This analysis applies multiple linear regression model selection techniques to the 2020 Behavioral Risk Factor Surveillance System (BRFSS) dataset (n = 5,000), predicting the number of physically unhealthy days in the past 30. Using nine candidate predictors, including mental health days, sleep hours, age, BMI, exercise, general health status, and income, the analysis evaluates model fit using R², Adjusted R², AIC, and BIC. It then walks through best subsets regression, automated selection methods (backward elimination, forward selection, and stepwise), and concludes with an associative model built around sleep hours as the exposure, applying the 10% change-in-estimate rule to systematically identify confounders and arrive at a valid adjusted estimate of the sleep–physical health association.

This study establishes a robust and practical framework for generating a microbially diverse yet stable microcosm system for studying host-microbiota interactions in nematodes. By showing that CME maintains compositional stability during storage and supports reproducible consistent microbial exposure while preserving ecological complexity.

Atividade 1 disciplina Análise Multivariada

Analysis file where we analyzed the financial sustainability of pathway offerings across high schools in Metro Nashville Public Schools.

Performed comprehensive exploratory data analysis and data cleaning on a real-world marketing dataset from FreshDirect to uncover customer behavior patterns and business insights. The project involved handling complex missing data, transforming currency variables, and imputing demographic information using segment-based approaches. Key analyses included customer segmentation, income and spending patterns, loyalty behavior, promotion usage, and delivery service adoption. Statistical methods and visualizations were applied to evaluate relationships such as income vs. orders, gender vs. sales, and customer tenure vs. loyalty. The findings highlight key drivers of customer value, including the dominance of frequent shoppers, the impact of DeliveryPass on revenue, and behavioral differences across income and age groups, providing actionable insights for targeted marketing strategies.

Библиотеки в регионах России, согласно статистике Минкульта и Росстата за 2023 г.