This homework assignment involves applying linear regression models (and cousins) to datasets with large numbers of predictors compared to the number of rows of data

# Load ggplot2 for visualization library(ggplot2) # Plot blood pressure over time by treatment group ggplot(longitudinal_data, aes(x = Time, y = Blood_Pressure, color = Treatment)) + geom_line(aes(group = Patient_ID), alpha = 0.3) + # Individual patient lines stat_summary(fun = mean, geom = "line", size = 1.2, aes(group = Treatment)) + # Mean line labs(title = "Blood Pressure over Time by Treatment Group", x = "Time", y = "Blood Pressure") + theme_minimal()

Data 624 Exploring linear regression models

Group 18 Assignment 6