Analysis of variance 8 Implementing the found outmultidemensional interaction structure

Navigation on video fragments: (after entering, use the navigation area on the page’s right side) All my constructed variables are easily interpretable. Thus, the variable ““ indicates age of the Europeans who have a lower level of education and a medium position in society. And the variable ““ indicates which Europeans have the combination of a lower level of education and a medium position in society. Before starting regression modelling, I return to “Parameter estimates“ table. This table provides preliminarily calculated linear regression coefficients for effects treated as covariates and for categories of effects treated as factors. These coefficients may help to simplify a model because one may consider jointly those homogeneous effects which have roughly equal coefficients. This simplification doesn’t reduce a model’s R-squared. Thus, I may join categories [prtdgcl=1] (the Europeans who are very close to a party) and [prtdgcl=2 the Europeans who are quite close to a party]. I will consider in details this useful proper of “Parameter estimates“ table in another series of video.