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.

Abstract This contribution provides information about correlations among the neutron-proton ( np ) elastic scattering observables. The most basic prerequisite for this study is existence of models nucleon-nucleon (NN) force, which a covariance matrix potential parameters available. Using matrices chiral SMS NN from Bochum-Bonn group and one OPE-Gaussian proposed by Granada group, we performed s...

In the multi-view regression problem, we have a regression problem where the input variable (which is a real vector) can be partitioned into two different views, where it is assumed that either view of the input is sufficient to make accurate predictions — this is essentially (a significantly weaker version of) the co-training assumption for the regression problem. We provide a semi-supervised ...

SAS® has many tools that can be used for data analysis. From Freqs and Means to Tabulates and Univariates, SAS can present a synopsis of data values relatively easily. However, there is a difference between what the data are, and what the data mean. In order to take this next step, I would like to go beyond the basics and introduce correlation and hypothesis testing using regression models. A b...