Regression Analysis 1
Regression Analysis 1 : A statistical technique applied to data to determine, for predictive purposes, the degree of correlation of a dependent variable with one or more independent variables, in other words, to see if there is a strong or weak cause-and-effect relationship between two or more parameters. More specifically, standard regression analysis considers one of the two compared variables as independent (given and error free) and the other one as dependent and error afflicted, in contrast to correlation analysis which considers both variables as being in error. In this sense, the so-called orthogonal regression, preferable for deriving regression relationships between different types of magnitude data, is a correlation analysis between magnitude data with comparably large initial errors. See Bormann et al. (2007, 2009) and Castellaro and Bormann (2007)
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