Assignment: Using a New York Times API in R The New York Times provides multiple public APIs via its developer portal (NYT Developer Network).

This project presents a multiple linear regression analysis of mentally unhealthy days among U.S. adults using the 2023 Behavioral Risk Factor Surveillance System (BRFSS) data (n = 8,000). The analysis examines how physical health, BMI, sex, exercise, age, income, education, and smoking status predict self-reported mentally unhealthy days in the past 30 days. Key components include full model estimation with coefficient interpretation, Type III partial F-tests, chunk tests for income and education, and an interaction analysis exploring whether the association between current smoking and mental health differs by sex. Findings are visualized through adjusted predicted marginal means with 95% confidence intervals. All data processing, recoding, and modeling were conducted in R using tidyverse, broom, gtsummary, car, and ggeffects.