analysis

Warning: package 'brms' was built under R version 4.4.1

Warning: package 'readxl' was built under R version 4.4.1

Warning: package 'bayesplot' was built under R version 4.4.1

From the BRM plot, we can infer that:

Age has a slightly negative impact on the outcome variable. Study Time Weekly has a positive and significant effect. Absences negatively impact the outcome. Parental Support and Tutoring positively affect the outcome.

#|echo: false 



hispanic_growth <- c(63.85, 64.66, 65.22)
years <- c(2021, 2022, 2023)
plot(years, hispanic_growth, type="o", col="blue", xlab="Year", ylab="Population (in millions)", main="Hispanic Population Growth")

non_hispanic_growth <- c(268.13, 269.24, 269.73)
plot(years, non_hispanic_growth, type="o", col="red", xlab="Year", ylab="Population (in millions)", main="Non-Hispanic Population Growth")

# Assuming brm_plot contains the BRM plot