Tugas Komputasi Statistika Lanjut.

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Actividad 2: Modelos Estadísticos para la toma de decisiones Estimación de Modelos de Regresión Lineal Múltiple para dos solicitudes de Vivienda y Georeferenciación de las Ofertas Potenciales.

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We use the Lasso model (Least Absolute Shrinkage and Selection Operator) in regression analysis to estimate the relationship between the dependent variable and a set of predictors. Lasso regression introduces a penalty term that reduces the magnitude of the coefficients and may force some of them to become exactly zero, thereby performing automatic variable selection. The method is particularly useful when the dataset contains a large number of predictors or when a strong degree of correlation exists among them, helping to obtain a more stable and interpretable model.

St. Louis crime analysis 2013-2014