Modelo estadístico de regresión múltiple, columna vertebral para predecir en empresas multinacionales con estilo de venta por catálogo
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2013-09-26
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Corporación Universitaria Lasallista
Resumen
Introduction. By the use of this modeling procedure,
creating a general statistical scheme was possible.
Such model could be standardized for the
company´s whole products catalog, aiming to make
simulations and predictions with a high confidence
degree concerning the evolutions in time established
by the same company. Objective. To show an
innovative estimation system created to predict the
demand of the products, which are segmented by
their inventorial reference numbers, SKU (Stock
Keeping Unit). Materials and methods. A statistical
model was made to predict the products´ demand
in a time period determined by the company. A static
multiple regression model was used, taking into
account especial marketing variables for direct sales
companies. Results. In the studies performed,
R2 adjustment levels between 70% and 80% were
achieved, with a minimal multicollinearity between
variables and a statistical behavior of statistically acceptable
residuals under randomness and normality
terms, and with wide variance stability. Conclusion.
This multiple regression model is an option that can
be the base for prediction in catalog selling multinational
companies.
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Corporación Universitaria Lasallista, Modelos estadísticos, Ventas por catálogo, Stock keeping unit (SKU), Logística, Comercio - Investigaciones