## Function Multiple-Linear-Regression-Brief

(

**multiple-linear-regression-brief** < dv > &rest < ivs > )

Let m be the number of independent variables, ` ivs.' This function returns a<br> vector of length m which are the coefficients of a linear equation that best<br> predicts the dependent variable, `

dv,' in the least squares sense. It also

returns, as the second value, the sum of squared deviations of the data from the

fitted model, aka SSE, aka chi-square. The third value is the number of degrees

of freedom for the chi-square, if you want to test the fit.

This function returns an intermediate amount of information. Consider using the

sibling functions -minimal and -verbose if you want less or more information.