This lab applies Simple Linear Regression (SLR) to the Behavioral Risk Factor Surveillance System (BRFSS) 2020 data, a nationally representative telephone survey conducted by the CDC among U.S. adults. The analysis examines whether BMI is associated with the number of poor physical health days reported in the past 30 days. Tasks include exploratory data analysis, model fitting and interpretation, ANOVA decomposition, R² computation, confidence and prediction intervals, residual diagnostics, and comparison of BMI versus age as predictors. Results are interpreted in the context of public health, with attention to model assumptions and limitations of simple linear regression for this outcome.

demo

En este informe se analiza el caso de la empresa C&A, que necesita responder dos solicitudes de compra de vivienda en la ciudad de Cali. Para ello se emplea un modelo de regresión lineal múltiple, con el fin de explicar y predecir el precio de las viviendas a partir de variables físicas y comerciales de la base de datos.

Following along with Dr. T's tutorial | HW 6