The least-squares criterion is a method of measuring the accuracy of a line in depicting the data that was used to generate it. That is, the formula determines the line of best fit.

The 3SLS output begins with a two-stage least-squares regression to estimate the cross-model correlation matrix. This output is the same as the 2SLS results shown in Figure 19.3 and Figure 19.4, and ...

Covers simple, multiple, and polynomial regression; estimation, testing, and prediction; weighted least squares, matrix approach, dummy variables, multicollinearity, model diagnostics and variable ...

Solving Standard Least-Squares Problems . ... These statistics are normally defined in terms of the squared canonical correlations which are the eigenvalues of the matrix H*inv(H+E). Here the R-Square ...

Log-linear least-squares method. A statistical technique for fitting a curve to a set of data points. One of the variables is transformed by taking its logarithm, and then a straight line is ...