This project investigates the determinants of newborn birth weight using a series of linear regression models. Starting with simple linear predictors, we explored the inclusion of interaction terms and non-linear effects to improve model fit and predictive accuracy. Key predictors include maternal age, number of previous pregnancies, gestational age, newborn length, head circumference, and sex.

This report provides a data-driven analysis of the Texas real estate market, focusing on pricing trends, inventory levels, and regional variations across four cities.