There are various automatic programming models inspired by evolutionary computation techniques. Due to the importance of devising an automatic mechanism to explore the complicated search space of mathematical problems where numerical methods fails, evolutionary computations are widely studied and applied to solve real world problems. One of the famous algorithm in optimization problem is shuffl...

The article considers the problem related to correlation and regression analysis. use of analysis methods is shown in specific example illustrating study a particular economic situation. Special attention paid Excel Analysis Package, which significantly simplifies solution from computational standpoint.

Feature subset selection is the process of identifying and removing from a training data set as much irrelevant and redundant features as possible. This reduces the dimensionality of the data and may enable regression algorithms to operate faster and more effectively. In some cases, correlation coefficient can be improved; in others, the result is a more compact, easily interpreted representati...