A simplified procedure of linear regression in a preliminary analysis

FACCHINETTI, SILVIA; Dipartimento Di Scienze Statistiche - Università Cattolica Del S. Cuore - Milano & MAGAGNOLI, UMBERTO; Dipartimento Di Scienze Statistiche - Università Cattolica Del S. Cuore - Milano
The analysis of a statistical large data-set can be led by the study of a particularly interesting variable Y – regressed – and an explicative variable X, chosen among the remained variables, conjointly observed. The study gives a simplified procedure to obtain the functional link of the variables y=y(x) by a partition of the data-set into m subsets, in which the observations are synthesized by location indices (mean or median) of X and Y. Polynomial...