval and the number of degrees of freedom.